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Gemini 3.7 Flash (Medium)

deprecated by benchmark source
Google · released 2026-08-13 · 4 offers

Context 1M tokens

Top 2 cheapest providers (Adjusted $/task)

The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1Googlevia OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/google/gemini-3.7-flash/providers), collected 2026-11-03.
2Google Vertex AIdirect — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03.

Composite

6 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one

47.6

includes −15.4 for its Benchmaxxing signal (from 63.1; why, switch off in Options)

Benchmaxxing signal +15.4, very strong Benchmaxxing tag · very strong report →

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 83AA Intelligence (est.): percentile 90Epoch ECI: percentile 72Software ECI: percentile 62DesignArena: percentile 50

AA Coding v4.x 71.5Coding Agent v1.4 —AA Intelligence (est.) 29.8AA Agentic —Epoch ECI 158.2Software ECI 158.0DesignArena 1209/1209

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

23 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

4 of 24 values are Google's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
  • DesignArena Web Apps (agentic) · attached
  • DesignArena Full-Stack · attached
Compare this model →

Agentic

  • GDPval-AA v2781,407 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench v2.1 (AA)7878.3%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • τ²-Bench Airline (OpenRouter run)10080.6%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

Coding

  • SciCode (AA subproblems) v1.0.19759.8%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • DeepSWE (Datacurve, via Epoch AI)6165.5%

    DeepSWE (Datacurve, via Epoch AI) published 2026-09-15 → · mini-SWE-agent — Pass rate of coding agents on original, long-horizon software engineering tasks, run by Datacurve with the mini-swe-agent harness.

  • FrontierCode 1.1 Main (Cognition)developer's claim43.6%† self-reported by the developer

    FrontierCode 1.1 Main (Cognition) v1.1 → · chisel — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.

  • FrontierCode 1.1 Extended (Cognition)developer's claim56.3%† self-reported by the developer

    FrontierCode 1.1 Extended (Cognition) v1.1 → · chisel — Whether a maintainer would merge the agent's pull request, on the full 150-task FrontierCode set crafted by open-source maintainers and graded with tests, rubrics and verifiers.

  • AA Coding Index v4.x · frozen 2026-10-278371.5

    AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).

Efficiency

Knowledge

Long-context

  • AA-LCR v1.19683.0%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • Context Arena — MRCR v2 (8-needle)8993.4%

    Context Arena — MRCR v2 (8-needle) 8-needle → · Published board — The model must find and reproduce the right one of eight near-identical earlier replies hidden in a long conversation, averaged over context lengths from 8k to 128k tokens.

Science

Tool-use

  • EnterpriseOps-Gym-AA9850.4%

    EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.

  • τ³-Banking (AA) v1.0.17835.5%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

Vision

  • MMMU Pro (AA)9684.7%

    MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.

  • Chartography 100-tasks8043.0%

    Chartography 100-tasks → · Published board — Can a model read the charts professionals rely on — Kaplan-Meier curves, candlesticks, contour maps, Sankey diagrams, Bode plots, wind roses — from the image alone, to an expert-set precision?

  • GDP.pdf 100-tasks4021.8%

    GDP.pdf 100-tasks → · Published board — Can a model answer real professional questions about the PDFs work runs on — manuals, wiring diagrams, filings, forms — so that every rubric criterion an expert wrote is met?

Missing coverage · 296 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Variants / reasoning settings

Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)

VariantAA CodingAA Intelligence
Gemini 3.7 Flash (High)76.129.1est.
Gemini 3.7 Flash (Medium)71.529.8est.
Gemini 3.7 Flash (Low)71.026.0est.
Token offers by platform · 3 offers (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

3 offers within the active global filters, 1 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (2)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/google/gemini-3.7-flash/providers, collected 2026-11-03.

Google
Google

Google Vertex AI (1)

Direct prices from Google Vertex AI's own price list. Source: cloud.google.com/vertex-ai/generative-ai/pricing, collected 2026-11-03.

Google Vertex AI
Gemini 3.7 Flash (Medium) — benchmarks & cost