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Gemini 3.7 Flash

Released Aug 13, 2026 see all recent releases

Decision reading
Gemini 3.7 Flash is tracked, but not publicly ranked yet. The profile exposes 15 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of August 13, 2026 · How the score is built

Strongest published evidence

Agentic ranks #36. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

15 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 57.7

Not eligible for a public rank

Price

$0.75input / $3.75 output

input median $1

blended $2.25

Speed

Not measured

field median 93 tok/s

Time to first token not measured

Context

1Mtokens

field median 200,000

Maximum output length is tracked separately

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic5/5 verified
  2. Coding3/3 verified
  3. Reasoning1/1 verified
  4. Knowledge2/2 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. Multimodal4/4 verified
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, image, video, audio, pdfGoogle Gemini 3.7 Flash model documentation
Parameters
Not disclosed by the provider
Availability
Gemini API · Google AI Studio · Google Antigravity · Gemini Enterprise Agent Platform · Gemini Enterprise · Gemini app via SparkGoogle Gemini 3.7 Flash launch
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordGoogle: Introducing Gemini 3.7 Flash
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #36 of 129Percentile 73rdWeight 22%5 benchmarksVerified54.5
CodingWeight 20%3 benchmarksVerifiedScore pending
ReasoningWeight 17%1 benchmarkVerifiedScore pending
KnowledgeWeight 12%2 benchmarksVerifiedScore pending
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%4 benchmarksVerified76.8
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding3 rows
Coding benchmark values, best verified comparison, weight, and source status
FrontierCode 1.1 MainScore43.6%Versus best verified row

Best verified: Claude Fable 5 · 53.5%

Gap9.9 behindWeightDisplay only
deepSweScore65.3%Versus best verified row

Best verified: GPT-5.6 Sol · 72.7%

Gap7.4 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score85.8%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 87.9%

Gap2.1 behindWeightDisplay only
Agentic5 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score85.8%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 87.9%

Gap2.1 behindWeightDisplay only
Terminal-Bench 3.0Score14.9%Versus best verified row

Best verified: Claude Opus 5 · 42.7%

Gap27.8 behindWeightDisplay only
AutomationBenchScore30.4%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 31.8%

Gap1.4 behindWeightDisplay only
OSWorld 2.0Score47.9%Versus best verified row

Best verified: Claude Opus 5 · 70.6%

Gap22.7 behindWeightDisplay only
Agents' Last ExamScore26.3%Versus best verified row

Best verified: Qwen3.8 Max · 52.4%

Gap26.1 behindWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
GDM-MRCR v2 128K averageGDM-MRCR v2 8-needle, 128K averageScore97%Versus best verified row

Best verified: Gemini 3.7 Flash · 97%

GapBest verifiedWeightDisplay only
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
BioMysteryBench (human-solvable)BioMysteryBench Human SolvableScore87.1%Versus best verified row

Best verified: Claude Opus 5 · 90.1%

Gap3 behindWeightDisplay only
BioMysteryBench (human-difficult)BioMysteryBench Human DifficultScore43.5%Versus best verified row

Best verified: Claude Opus 5 · 49.4%

Gap5.9 behindWeightDisplay only
Multimodal4 rows
Multimodal benchmark values, best verified comparison, weight, and source status
CharXivCharXiv ReasoningScore88.7%Versus best verified row

Best verified: Claude Mythos 5 · 93.5%

Gap4.8 behindWeightWeighted 25%
GDP.pdf (no tools)GDP.pdf mean criteria pass rate without toolsScore34.0%Versus best verified row

Best verified: Claude Opus 5 · 83.4%

Gap49.4 behindWeightDisplay only
CharXiv w/o toolsCharXiv Reasoning without toolsScore84.5%Versus best verified row

Best verified: Claude Mythos 5 · 88.9%

Gap4.4 behindWeightDisplay only
LVBenchScore85.4%Versus best verified row

Best verified: Gemini 3.7 Flash · 85.4%

GapBest verifiedWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Aug 13, 2026 · you are here

Gemini 3.7 Flash

Not publicly ranked · $0.75 / $3.75

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Gemini 3.7 Flash, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Gemini 3.7 Flash is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available as the stable `gemini-3.7-flash` model through the Gemini API and Google AI Studio, and through Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise, and Gemini Spark. Google documents text, image, video, audio, and PDF input; text output; a 1,048,576-token input limit; and a 65,536-token output limit.

Its explicit predecessor is Gemini 3.6 Flash. 15 of 431 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #36. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

Gemini 3.7 Flash release history

Full release history

Frequently asked questions

How does Gemini 3.7 Flash perform overall in AI benchmarks?

Gemini 3.7 Flash has 15 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Gemini 3.7 Flash good for knowledge and understanding?

Gemini 3.7 Flash has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Gemini 3.7 Flash good for coding and programming?

Gemini 3.7 Flash has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Gemini 3.7 Flash good for reasoning and logic?

Gemini 3.7 Flash has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Gemini 3.7 Flash good for agentic tool use and computer tasks?

Gemini 3.7 Flash ranks #36 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 54.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Gemini 3.7 Flash good for multimodal and grounded tasks?

Gemini 3.7 Flash has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does Gemini 3.7 Flash have full benchmark coverage on BenchLM?

No. Gemini 3.7 Flash currently has 16 source-displayable rows across 431 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Gemini 3.7 Flash?

Gemini 3.7 Flash has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Last updated August 13, 2026. Runtime fields remain blank until a sourced snapshot exists.

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