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Google: Gemini 3.7 Flash

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning

Source-linked gemini-flash Closed weights Released 2026-08-13
API record Report
InputT
OutputT
Input price$0.75/M
Output price$3.75/M
Context1.04858M
Max output65.536K
Providers33
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Gemini 3.7 Flash
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Kenari gemini-3-7-flash 1.04858M 65.536K $0.343 $1.714 $0.034 ReasoningToolsJSON Docs ↗
Google gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
NanoGPT google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Vertex gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Requesty gemini-3.7-flash 1.04858M 65.535K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Kilo Gateway google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Merge Gateway google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Vercel AI Gateway google/gemini-3.7-flash 1M 65.535K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
OpenRouter google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
GitHub Copilot gemini-3.7-flash 1M 64K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Cortecs gemini-3.7-flash 1.04858M 65.535K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Abacus gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
AIHubMix gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Eden AI vertex/gemini-flash-latest 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Eden AI vertex/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
CrossModel gemini/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Opper vertexai/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Vivgrid gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Ofox google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
302.AI gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Opper gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Tempr Gateway google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
AI/ML API google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Cloudflare AI Gateway google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Perplexity Agent google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Poe google/gemini-3.7-flash 1.04858M 65.536K $0.758 $3.788 $0.076 ReasoningToolsJSON Docs ↗
Venice AI gemini-3-7-flash 1M 65.536K $0.938 $4.688 $0.094 ReasoningToolsJSON Docs ↗
Prime Inference google/gemini-3.7-flash 1.04858M 65.536K $1.35 $6.75 — ReasoningToolsJSON Docs ↗
OpenCode gemini-3.7-flash 1.04858M 65.536K $1.5 $7.5 $0.15 ReasoningToolsJSON Docs ↗
Eden AI google/gemini-3.7-flash 1.04858M 65.536K $1.5 $7.5 $0.15 ReasoningToolsJSON Docs ↗
Neon gemini-3-7-flash 1.04858M 65.536K $1.5 $7.5 $0.15 ReasoningToolsJSON Docs ↗
CommandCode google/gemini-3.7-flash 1.04858M 65.536K $1.5 $7.5 $0.15 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.343/M

