{
 "features_resolved": {
  "snapshot_any": false,
  "snapshot_mem": false,
  "fork": false,
  "pause_resume": false,
  "persistent_disk": false,
  "whole_disk": false,
  "persist_scope": null,
  "volumes": false,
  "auto_stop_idle": true,
  "long_sessions": false,
  "custom_image": false,
  "image_snapshot": false,
  "image_oci": false,
  "vm_isolation": null,
  "docker_inside": false,
  "nested_virt": false,
  "root": null,
  "systemd": false,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": true,
  "browser_control": null,
  "desktop_control": null,
  "browser_and_desktop": false,
  "anti_bot": false,
  "captcha_solving": false,
  "residential_ip": null,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": false,
  "raw_tcp_inbound": false,
  "egress_allowlist": false,
  "open_internet": null,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": false,
  "byoc": false,
  "open_source": false,
  "soc2": false,
  "hipaa": false,
  "sso": false,
  "gpu": false,
  "arm64": false,
  "windows": false,
  "macos": false,
  "lang_python": true,
  "lang_node": false,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": false,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": false,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": true,
  "mcp_server": false,
  "usage_api": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "harness_api": false,
  "own_agent_api": false,
  "fast_boot": null,
  "strong_isolation": null,
  "ingress_rules": false,
  "guest_firewall": false,
  "secret_proxy": false,
  "secret_proxy_any": false,
  "volume_attach": false,
  "volume_shared": false,
  "sidecar": null,
  "fuse": null,
  "kernel_features": null,
  "burst": null
 },
 "company": {
  "id": "gemini-code-execution",
  "checked": "2026-09-30",
  "company": "Google LLC (Alphabet Inc.)",
  "ownership": {
   "value": "subsidiary",
   "parent": "Alphabet Inc.",
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code."
  },
  "stage": {
   "value": "public",
   "source": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001652044&type=10-K",
   "quote": "Alphabet Inc. CIK #: 0001652044 ... 10-K Annual report",
   "confidence": "high",
   "note": "Gemini API code execution is a feature of the Gemini Developer API, a product of Google LLC, wholly owned by Alphabet Inc. (NASDAQ: GOOGL), a public company. No standalone funding history exists for this feature."
  },
  "accelerators": [],
  "total_funding_usd": {
   "value": null,
   "status": "unknown"
  },
  "last_round": {
   "type": "public",
   "amount_usd": null,
   "date": null,
   "leads": [],
   "status": "unknown",
   "source": "",
   "quote": ""
  },
  "investors": [],
  "portfolio_listings": [],
  "revenue": {
   "value_usd": 402836000000,
   "kind": "annual revenue",
   "as_of": "2025",
   "status": "confirmed",
   "basis": "Alphabet Inc. consolidated FY2025 revenue per SEC XBRL company-facts (us-gaap:Revenues), reported in the 10-K filed 2026-02-05. This figure is for all of Alphabet, not the Gemini API code-execution feature specifically.",
   "source": "https://data.sec.gov/api/xbrl/companyconcept/CIK0001652044/us-gaap/Revenues.json",
   "quote": "2025-01-01 2025-12-31 402836000000"
  },
  "employees": {
   "value": null,
   "source": ""
  },
  "note": "This is a feature of Alphabet/Google, not an independently funded company; ownership, stage, and revenue reflect Alphabet Inc. as a whole (public, NASDAQ: GOOGL). No separate funding round or revenue figure exists for the Gemini API code-execution tool itself; it is billed only as part of Gemini model token usage (no separate compute fee)."
