tokenstat
tokenstat

Google: Gemini 3.7 Flash

gemini/gemini-3.7-flash · rates as of · list price from ai.google.dev · How this catalog is built · Benchmarks

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

List input
$0.75
$/MTok · Google
List output
$3.75
$/MTok
Context
1.0M
tokens
Sources
4
41 listings

Price changes

Cheapest list input/output only. Rates move rarely, so this is an event log. Down means cheaper. Showing the 8 latest changes.

Input $/MTok over sampled dates
Output $/MTok
  • ↓ lowerOutput $1.88 → $1.71
  • ↓ lowerInput $0.375 → $0.3429
  • ↑ higherOutput $0.9375 → $1.88
  • ↑ higherInput $0.1875 → $0.375
  • ↓ lowerOutput $3.75 → $0.9375
  • ↓ lowerInput $0.75 → $0.1875

Sources

Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number.

SourceProviderInputOutputCache readContext
tokenstatgoogle/gemini-3.7-flashGoogle$0.75$3.75$0.0751.0M
models.devcheapestgemini-3-7-flashKenari$0.3429$1.71$0.03431.0M
OpenRoutergoogle/gemini-3.7-flash:batchOpenRouter$0.375$1.88$0.03751.0M
LiteLLMdatabricks-gemini-3-7-flashN/A$0.75$3.75$0.075N/A
LiteLLMdatabricks/databricks-gemini-3-7-flashN/A$0.75$3.75$0.075N/A
models.devgoogle/gemini-3.7-flashAI/ML API$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashCloudflare$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashGoogle$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashKilo Gateway$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashMerge Gateway$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashNanoGPT$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashOfox$0.75$3.75$0.0751.0M
OpenRoutergoogle/gemini-3.7-flashOpenRouter$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashPerplexity$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashTempr Gateway$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.7-flashVercel AI Gateway$0.75$3.75$0.0751M
models.devgemini-3.7-flash302.AI$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashAbacus$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashAIHubMix$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashCortecs$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashGitHub Copilot$0.75$3.75$0.0751M
models.devgemini-3.7-flashGoogle Vertex AI$0.75$3.75$0.0751.0M
models.devgoogle-vertex/gemini-3.7-flashLLM Gateway$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashDevPass (LLM Gateway)$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashOpper$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashRequesty$0.75$3.75$0.0751.0M
models.devgemini-3.7-flashVivgrid$0.75$3.75$0.0751.0M
models.devgemini/gemini-3.7-flashCrossModel$0.75$3.75$0.0751.0M
LiteLLMgemini-3.7-flashN/A$0.75$3.75$0.075N/A
LiteLLMgemini/gemini-3.7-flashN/A$0.75$3.75$0.075N/A
LiteLLMdeepinfra/google/gemini-3.7-flashN/A$0.75$3.75$0.075N/A
LiteLLMperplexity/google/gemini-3.7-flashN/A$0.75$3.75$0.075N/A
LiteLLMvertex_ai/gemini-3.7-flashN/A$0.75$3.75$0.075N/A
models.devgoogle/gemini-3.7-flashPoe$0.7576$3.79$0.07581.0M
models.devgemini-3-7-flashVenice AI$0.9375$4.69$0.09381M
models.devgoogle/gemini-3.7-flashPrime Inference$1.35$6.75$01.0M
models.devgoogle/gemini-3.7-flashCommandCode$1.50$7.50$0.151.0M
models.devgoogle/gemini-3.7-flashEden AI$1.50$7.50$0.151.0M
models.devgemini-3-7-flashNeon$1.50$7.50$0.151.0M
models.devgemini-3.7-flashOpenCode$1.50$7.50$0.151.0M
LiteLLMkyma/gemini-3.7-flashN/A$2.03$10.13$0.1013N/A

Capabilities

  • Reasoning
  • Tool calling
  • Structured output
  • Attachments
  • In: text
  • In: image
  • In: video
  • In: audio
  • In: pdf
  • In: file
  • Out: text
Knowledge cutoff: 2026-03Released: 2026-08-13Output limit: 66K tokensFamily: gemini-flash

Scores

Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Hover or tap the i next to any score for its source. Full boards on /benchmarks.

Arena rows are community-vote Elo from Arena AI, Artificial Analysis indices arrive via OpenRouter, and launch-eval figures are collected from vendor announcements, analyst writeups, and community benchmarks. Full boards and credits on /benchmarks.

See what this model costs you

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