How does Gemini 3.7 Flash compare with other LLMs?

AskClash compares Gemini 3.7 Flash against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for Gemini 3.7 Flash?

The page shows cached published benchmark signals such as HLE, GPQA, SWE-bench, SWE-Pro, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and related model scores when available.

LLM Leaderboard · Proprietary

Gemini 3.7 Flash leaderboard — benchmarks, pricing, and comparisons.

Compare Gemini 3.7 Flash vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

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Rank #12AskClash overall score: 69.1

$1.50 / $7.50Input and output token price, when published. Context: 1M.

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Gemini 3.7 Flash benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall69.1

Benchmark cells10

Context1M

CreatorGoogle

Gemini 3.7 Flash public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

ACB

38.9 score

HLE

53.6 score

GPQA

94.5 score

Terminal-Bench

85.8 score

DeepSWE

65.3 score

CharXiv

84.5 score

MMMU-Pro

85.5 score

MRCR

97.0 score

Gemini 3.7 Flash vs other AI models

Use these comparison links to evaluate Gemini 3.7 Flash against nearby LLMs by benchmark score, price, context window, and provider.

Claude Opus 5 vs Gemini 3.7 Flash Claude Fable 5 vs Gemini 3.7 Flash GPT-5.6 Sol vs Gemini 3.7 Flash Kimi K3 vs Gemini 3.7 Flash Grok 4.6 vs Gemini 3.7 Flash Qwen3.8 Max vs Gemini 3.7 Flash Claude Opus 4.8 vs Gemini 3.7 Flash GPT-5.5 vs Gemini 3.7 Flash

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens

Google has released Gemini 3.7 Flash, a refinement of Gemini 3.6 Flash with algorithmic improvements to its reasoning core. It handles text, images, audio, and video across a 1M-token context window with 64K-token output, and supports customizable thinking con

Google unveils Gemini 3.7 Flash, its "most intelligent workhorse model" for coding and agents, pricing it at $0.75/1M input and $3.75/1M output tokens at launch (Tulsee Doshi/Google)

Tulsee Doshi / Google : Google unveils Gemini 3.7 Flash, its “most intelligent workhorse model” for coding and agents, pricing it at $0.75/1M input and $3.75/1M output tokens at launch — Our most intelligent workhorse model yet for coding and agents. — Senior

Google announces Gemini 3.7 Flash just three weeks after previous release

Ars Technica AI

Gemini 3.7 Flash (High) by @GoogleDeepMind has landed in the Agent Arena with net-improvement score of +3.4%!

Gemini 3.7 Flash (High) by @GoogleDeepMind has landed in the Agent Arena with net-improvement score of +3.4%! It ranks #20 overall in Agent Arena — a significant jump over Gemini 3.6 Flash (High) at #35, and now sits in the same range as Claude Sonnet 4.6 and

Last cached leaderboard date: August 13, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.