 },
 "id": "gemini-code-execution",
 "name": "Gemini API code execution",
 "url": "https://ai.google.dev/gemini-api/docs/code-execution",
 "category": "agent-sandbox",
 "isolation": "container",
 "modes": [
  {
   "key": "built-in-tool",
   "label": "Built-in code execution tool (token-billed only)",
   "flags": [
    "alt"
   ],
   "os": [
    "linux"
   ],
   "pricing": "sizes",
   "vcpu_h": null,
   "ram_gib_h": null,
   "cpu_basis": "alloc",
   "ram_basis": "alloc",
   "active_floor": 0,
   "ram_per_vcpu": [
    null,
    null
   ],
   "ram_fixed_per_vcpu": null,
   "vcpu_options": null,
   "min_vcpu": null,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes": [
    {
     "name": "code execution (size not published)",
     "vcpu": null,
     "ram_gib": null,
     "disk_gib": null,
     "hour": 0,
     "month_cap": null
    }
   ],
   "pool_tiers": null,
   "requires_always_on": false,
   "always_on_month_per_instance": null,
   "commit_note": null,
   "min_billed_seconds": 0,
   "granularity_s": 1,
   "start_fee": 0,
   "boot_overhead_s": null,
   "multiplier": 1,
   "windows_vcpu_h": null,
   "gpu": null,
   "features": {
    "isolation": null
   },
   "note": "Added 2026-09-28 (missing-providers audit). https://ai.google.dev/gemini-api/docs/code-execution: \"There's no additional charge for enabling code execution from the Gemini API.\" You pay model input/output tokens (generated code and execution results count as tokens). Max runtime of the code environment 30 seconds. Flagged alt: an LLM tool, not a sandbox you rent; hour = 0 because the compute is not billed separately.",
   "regions": null
  }
 ],
 "storage": {
  "included_disk_gib": 0,
  "disk_gib_month": null,
  "disk_billed_when_stopped": false,
  "snapshot_gib_month": null,
  "paused_ram_billed": false
 },
 "network": {
  "egress_free_gib": null,
  "egress_gib": null,
  "ipv4_month": null,
  "ipv4_available": false
 },
 "plans": [
  {
   "name": "Gemini API (paid tier)",
   "fee": 0,
   "flags": [],
   "fee_is_credit": false,
   "included_usd": 0,
   "per_seat": 0,
   "waives_start_fee": false,
   "included_applies_to_modes": null,
   "concurrency": null,
   "max_session_h": 0.008333333333333333,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes_allowed": null,
   "note": "Code environment max runtime 30 s per execution; model token pricing per model (not modelled). Usage tiers: Tier 1 (billing linked) billing-tier cap $250/month and spend-rate limit $10 per 10 minutes; Tier 2 (paid $100 + 3 days) $2,000 cap, $50/10 min; Tier 3 (paid $1,000 + 30 days) $20,000-$100,000+ cap, $200/10 min."
  },
  {
   "name": "Gemini API free tier",
   "fee": 0,
   "flags": [],
   "fee_is_credit": false,
   "included_usd": 0,
   "per_seat": 0,
   "concurrency": null,
   "max_session_h": 0.008333333333333333,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes_allowed": null,
   "note": "Token prices 'Free of charge' on the Free Tier (rate-limited; content may be used to improve Google products per the pricing page). Code execution has no extra charge on any tier; 30 s max runtime per execution."
  }
 ],
 "free": {
  "monthly_credit": 0,
  "one_time_credit": 0
 },
 "price_expires": null,
 "features": {
  "linux": true,
  "windows": false,
  "macos": false,
  "arm64": false,
  "gpu": false,
  "gpu_types": [],
  "snapshot": "none",
  "pause_resume": false,
  "fork": false,
  "persistent_disk": false,
  "volumes": false,
  "auto_stop_idle": true,
  "max_session_h": 0.008333333333333333,
  "custom_image": false,
  "docker_inside": false,
  "nested_virt": false,
  "root": null,
  "systemd": false,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": true,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": false,
  "raw_tcp_inbound": false,
  "egress_allowlist": false,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": false,
  "byoc": false,
  "open_source": false,
  "regions": [
   "us"
  ],
  "soc2": false,
  "hipaa": false,
  "sso": false,
  "lang_python": true,
  "lang_node": false,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": false,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": false,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": true,
  "mcp_server": false,
  "isolation": null,
  "image_oci": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "harness_api": false,
  "ingress_rules": false,
  "secret_proxy": false,
  "volume_attach": false,
  "volume_shared": false,
  "anti_bot": false,
  "captcha_solving": false,
  "own_agent_api": false,
  "guest_firewall": false,
  "usage_api": false
 },
 "perf": {
  "cpu_runs_s": null,
  "cold_start_ms": null,
  "burst_tti_ms": null,
  "dax_s": null
 },
 "perf_source": "No benchmark row: provider is not in ComputeSDK results or the HPC run (as of 2026-09-28). See research/perf-map.json.",
 "knobs": [],
 "caveats": [
  "No compute fee: the whole cost is Gemini model tokens (code + results billed as tokens), which this estimator does not model — the $0 compute line is not the bill.",
  "30-second maximum runtime per execution; fixed Python library set, no pip installs.",
  "Hardware (CPU/RAM/disk) not published.",
  "Vertex AI / Agent Engine code execution is a different, metered product.",
  "On a code-execution error the model may regenerate code up to 5 times; the intermediate code and results are billed as tokens.",
  "Token prices on the paid tier are introductory for current Gemini 3.x models: e.g. $0.75/$3.75 per M through 2026-12-31, doubling to $1.50/$7.50 from 2027-01-01 (price_expires applies to the token side, not modelled)."