Across 33 priced providers

Median input $0.75/M

Midpoint of listed rates

Highest input $1.5/M

4.4× the lowest listed rate

Output range $1.714 – $7.5

Per million output tokens

Kenari $0.343/MLowest
Google $0.75/M
NanoGPT $0.75/M
Vertex $0.75/M
Requesty $0.75/M
Kilo Gateway $0.75/M
Merge Gateway $0.75/M
Vercel AI Gateway $0.75/M
OpenRouter $0.75/M
DevPass (LLM Gateway) $0.75/M
GitHub Copilot $0.75/M
Cortecs $0.75/M
Abacus $0.75/M
AIHubMix $0.75/M
Eden AI $0.75/M
Eden AI $0.75/M
CrossModel $0.75/M
Opper $0.75/M
Vivgrid $0.75/M
Ofox $0.75/M
302.AI $0.75/M
Opper $0.75/M
Tempr Gateway $0.75/M
AI/ML API $0.75/M
Cloudflare AI Gateway $0.75/M
Perplexity Agent $0.75/M
Poe $0.758/M
Venice AI $0.938/M
Prime Inference $1.35/M
OpenCode $1.5/M
Eden AI $1.5/M
Neon $1.5/M
CommandCode $1.5/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 1M to 1.04858M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
× Open weights No
Creator
Google
Model family
gemini-flash
Knowledge cutoff
2026-03
License
Not documented
Release date
2026-08-13
Model ID
google/gemini-3.7-flash
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
IntelligenceIntelligence Index Coding IndexCoding Index Agentic IndexAgentic Index Design Arena: w…Design Arena: website Design Arena: g…Design Arena: gamedev Design Arena: c…Design Arena: codecategories Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Intelligence Index: 39.6 index (84.3th percentile) This model — Coding Index: 71.5 index (84.1th percentile) This model — Agentic Index: 35.2 index (74.1th percentile) This model — Design Arena: website: 1302 elo (87.8th percentile) This model — Design Arena: gamedev: 1319 elo (88.0th percentile) This model — Design Arena: codecategories: 1307 elo (87.8th percentile) This model — Design Arena: dataviz: 1317 elo (90.7th percentile) This model — Design Arena: uicomponent: 1292 elo (80.8th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Intelligence Index index Source ↗
Intelligence Index #52 of 334
Coding Index index Source ↗
Coding Index #32 of 214
Agentic Index index Source ↗
Agentic Index #52 of 201
Design Arena: website elo Source ↗
Design Arena: website #24 of 200
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #23 of 191
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #22 of 188
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #17 of 183
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #33 of 182
Design Arena: 3d elo Source ↗
Design Arena: 3d #31 of 176
Design Arena: svg elo Source ↗
Design Arena: svg #20 of 128
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #14 of 108
Design Arena: webapps elo Source ↗
Design Arena: webapps #31 of 80
Design Arena: mobileapps elo Source ↗
Design Arena: mobileapps #19 of 77
Design Arena: fullstack elo Source ↗
Design Arena: fullstack #30 of 69
Design Arena: androidnative elo Source ↗
Design Arena: androidnative #11 of 61
Design Arena: godotgamedev elo Source ↗
Design Arena: godotgamedev #12 of 55
Design Arena: agenticgamedev elo Source ↗
Design Arena: agenticgamedev #12 of 44
Design Arena: blender3d elo Source ↗
Design Arena: blender3d #23 of 35
Design Arena: spreadsheet elo Source ↗
Design Arena: spreadsheet #19 of 31
DeepSWE — 1.1 resolve rate · 2026-08-13 Source ↗
DeepSWE #6 of 8
GDM-MRCR — v2 accuracy · 2026-08-13 Source ↗
GDM-MRCR #1 of 3
Terminal-Bench — 2.1 accuracy · 2026-08-13 Source ↗
85.8 2 models scored — too few for a distribution
AutomationBench accuracy · 2026-08-13 Source ↗
30.4 1 model scored — too few for a distribution
FrontierCode — 1.1 Main score · 2026-08-13 Source ↗
43.6 1 model scored — too few for a distribution
GDP.pdf accuracy · 2026-08-13 Source ↗
34.0 1 model scored — too few for a distribution

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Intelligence Index, the benchmark with the widest published coverage that this model appears in.

