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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
Providers25
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 — — — ReasoningToolsJSON Docs ↗
Eden AI vertex/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 ↗
Abacus gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Eden AI 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 — ReasoningToolsJSON Docs ↗
Vertex gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Google 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 ↗
Ofox google/gemini-3.7-flash 1.04858M 65.536K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Cloudflare AI Gateway google-ai-studio/gemini-3.7-flash 1.04858M 65.536K $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 ↗
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 65.536K $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 ↗
CrossModel gemini/gemini-3.7-flash 1.04858M 65.536K $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 ↗
Kilo Gateway google/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 ↗
DevPass (LLM Gateway) 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 ↗
Requesty gemini-3.7-flash 1.04858M 65.535K $0.75 $3.75 $0.075 ReasoningToolsJSON Docs ↗
Venice AI gemini-3-7-flash 1M 65.536K $0.938 $4.688 $0.094 ReasoningToolsJSON Docs ↗
OpenCode Zen 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 $0.75/M

Across 24 priced providers

Median input $0.75/M

Midpoint of listed rates

Highest input $1.5/M

2.0× the lowest listed rate

Output range $3.75 – $7.5

Per million output tokens

Eden AI $0.75/M
AIHubMix $0.75/M
Eden AI $0.75/M
Abacus $0.75/M
Eden AI $0.75/M
302.AI $0.75/M
Vertex $0.75/M
Google $0.75/M
Opper $0.75/M
Ofox $0.75/M
Cloudflare AI Gateway $0.75/M
Cortecs $0.75/M
Merge Gateway $0.75/M
Vercel AI Gateway $0.75/M
Vivgrid $0.75/M
CrossModel $0.75/M
OpenRouter $0.75/M
Kilo Gateway $0.75/M
GitHub Copilot $0.75/M
DevPass (LLM Gateway) $0.75/M
NanoGPT $0.75/M
Requesty $0.75/M
Venice AI $0.938/M
OpenCode Zen $1.5/M
Cost calculator

Estimate a workload

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

22 providers list the identical $0.75 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.

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
Coding IndexCoding Index Agentic IndexAgentic Index IntelligenceIntelligence Index Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Coding Index: 76.1 index (91.2th percentile) This model — Agentic Index: 36.4 index (75.1th percentile) This model — Intelligence Index: 39.4 index (77.6th percentile) This model — Design Arena: website: 1315 elo (93.1th percentile) This model — Design Arena: codecategories: 1320 elo (91.0th percentile) This model — Design Arena: gamedev: 1341 elo (92.2th percentile) This model — Design Arena: dataviz: 1328 elo (94.5th percentile) This model — Design Arena: uicomponent: 1309 elo (85.1th 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.

Coding Index index Source ↗
Coding Index #18 of 205
Agentic Index index Source ↗
Agentic Index #48 of 193
Intelligence Index index Source ↗
Intelligence Index #43 of 192
Design Arena: website elo Source ↗
Design Arena: website #11 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #15 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #12 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #9 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #24 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #16 of 157
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #29 of 99
Design Arena: fullstack elo Source ↗
Design Arena: fullstack #28 of 67
Design Arena: webapps elo Source ↗
Design Arena: webapps #19 of 67
Design Arena: mobileapps elo Source ↗
Design Arena: mobileapps #11 of 66
Design Arena: androidnative elo Source ↗
Design Arena: androidnative #7 of 59
Design Arena: agenticgamedev elo Source ↗
Design Arena: agenticgamedev #11 of 44
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 Coding Index, the benchmark with the widest published coverage that this model appears in.