 ],
 "sources": [
  "https://ai.google.dev/gemini-api/docs/code-execution",
  "https://ai.google.dev/gemini-api/docs/pricing"
 ],
 "audit_2026_09_29": {
  "applied": 2,
  "source": "checked against the provider's live pricing and docs pages",
  "reviewed": 2
 },
 "feature_evidence": {
  "snapshot_auto": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "Built-in tool: a model-invoked, per-call code environment with no machine handle, no state carried across calls and no stop/resume; nothing to snapshot. (The separate managed-agents Environments product does auto-snapshot on idle; see notes.)",
   "checked": "2026-09-29"
  },
  "snapshot_on_demand": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The model can only generate and execute code. It can't return other artifacts like media files.",
   "note": "No snapshot/checkpoint API for the built-in tool; the tool is enabled with an empty config and has no environment ID. Not stated as 'no snapshots' verbatim, hence medium.",
   "checked": "2026-09-29"
  },
  "harness_api": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "The model calls the tool; there is no agent harness running inside the code environment. (The separate managed-agents product, Antigravity agent via the Interactions API with environment=\"remote\", is effectively a first-party harness API; see notes.)",
   "checked": "2026-09-29"
  },
  "ingress_rules": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "No exposed ports / preview URLs at all (card: inbound_https=false); 30 s per-call execution, output returned inline in the model response. Nothing to control.",
   "checked": "2026-09-29"
  },
  "secret_proxy": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "You can't install your own libraries.",
   "note": "No credential mechanism of any kind for the built-in tool (no env vars, no secrets). The separate managed-agents Environments product has a real any-HTTP egress secret proxy; see notes.",
   "checked": "2026-09-29"
  },
  "volume_attach": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The input file can be passed as inline data or uploaded using the [Files API](https://ai.google.dev/gemini-api/docs/files), and the output file is always returned as inline data.",
   "note": "Files go in as inline data / Files API references and come back inline; no persistent volumes.",
   "checked": "2026-09-29"
  },
  "volume_shared": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution.md.txt",
   "quote": "The input file can be passed as inline data or uploaded using the [Files API](https://ai.google.dev/gemini-api/docs/files), and the output file is always returned as inline data.",
   "note": "No volumes at all.",
   "checked": "2026-09-29"
  },
  "browser": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "not offered: outside the product's scope — this is a per-call Python code interpreter tool, not a machine with a browser.",
   "checked": "2026-09-30"
  },
  "anti_bot": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "not offered: outside the product's scope — a token-billed code interpreter with no browser/web access has no bot-detection evasion feature.",
   "checked": "2026-09-30"
  },
  "captcha_solving": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "not offered: outside the product's scope — no browser/web access, so CAPTCHA solving is not applicable.",
   "checked": "2026-09-30"
  },
  "own_agent_api": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "not offered: outside the product's scope — this is a stateless per-call tool of the model API, not a first-party browser/computer-use/research task-agent product with its own control API.",
   "checked": "2026-09-30"
  },
  "egress_allowlist": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "You can't install your own libraries.",
   "note": "No documented outbound internet access for the sandbox at all, and no allow/deny-list controls are offered or mentioned.",
   "checked": "2026-09-30"
  },
  "egress_http_rules": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "You can't install your own libraries.",
   "note": "No documented outbound internet access, and no method/path-level egress rule feature exists for this tool.",
   "checked": "2026-09-30"
  },
  "guest_firewall": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The model can only generate and execute code. It can't return other artifacts like media files.",
   "note": "There is no root/sudo shell exposed to the caller (root=null/no access to the underlying OS); the code environment is a restricted Python interpreter, not a VM/microVM you can configure nftables/iptables inside.",
   "checked": "2026-09-30"
  },
  "static_egress_ip": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "You can't install your own libraries.",
   "note": "No fixed outbound IP is offered or documented; no evidence the sandbox makes outbound network calls at all.",
   "checked": "2026-09-30"
  },
  "hipaa": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/terms",
   "quote": "This data may be stored transiently or cached in any country in which Google or its agents maintain facilities.",