0 31 61 $0.01 $0.1 $1 $10 $100 Nova 2 Lite — $0.3/M, score 13.4 Nova Lite 1.0 — $0.059/M, score 6.7 Nova Micro 1.0 — $0.035/M, score 5.9 Amazon: Nova Premier 1.0 — $2.5/M, score 9.2 Nova Pro 1.0 — $0.799/M, score 7.0 Claude Fable 5 — $10/M, score 49.6 Anthropic: Claude Fable 5.1 — $10/M, score 53.4 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 53.4 Anthropic: Claude Fable 5 (batch) — $5/M, score 49.6 Anthropic: Claude Haiku 4.5 — $1/M, score 16.9 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 16.9 Anthropic: Claude Haiku 5.5 — $0.1/M, score 43.4 Anthropic: Claude Haiku 5.5 (batch) — $0.05/M, score 43.4 Anthropic: Claude Opus 4.1 — $15/M, score 22.8 Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 22.8 Anthropic: Claude Opus 4.5 — $5/M, score 29.1 Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 29.1 Anthropic: Claude Opus 4.6 — $5/M, score 31.9 Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 31.9 Anthropic: Claude Opus 4.7 — $5/M, score 40.7 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 40.7 Anthropic: Claude Opus 4.8 — $5/M, score 41.8 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 41.8 Claude Opus 5 — $5/M, score 50.8 Anthropic: Claude Opus 5.5 — $4/M, score 57.6 Anthropic: Claude Opus 5.5 (batch) — $2/M, score 57.6 Anthropic: Claude Opus 5 (batch) — $2.5/M, score 50.8 Anthropic: Claude Sonnet 4 — $3/M, score 18.9 Anthropic: Claude Sonnet 4.5 — $3/M, score 20.7 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 20.7 Anthropic: Claude Sonnet 4.6 — $3/M, score 30.1 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 30.1 Claude Sonnet 5 — $2/M, score 38.2 Anthropic: Claude Sonnet 5.5 — $2/M, score 56.0 Anthropic: Claude Sonnet 5.5 (batch) — $1/M, score 56.0 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 38.2 Trinity Large Thinking — $0.25/M, score 10.8 Command A — $2.5/M, score 13.1 DeepSeek V3 0324 — $0.2/M, score 9.7 DeepSeek V3.1 — $0.19/M, score 13.7 DeepSeek-R1 — $0.58/M, score 11.4 DeepSeek R1 0528 — $0.2/M, score 13.1 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 14.8 DeepSeek V3.2 — $0.209/M, score 21.5 DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 16.6 DeepSeek V4 Flash — $0.15/M, score 24.4 DeepSeek V4 Flash 0731 — $0.035/M, score 34.3 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 34.3 DeepSeek V4 Flash Vision Exp — $0.15/M, score 34.8 DeepSeek V4 Pro — $0.66/M, score 30.4 DeepSeek V4 Pro 0813 — $0.132/M, score 36.0 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 36.0 DeepSeek V4.1 Flash — $0.02/M, score 24.7 DeepSeek V4.1 Flash 1017 — $0.15/M, score 39.5 DeepSeek: DeepSeek V4.1 Flash (batch) — $0.05/M, score 24.7 Gemini 2.5 Flash — $0.3/M, score 15.5 Gemini 2.5 Flash-Lite — $0.1/M, score 10.4 Google: Gemini 2.5 Flash Lite (batch) — $0.05/M, score 10.4 Google: Gemini 2.5 Flash (batch) — $0.15/M, score 15.5 Gemini 2.5 Pro — $1.25/M, score 16.