tokenstat
tokenstat

Google: Gemini 3.6 Flash

gemini/gemini-3.6-flash · rates as of · list price from ai.google.dev · How this catalog is built · Benchmarks

Fast Gemini model balancing multimodal reasoning, tool use, and cost

List input
$1.50
$/MTok · Google
List output
$7.50
$/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
  • ↓ lowerOutput $3.75 → $1.88
  • ↓ lowerInput $0.75 → $0.375
  • ↓ lowerOutput $7.50 → $3.75
  • ↓ lowerInput $1.50 → $0.75

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-3.6-flashGoogle$1.50$7.50$0.151.0M
models.devcheapestgemini-3-6-flashKenari$0.3429$1.71$0.03431.0M
models.devgoogle/gemini-3.6-flashKilo Gateway$0.375$1.88$0.03751.0M
OpenRoutergoogle/gemini-3.6-flash:batchOpenRouter$0.375$1.88$0.03751.0M
LiteLLMdatabricks-gemini-3-6-flashN/A$0.75$3.75$0.075N/A
LiteLLMdatabricks/databricks-gemini-3-6-flashN/A$0.75$3.75$0.075N/A
models.devgoogle/gemini-3.6-flashEden AI$0.75$3.75$0.0751.0M
models.devgemini-3.6-flashGoogle$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashImpossibl$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashNanoGPT$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashOfox$0.75$3.75$0.0751.0M
OpenRoutergoogle/gemini-3.6-flashOpenRouter$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashOrcaRouter$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashTempr Gateway$0.75$3.75$0.0751.0M
models.devgoogle/gemini-3.6-flashVercel AI Gateway$0.75$3.75$0.0751M
models.devgemini-3.6-flashAbacus$0.75$3.75$0.0751.0M
models.devgemini-3.6-flashAIHubMix$0.75$3.75$0.0751.0M
models.devgemini-3.6-flashCortecs$0.75$3.75$0.0751.0M
models.devgemini-3.6-flashGitHub Copilot$0.75$3.75$0.0751M
models.devgemini-3.6-flashGoogle Vertex AI$0.75$3.75$0.0751.0M
models.devgoogle-ai-studio/gemini-3.6-flashLLM Gateway$0.75$3.75$0.0751.0M
models.devgemini-3.6-flashDevPass (LLM Gateway)$0.75$3.75$0.0751.0M
models.devgemini/gemini-3.6-flashCrossModel$0.75$3.75$0.0751.0M
LiteLLMgemini/gemini-3.6-flashN/A$0.75$3.75$0.075N/A
LiteLLMvertex_ai/gemini-3.6-flashN/A$0.75$3.75$0.075N/A
models.devgoogle/gemini-3.6-flashPoe$0.7576$3.79$0.07581.0M
models.devgemini-3-6-flashVenice AI$0.9375$4.69$0.09381M
LiteLLMkyma/gemini-3.6-flashN/A$1.01$5.06$0.1013N/A
models.devgemini-3.6-flashRequesty$1.50$7$0.151.0M
models.devgoogle/gemini-3.6-flashAI/ML API$1.50$7.50$0.151.0M
models.devgoogle/gemini-3.6-flashCloudflare$1.50$7.50$0.151.0M
models.devgoogle/gemini-3.6-flashCommandCode$1.50$7.50$0.151M
models.devgoogle/gemini-3.6-flashMerge Gateway$1.50$7.50$0.151.0M
models.devgoogle/gemini-3.6-flashPerplexity$1.50$7.50$0.151.0M
models.devgoogle/gemini-3.6-flashPrime Inference$1.50$7.50$01.0M
models.devgemini-3.6-flash302.AI$1.50$7.50$0.151.0M
models.devgemini-3-6-flashNeon$1.50$7.50$0.151.0M
models.devgemini-3.6-flashOpenCode$1.50$7.50$0.151.0M
LiteLLMgoogle/gemini-3.6-flashN/A$1.50$7.50$0.15N/A
LiteLLMgemini-3.6-flashN/A$1.50$7.50$0.15N/A
LiteLLMperplexity/google/gemini-3.6-flashN/A$1.50$7.50$0.15N/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: 2026-07-21Output 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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