   "note": "The Gemini Developer API (API-key based, ai.google.dev) is a separate product/terms track from Vertex AI; Google does not offer a BAA/HIPAA-eligible designation for this API-key product (HIPAA support is a Google Cloud/Vertex AI feature). Not offered for this product.",
   "checked": "2026-09-30"
  },
  "sso": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "x-goog-api-key: $GEMINI_API_KEY",
   "note": "not offered: outside the product's scope — the Gemini API authenticates with a bearer API key, not an org-level SAML/OIDC single sign-on login flow.",
   "checked": "2026-09-30"
  },
  "eu_data_residency": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/terms",
   "quote": "This data may be stored transiently or cached in any country in which Google or its agents maintain facilities.",
   "note": "The Gemini API's own terms state data may be stored/cached in any country with Google facilities; no EU-only region pinning option is documented for the Developer API (that is a Vertex AI regional-endpoint feature, not this product).",
   "checked": "2026-09-30"
  },
  "max_session_h": {
   "value": 0.008333333333333333,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "30 seconds per code-execution call = 30/3600 h. There is no longer-lived machine/session; each call is capped at 30s.",
   "checked": "2026-09-30"
  },
  "persistent_disk": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The input file can be passed as inline data or uploaded using the Files API, and the output file is always returned as inline data.",
   "note": "No machine/disk handle at all: each call's code environment is ephemeral (30 s max), files go in/out as inline data or via the separate Files API, nothing persists between calls.",
   "checked": "2026-09-30"
  },
  "snapshot": {
   "value": "none",
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "A per-call, model-invoked execution environment with no environment ID and no stop/resume; nothing to snapshot.",
   "checked": "2026-09-30"
  },
  "pause_resume": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "No machine handle exists between/after calls to pause or resume; the environment exists only for the duration of one 30 s execution.",
   "checked": "2026-09-30"
  },
  "fork": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "There is no machine/environment object exposed to the caller at all (only a tool the model invokes), so there is nothing to clone.",
   "checked": "2026-09-30"
  },
  "fork_running": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No fork capability at all (see fork); a fortiori no running-clone capability.",
   "checked": "2026-09-30"
  },
  "memory_snapshot_fork": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No fork/snapshot mechanism exists; not applicable.",
   "checked": "2026-09-30"
  },
  "docker_inside": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python. ... You can't install your own libraries.",
   "note": "Fixed Python-only sandbox with a closed, non-installable library set; no Docker/container runtime is exposed or documented. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "nested_virt": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python. ... You can't install your own libraries.",
   "note": "A restricted, model-driven Python interpreter environment; no /dev/kvm or emulator access is documented. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "ssh": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "There is no addressable machine at all -- only a model tool invoked over the Gemini API -- so there is nothing to SSH into. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "desktop": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The model can only generate and execute code. It can't return other artifacts like media files.",
   "note": "A headless Python-code sandbox with text/CSV/graph I/O only; no GUI/VNC/RDP surface. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "computer_use": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The model can only generate and execute code. It can't return other artifacts like media files.",
   "note": "No desktop exists to drive by screenshots/clicks (see desktop). Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "custom_image": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "You can't install your own libraries.",
   "note": "The Python environment and its library set are fixed by Google; there is no way to boot from a custom image.",
   "checked": "2026-09-30"
  },
  "image_oci": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "You can't install your own libraries.",
   "note": "No OCI/Docker image support; the environment is a Google-managed, fixed Python sandbox.",
   "checked": "2026-09-30"
  },
  "wake_on_request": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "Environments are spun up per model tool-call and torn down within 30 s; there is no stopped/sleeping machine to wake since none persists between requests. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "volumes": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The input file can be passed as inline data or uploaded using the Files API, and the output file is always returned as inline data.",