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 16.1 Gemini 3 Flash Preview — $0.5/M, score 26.3 Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 26.3 Gemini 3.1 Flash Lite Preview — $0.25/M, score 15.6 Gemini 3.1 Pro Preview — $2/M, score 29.7 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 29.7 Gemini 3.5 Flash — $1.5/M, score 33.6 Gemini 3.5 Flash Lite — $0.3/M, score 22.2 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 22.2 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 33.6 Gemini 3.6 Flash — $0.75/M, score 34.0 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 34.0 Gemini 3.7 Flash — $0.75/M, score 39.6 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 39.6 Gemini 3.8 Flash — $0.75/M, score 40.9 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 40.9 Gemini 4 Argon — $2/M, score 52.6 Google: Gemini 4 Argon (batch) — $1/M, score 52.6 Gemma 3 12B IT — $0.04/M, score 3.8 Gemma 3 27B IT — $0.08/M, score 4.9 Gemma 3 4B IT — $0.04/M, score 4.8 Gemma 4 26B A4B IT — $0.042/M, score 16.7 Gemma 4 31B IT — $0.1/M, score 14.7 Google: Gemma 4 31B (batch) — $0.39/M, score 15.4 IBM: Granite 4.0 Micro — $0.017/M, score 5.1 IBM: Granite 4.2 8B — $0.06/M, score 11.1 Mercury 2 — $0.25/M, score 10.8 Mercury 2.5 — $0.2/M, score 12.3 inclusionAI: Ling-2.6-flash — $0.01/M, score 14.2 Ling 3.0 Flash — $0.021/M, score 20.1 Ling 3.0 Flash Fin — $0.075/M, score 22.6 Ling 3.0 Flash VL — $0.06/M, score 24.6 Ling 3.1 Flash — $0.075/M, score 41.1 inclusionAI: Ring-2.6-1T — $0.075/M, score 31.1 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 33.7 LongCat-2.0 — $0.3/M, score 19.1 Meta: Llama 3.1 70B Instruct — $0.4/M, score 6.6 Meta: Llama 3.1 8B Instruct — $0.05/M, score 6.9 Meta: Llama 3.2 1B Instruct — $0.027/M, score 4.8 Meta: Llama 3.2 3B Instruct — $0.051/M, score 5.7 Meta: Llama 3.3 70B Instruct — $0.1/M, score 7.7 Meta: Llama 4 Maverick — $0.188/M, score 9.3 Meta: Llama 4 Scout — $0.1/M, score 6.5 Muse Glimmer 30B — $0.2/M, score 17.5 Muse Spark 1.1 — $1.25/M, score 33.7 Muse Spark 1.2 — $1.25/M, score 39.6 Muse Spark 1.3 — $1.25/M, score 48.1 Microsoft: Phi 4 — $0.07/M, score 5.9 MiniMax: MiniMax M1 — $0.55/M, score 11.7 MiniMax: MiniMax M2 — $0.255/M, score 18.6 MiniMax: MiniMax M2.1 — $0.3/M, score 20.9 MiniMax: MiniMax M2.5 — $0.3/M, score 22.8 MiniMax: MiniMax M2.7 — $0.3/M, score 22.8 MiniMax: MiniMax M3 — $0.3/M, score 29.2 MiniMax: MiniMax M3.1 Flash — $0.15/M, score 42.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 29.2 Mistral: Devstral 2 2512 — $0.4/M, score 8.6 Mistral: Ministral 3 14B 2512 — $0.2/M, score 6.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Mistral: Ministral 3 8B 2512 — $0.15/M, score 5.5 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 5.5 Mistral Large — $2/M, score 5.8 Mistral Large 2407 — $2/M, score 7.6 Mistral: Mistral Large 3 2512 — $0.5/M, score 9.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 9.3 Mistral: Mistral Large 4 — $1.36/M, score 38.4 Mistral: Mistral Medium 3 — $0.4/M, score 9.0 Mistral: Mistral Medium 3.5 — $1.5/M, score 14.2 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 14.2 Mistral: Mistral Medium 3.1 — $0.4/M, score 9.2 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 9.2 Mistral: Saba — $0.2/M, score 6.5 Mistral: Mistral Small 3 — $0.05/M, score 6.7 Mistral: Mistral Small 4 — $0.15/M, score 11.3 Mistral: Mistral