0 43 86 $0.01 $0.1 $1 $10 OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9 OpenAI: GPT-5 (batch) — $0.625/M, score 37.8 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7 Gemini 3.5 Flash Lite — $0.3/M, score 49.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1 OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3 Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8 Gemini 3.5 Flash — $1.5/M, score 70.1 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5 Gemma 3 12B IT — $0.05/M, score 5.8 GPT-4.1 mini — $0.4/M, score 20.2 DeepSeek V4 Pro — $0.435/M, score 59.4 Claude Sonnet 5 — $2/M, score 71.5 Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7 OpenAI: o1 (batch) — $7.5/M, score 39.7 Z.ai: GLM 5.1 — $0.966/M, score 55.8 Gemini 3.7 Flash — $0.75/M, score 76.1 LongCat-2.0 — $0.3/M, score 45.3 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3 Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1 DeepSeek V3.2 — $0.18/M, score 44.2 OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9 Anthropic: Claude Opus 4.7 — $5/M, score 73.6 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3 Inception: Mercury 2 — $0.25/M, score 31.1 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1 Gemini 3.6 Flash — $0.75/M, score 69.2 Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7 GPT-5.4 mini — $0.75/M, score 56.1 Gemma 4 26B A4B IT — $0.042/M, score 39.3 Claude Fable 5 — $10/M, score 76.5 Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6 Gemini 2.5 Pro — $1.25/M, score 33.3 Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7 MiniMax: MiniMax M3 — $0.3/M, score 58.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9 Anthropic: Claude Fable 5.1 — $10/M, score 81.6 Google: Gemma 4 31B (batch) — $0.39/M, score 43.4 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9 Mistral: Devstral 2 2512 — $0.4/M, score 31.3 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8 DeepSeek-R1 — $0.7/M, score 24.6 Inkling — $1.87/M, score 52.1 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7 Muse Spark 1.1 — $1.25/M, score 71.3 MiMo-V2.5 — $0.14/M, score 56.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3 Kimi K2 Thinking — $0.4/M, score 21.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9 Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5 GPT-5.1 — $1.25/M, score 49.4 Qwen: Qwen3.8 27B — $0.42/M, score 68.1 GPT-5.4 — $2.5/M, score 71.1 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1 MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2 Inkling Small — $0.45/M, score 52.9 GPT-5.5 — $5/M, score 74.9 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5 Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5 Nemotron 3 Super 120B A12B — $0.2/M, score 37.7 IBM: Granite 4.2 8B — $0.06/M, score 22.4 Thinking Machines: Inkling (batch) — $1/M, score 52.1 GPT OSS 120B — $0.03/M, score 30.4 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4 GPT-3.5-turbo — $0.5/M, score 10.7 GPT-4 — $30/M, score 13.1 SpaceXAI: Grok 4.6 — $2/M, score 76.8 Claude Opus 5 — $5/M, score 78.0 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5 GPT-5 Mini — $0.25/M, score 15.6 Gemma 3 4B IT — $0.04/M, score 2.7 Claude Opus 5 (batch) — $2.5/M, score 78.0 Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7 Gemma 3 27B IT — $0.08/M, score 10.1 Gemma 4 31B IT — $0.09/M, score 43.4 OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1 DeepSeek V4 Flash — $0.15/M, score 52.0 GPT-5.6 Luna — $0.2/M, score 71.4 Kimi K2.7 Code — $0.95/M, score 60.8 DeepSeek V4 Pro 0813 — $0.442/M, score 68.8 Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2 Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4 Z.ai: GLM 5.3 — $1.4/M, score 74.8 Anthropic: Claude Opus 4.8 — $5/M, score 74.3 SpaceXAI: Grok 4.3 — $1.25/M, score 42.2 GPT-5.6 Terra — $2/M, score 76.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6 Gemini 3.8 Flash — $0.75/M, score 76.3 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3 MiniMax: MiniMax M2.7 — $0.3/M, score 52.6 SpaceXAI: Grok 4.5 — $2/M, score 72.4 Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5 Kimi K2.6 — $0.95/M, score 61.8 Kimi K3 — $3/M, score 76.2 Solar Pro 4 — $0.3/M, score 52.7 Gemini 3.1 Pro Preview — $2/M, score 68.8 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6 MiMo-V2.5-Pro — $0.435/M, score 60.2 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8 Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0 DeepSeek V4 Flash 0731 — $0.05/M, score 69.1 GPT-5 — $1.25/M, score 37.8 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6 GPT-6 Astra — $10/M, score 76.9 inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6 Qwen: Qwen3.7 Plus — $0.32/M, score 55.