   "note": "Only inline-data / Files API references move files in and out; no attachable persistent volumes.",
   "checked": "2026-09-30"
  },
  "inbound_https": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No exposed ports or URLs of any kind are documented; output is returned inline in the model response. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "public_ipv4": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No networked machine is exposed to the caller at all; not documented as having any IP. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "agent_harnesses": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No coding-agent harnesses (Claude Code, Codex, OpenCode, etc.) are preinstalled or offered as templates; it's a single built-in tool that runs model-generated Python snippets.",
   "checked": "2026-09-30"
  },
  "mcp_server": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No first-party MCP server shipped to control this tool/sandbox is documented on this page or the Gemini API docs site.",
   "checked": "2026-09-30"
  },
  "gpu": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "A lightweight, 30 s, fixed-library Python execution sandbox for tasks like arithmetic/text processing; no GPU offering documented. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "windows": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python.",
   "note": "Customers don't choose a machine OS; it's a Google-managed Python execution environment reached only via the Gemini API tool. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "macos": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python.",
   "note": "Same as windows: no customer-selectable machine OS exists for this tool. Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "arm64": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python.",
   "note": "No CPU architecture choice is exposed to callers; hardware is not published at all (card caveat). Outside the product's scope.",
   "checked": "2026-09-30"
  },
  "lang_node": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "Gemini is only able to execute code in Python. You can still ask Gemini to generate code in another language, but the model can't use the code execution tool to run it.",
   "note": "Execution is Python-only; Node/JavaScript code can be generated but cannot be run by the tool, even though the client SDK itself is available in JavaScript.",
   "checked": "2026-09-30"
  },
  "self_host": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "This is a hosted Gemini API tool; no option to run the code-execution sandbox on your own infrastructure is documented.",
   "checked": "2026-09-30"
  },
  "byoc": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "No bring-your-own-cloud deployment option is documented; it is only reachable via Google's managed Gemini API.",
   "checked": "2026-09-30"
  },
  "open_source": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The Gemini API provides a code execution tool that enables the model to generate and run Python code.",
   "note": "Closed, Google-hosted tool; no OSI-licensed core product is published for the sandbox itself.",
   "checked": "2026-09-30"
  },
  "live_resize": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "The maximum runtime of the code environment is 30 seconds.",
   "note": "Hardware sizing isn't even published (card caveat) and there's no persistent machine handle to resize; environments last at most 30 s per call.",
   "checked": "2026-09-30"
  },
  "soc2": {
   "value": false,
   "source": "https://cloud.google.com/security/compliance/soc-2",
   "quote": "Advanced security & compliance",
   "note": "Google Cloud's SOC 2 in-scope product list covers Google Cloud Platform / Vertex AI / Gemini Enterprise products; the standalone API-key based Gemini Developer API (ai.google.dev, modeled by this card) is not on that list. The Gemini API pricing page also gates 'Advanced security & compliance' behind a separate Enterprise/Contact-Sales tier, implying the free/paid API tiers modeled here are not SOC 2 attested.",
   "checked": "2026-09-30"
  },
  "usage_api": {
   "value": false,
   "source": "https://ai.google.dev/gemini-api/docs/code-execution",
   "quote": "There's no additional charge for enabling code execution from the Gemini API. You pay model input/output tokens (generated code and execution results count as tokens).",
   "note": "granularity: account-only; cost: no; Gemini code execution is a per-call, ephemeral tool with no environment ID or machine handle. Billing is account-wide via Gemini API tokens, not per-execution. No API endpoint exists to track usage of individual code runs or by any project/tag identifier; only overall Gemini API token usage at the account level.",
   "confidence": "high",
   "checked": "2026-10-01"
  }
 },
 "locations": [],
 "locations_source": "https://ai.google.dev/gemini-api/docs/code-execution",
 "locations_quote": "The maximum runtime of the code environment is 30 seconds.",
 "locations_checked": "2026-10-01"
}