Small 4 (batch) — $0.075/M, score 11.3 Mistral: Mixtral 8x22B Instruct — $2/M, score 5.7 Kimi K2 0711 — $0.4/M, score 12.7 Kimi K2 Instruct 0905 — $0.6/M, score 15.3 Kimi K2 Thinking — $0.4/M, score 22.0 Kimi K2.5 — $0.375/M, score 23.5 Kimi K2.6 — $0.95/M, score 27.0 Kimi K2.7 Code — $0.95/M, score 25.8 MoonshotAI: Kimi K2.7 Code (batch) — $0.475/M, score 43.0 Kimi K3 — $3/M, score 43.6 Kimi K3.1 Pro — $2/M, score 55.1 MoonshotAI: Kimi K3 (batch) — $2.28/M, score 43.6 Nex-N2-Pro — $0.5/M, score 41.7 Hermes 3 405B Instruct — $1/M, score 7.4 Hermes 3 70B Instruct — $0.7/M, score 6.7 Hermes 4 405B — $0.996/M, score 7.5 Nemotron 3 Nano 30B A3B — $0.05/M, score 8.9 Nemotron 3 Super 120B A12B — $0.05/M, score 12.8 Nemotron 3 Ultra 550B A55B — $0.1/M, score 22.9 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 38.3 Nemotron 3.5 Lightning 30B A3B — $0.025/M, score 12.9 NVIDIA: Nemotron 3.5 Super VL — $0.15/M, score 26.5 GPT-3.5-turbo — $0.5/M, score 5.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 5.5 GPT-4 — $30/M, score 6.7 GPT-4 Turbo — $10/M, score 7.0 OpenAI: GPT-4 Turbo (batch) — $5/M, score 7.0 GPT-4.1 — $2/M, score 12.7 GPT-4.1 mini — $0.4/M, score 10.2 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 10.2 GPT-4.1 nano — $0.1/M, score 7.8 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 7.8 OpenAI: GPT-4.1 (batch) — $1/M, score 12.7 GPT-4o (2024-05-13) — $5/M, score 7.3 GPT-4o (2024-08-06) — $2.5/M, score 7.7 GPT-4o (2024-11-20) — $2.5/M, score 8.4 GPT-4o mini — $0.15/M, score 6.7 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 6.7 GPT-5 — $1.25/M, score 23.0 GPT-5 Mini — $0.25/M, score 20.6 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 20.6 GPT-5 Nano — $0.05/M, score 13.0 OpenAI: GPT-5 Nano (batch) — $0.025/M, score 13.0 GPT-5.1 — $1.25/M, score 24.7 GPT-5.1 Codex — $1.07/M, score 23.7 GPT-5.1 Codex mini — $0.22/M, score 20.4 OpenAI: GPT-5.1 (batch) — $0.625/M, score 24.7 GPT-5.2 — $1.75/M, score 30.4 GPT-5.2 Codex — $0.14/M, score 28.5 OpenAI: GPT-5.2 (batch) — $0.875/M, score 30.4 GPT-5.3 Codex — $1.75/M, score 32.5 GPT-5.4 — $2.5/M, score 39.0 GPT-5.4 mini — $0.75/M, score 24.1 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 24.1 GPT-5.4 nano — $0.2/M, score 20.7 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 20.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 39.0 GPT-5.5 — $5/M, score 38.4 OpenAI: GPT-5.5 (batch) — $2.5/M, score 38.4 GPT-5.6 Luna — $0.2/M, score 37.3 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 37.3 GPT-5.6 Sol — $4/M, score 47.0 OpenAI: GPT-5.6 Sol (batch) — $2/M, score 47.0 GPT-5.6 Terra — $2/M, score 42.1 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 42.1 OpenAI: GPT-5 (batch) — $0.625/M, score 23.0 GPT-6 Astra — $10/M, score 52.7 OpenAI: GPT-6 Astra (batch) — $5/M, score 52.7 GPT-6 Luna — $0.1/M, score 38.1 OpenAI: GPT-6 Luna (batch) — $0.05/M, score 38.1 GPT-6 Sol — $2/M, score 47.6 OpenAI: GPT-6 Sol (batch) — $1/M, score 47.6 GPT-6.1 Sol — $2/M, score 51.8 OpenAI: GPT-6.1 Sol (batch) — $1/M, score 51.8 GPT OSS 120B — $0.03/M, score 11.6 OpenAI: gpt-oss-120b (batch) — $0.03/M, score 