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2 GPT-4 Turbo — $10/M, score 21.5 Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3 Anthropic: Claude Sonnet 4 — $3/M, score 37.6 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1 Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4 Qwen: Qwen3.6 Plus — $0.325/M, score 54.5 Z.ai: GLM 4.6 — $0.43/M, score 45.8 GPT-4o (2024-05-13) — $5/M, score 24.2 Muse Spark 1.2 — $1.25/M, score 72.2 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4 GPT-5.6 Sol — $4/M, score 77.4 OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5 GPT-5.4 nano — $0.2/M, score 56.1 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8 Hy3 preview — $0.066/M, score 58.8 GPT-4.1 nano — $0.1/M, score 11.1 GPT OSS 20B — $0.02/M, score 20.7 GPT-4o mini — $0.15/M, score 11.4 o1 — $15/M, score 39.7 Kimi K2.5 — $0.3/M, score 46.8 Trinity Large Thinking — $0.25/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1 Z.ai: GLM 5.2 — $0.966/M, score 68.8 Qwen: Qwen3.7 Max — $1.475/M, score 66.0 SpaceXAI: Grok Build 0.1 — $1/M, score 51.5 Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9 Qwen: Qwen3.6 27B — $0.3/M, score 53.7 inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3 Mistral: Mistral Small 4 — $0.15/M, score 26.6 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5 Qwen: Qwen3.5-9B — $0.1/M, score 28.7 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7 Upstage: Solar Pro 3 — $0.15/M, score 16.2 Z.ai: GLM 4.7 — $0.4/M, score 45.3 Amazon: Nova 2 Lite — $0.3/M, score 23.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Google: Gemma 3n 4B — $0.06/M, score 3.2 Meta: Llama 4 Maverick — $0.2/M, score 16.3 OpenAI: o3 Mini High — $1.1/M, score 16.3 Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9 Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4 Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1 Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9 inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8 IBM: Granite 4.1 8B — $0.05/M, score 9.5 Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2 Qwen: Qwen3 Coder Next — $0.12/M, score 36.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4 Anthropic: Claude Haiku 4.5 — $1/M, score 43.9 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1 Qwen: Qwen3 8B — $0.117/M, score 9.0 Qwen: Qwen3 14B — $0.227/M, score 13.8 Qwen: Qwen3 32B — $0.08/M, score 15.3 Meta: Llama 4 Scout — $0.1/M, score 8.2 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2 Cohere: Command A — $2.5/M, score 27.8 Step 3.7 Flash — $0.185/M, score 39.6 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
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Kenari documentationprovider documentation ↗Eden AI documentationprovider documentation ↗AIHubMix documentationprovider documentation ↗Abacus documentationprovider documentation ↗302.AI documentationprovider documentation ↗Vertex documentationprovider documentation ↗Google documentationprovider documentation ↗Opper documentationprovider documentation ↗Ofox documentationprovider documentation ↗Cloudflare AI Gateway documentationprovider documentation ↗Cortecs 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://model.kyssta.lol/api/v1/models/google/gemini-3.7-flash
curl
curl "https://model.kyssta.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 $0.75 per million tokens from Eden AI, rising to $1.5 across 24 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?

23 providers list this model: Kenari, Eden AI, AIHubMix, Abacus, 302.AI, Vertex and 17 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 Sep 11, 2026.

More models from Google

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Google: Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

1.04858M ctx $0.15/M in Gemini 2.5 Pro TTS

Speech generation model for controllable voice, narration, and audio delivery

32.768K ctx $1/M in Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1.04858M ctx $0.375/M in Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

1.04858M ctx $0.375/M in