11.6 GPT OSS 20B — $0.018/M, score 10.0 OpenAI: gpt-oss-20b (batch) — $0.024/M, score 10.0 o1 — $15/M, score 15.2 o1-pro — $150/M, score 12.4 o3 — $2/M, score 20.2 o3-mini — $1.1/M, score 12.5 OpenAI: o3 Mini High — $1.1/M, score 11.0 OpenAI: o3 Mini High (batch) — $0.55/M, score 15.7 OpenAI: o3 Mini (batch) — $0.55/M, score 12.5 o3-pro — $20/M, score 21.9 OpenAI: o3 (batch) — $1/M, score 20.2 o4-mini — $1.1/M, score 16.7 OpenAI: o4 Mini (batch) — $0.55/M, score 16.7 Sonar — $1/M, score 7.7 Sonar Pro — $3/M, score 7.6 Sonar Reasoning Pro — $2/M, score 11.8 Qwen2.5 72B Instruct — $0.36/M, score 7.7 Qwen2.5 Coder 32B Instruct — $0.66/M, score 6.7 Qwen: Qwen3 14B — $0.12/M, score 6.7 Qwen: Qwen3 235B A22B — $0.455/M, score 9.5 Qwen: Qwen3 235B A22B Instruct 2507 — $0.09/M, score 12.0 Qwen: Qwen3 235B A22B Thinking 2507 — $0.45/M, score 12.7 Qwen: Qwen3 30B A3B — $0.12/M, score 7.6 Qwen: Qwen3 30B A3B Instruct 2507 — $0.09/M, score 7.5 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 9.8 Qwen: Qwen3 32B — $0.08/M, score 7.3 Qwen: Qwen3 8B — $0.117/M, score 7.3 Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 11.9 Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 9.6 Qwen: Qwen3 Coder Next — $0.12/M, score 9.2 Qwen: Qwen3 Max — $0.78/M, score 15.6 Qwen: Qwen3 Max Thinking — $0.78/M, score 21.3 Qwen: Qwen3 Next 80B A3B Instruct — $0.09/M, score 9.6 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 11.2 Qwen: Qwen3 VL 235B A22B Instruct — $0.21/M, score 9.9 Qwen: Qwen3 VL 235B A22B Thinking — $0.4/M, score 13.4 Qwen: Qwen3 VL 30B A3B Instruct — $0.15/M, score 7.9 Qwen: Qwen3 VL 30B A3B Thinking — $0.29/M, score 9.5 Qwen: Qwen3 VL 32B Instruct — $0.104/M, score 11.9 Qwen: Qwen3 VL 8B Instruct — $0.25/M, score 7.3 Qwen: Qwen3 VL 8B Thinking — $0.18/M, score 8.2 Qwen: Qwen3.5-122B-A10B — $0.4/M, score 17.7 Qwen: Qwen3.5-27B — $0.27/M, score 22.9 Qwen: Qwen3.5-35B-A3B — $0.14/M, score 19.3 Qwen: Qwen3.5 397B A17B — $0.5/M, score 21.4 Qwen: Qwen3.5-9B — $0.17/M, score 13.3 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 21.8 Qwen: Qwen3.6 27B — $0.25/M, score 21.4 Qwen: Qwen3.6 35B A3B — $0.1/M, score 18.2 Qwen: Qwen3.6 Max Preview — $1.027/M, score 28.4 Qwen: Qwen3.6 Plus — $0.325/M, score 27.0 Qwen: Qwen3.7 Max — $1.475/M, score 29.5 Qwen: Qwen3.7 Plus — $0.32/M, score 25.2 Qwen: Qwen3.7 Plus (batch) — $0.23/M, score 25.2 Qwen: Qwen3.8 2.4T A95B — $2/M, score 39.9 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 39.9 Qwen: Qwen3.8 27B — $0.2/M, score 33.7 Qwen: Qwen3.8 Max — $2/M, score 53.4 Qwen: Qwen3.8 Max (0902) — $2/M, score 45.4 Reka Flash 3 — $0.1/M, score 6.4 Step 3.5 Flash — $0.105/M, score 17.0 Step 3.7 Flash — $0.202/M, score 19.5 Step 5 Preview — $1.046/M, score 43.7 Hy3 preview — $0.18/M, score 25.3 Inkling — $1/M, score 25.0 Inkling Small — $0.3/M, score 25.7 Thinking Machines: Inkling Small (batch) — $0.5/M, score 26.1 Thinking Machines: Inkling (batch) — $1/M, score 25.0 Solar Mini 4 — $0.1/M, score 24.1 Upstage: Solar Pro 3 — $0.15/M, score 7.8 Solar Pro 4 — $0.3/M, score 28.2 SpaceXAI: Grok 4.20 — $1.25/M, score 25.7 SpaceXAI: Grok 4.3 — $1.25/M, score 24.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 24.9 SpaceXAI: Grok 4.5 — $2/M, score 38.8 SpaceXAI: Grok 4.6 — $2/M, score 44.3 SpaceXAI: Grok 4.7 — $2/M, score 46.4 SpaceXAI: Grok Build 0.1 — $1/M, score 27.2 MiMo-V2.5 — $0.14/M, score 21.8 MiMo-V2.5-Pro — $0.435/M, score 26.0 MiMo-V2.6-Flash — $0.14/M, score 37.9 MiMo-V2.6-Pro — $0.435/M, score 46.3 Z.ai: GLM 4.5 — $0.6/M, score 12.8 Z.ai: GLM 4.5 Air — $0.13/M, score 11.1 Z.ai: GLM 4.5V — $0.6/M, score 7.6 Z.ai: GLM 4.6 — $0.55/M, score 18.5 Z.ai: GLM 4.6V — $0.3/M, score 11.2 Z.ai: GLM 4.7 — $0.54/M, score 22.2 Z.ai: GLM 4.7 Flash — $0.061/M, score 14.9 Z.ai: GLM 5 — $1/M, score 27.9 Z.ai: GLM 5 Turbo — $1.2/M, score 26.6 Z.ai: GLM 5.1 — $1.4/M, score 26.1 Z.ai: GLM 5.2 — $0.034/M, score 33.7 Z.ai: GLM 5.2 (batch) — $0.7/M, score 33.7 Z.ai: GLM 5.3 — $0.079/M, score 44.8 Z.ai: GLM 5.3 Flash — $0.15/M, score 41.8 Z.ai: GLM 5.3 Flash (batch) — $0.05/M, score 41.8 Z.ai: GLM 5.3 (batch) — $0.45/M, score 44.8 Z.ai: GLM 5V Turbo — $1.2/M, score 23.5 Gemini 3.7 Flash Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Price Completion1.875 → 3.75
Price Prompt0.375 → 0.75
Price Completion3.75 → 1.875
Price Prompt0.75 → 0.375
Price Completion1.875 → 3.75
Price Prompt0.375 → 0.75
Price Completion3.75 → 1.875
Price Prompt0.75 → 0.375
Price Completion1.875 → 3.75
Price Prompt0.375 → 0.75
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Oct 24, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Kenari documentationprovider documentation ↗Google documentationprovider documentation ↗NanoGPT documentationprovider documentation ↗Vertex documentationprovider documentation ↗Requesty documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗Merge Gateway documentationprovider documentation ↗Vercel AI Gateway documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗DevPass (LLM Gateway) documentationprovider documentation ↗GitHub Copilot documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://modelbench.lol/api/v1/models/google/gemini-3.7-flash
curl
curl "https://modelbench.lol/api/v1/models/google/gemini-3.7-flash"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Gemini 3.7 Flash?

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning. It is published by Google and catalogued here from Models.dev.

How much does Gemini 3.7 Flash cost?

Listed input pricing starts at $0.343 per million tokens from Kenari, rising to $1.5 across 33 listed providers.

What is the context length of Gemini 3.7 Flash?

Gemini 3.7 Flash accepts up to 1.04858M tokens of context and returns up to 65.536K output tokens.

Does Gemini 3.7 Flash support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, reasoning, and image input.

Which providers serve Gemini 3.7 Flash?

30 providers list this model: Kenari, Google, NanoGPT, Vertex, Requesty, Kilo Gateway and 24 more.

Are the weights for Gemini 3.7 Flash open?

No. This model is served through hosted APIs only.

When was Gemini 3.7 Flash released?

The catalog records a release date of 2026-08-13, last verified Oct 24, 2026.

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