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Google: Gemini 3.5 Flash

gemini/gemini-3.5-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
$9
$/MTok
Context
1.0M
tokens
Sources
4
48 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 $9 → $1.11
  • ↓ lowerInput $1.50 → $0.1857

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
tokenstatgemini/gemini-3.5-flashGoogle$1.50$9$0.151.0M
models.devcheapestgemini-3.5-flashUnoRouter$0.1857$1.11$01.0M
models.devgemini-3.5-flashAIHubMix$0.75$3.75$0.0751M
models.devgoogle/gemini-3.5-flashKilo Gateway$0.75$4.50$0.0751.0M
OpenRoutergoogle/gemini-3.5-flash:batchOpenRouter$0.75$4.50$0.0751.0M
models.devgoogle/gemini-3.5-flashCloudflare$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashCommandCode$1.50$9$0.151M
models.devgoogle/gemini-3.5-flashEden AI$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashFastRouter$1.50$9$0.151.0M
models.devgemini-3.5-flashGoogle$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashImpossibl$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashMerge Gateway$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashNanoGPT$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashNEAR AI Cloud$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashOfox$1.50$9$0.151.0M
OpenRoutergoogle/gemini-3.5-flashOpenRouter$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashOrcaRouter$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashPrime Inference$1.50$9$01.0M
models.devgoogle/gemini-3.5-flashTempr Gateway$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flashVercel AI Gateway$1.50$9$0.151M
models.devgoogle/gemini-3.5-flashZenMux$1.50$9$0.151.0M
models.devgemini-3.5-flash302.AI$1.50$9$01.0M
models.devgemini-3.5-flashAbacus$1.50$9$0.151.0M
models.devgemini-3.5-flashGitHub Copilot$1.50$9$0.15200K
models.devgemini-3.5-flashGoogle Vertex AI$1.50$9$0.151.0M
models.devgoogle-vertex/gemini-3.5-flashLLM Gateway$1.50$9$0.151.0M
models.devgemini-3.5-flashDevPass (LLM Gateway)$1.50$9$0.151.0M
models.devgemini-3-5-flashNeon$1.50$9$0.151.0M
models.devgemini-3.5-flashOpenCode$1.50$9$0.151.0M
models.devgemini-3.5-flashOpper$1.50$9$0.151.0M
models.devgemini-3.5-flashRequesty$1.50$9$0.151.0M
models.devgemini-3.5-flashSAP AI Core$1.50$9$0.151.0M
models.devgemini-3.5-flash-thinking302.AI$1.50$9$01.0M
models.devgemini/gemini-3.5-flashCrossModel$1.50$9$0.151.0M
models.devdatabricks-gemini-3-5-flashDatabricks$1.50$9$0.151.0M
models.devgoogle/gemini-3.5-flash-thinkingNanoGPT$1.50$9$0.151.0M
LiteLLMgemini-3.5-flashN/A$1.50$9$0.15N/A
LiteLLMgemini/gemini-3.5-flashN/A$1.50$9$0.15N/A
LiteLLMdeepinfra/google/gemini-3.5-flashN/A$1.50$9$0.15N/A
LiteLLMperplexity/google/gemini-3.5-flashN/A$1.50$9$0.15N/A
LiteLLMvertex_ai/gemini-3.5-flashN/A$1.50$9$0.15N/A
models.devgoogle/gemini-3.5-flashPoe$1.52$9.09$0.15151.0M
models.devgemini-3-5-flashVenice AI$1.55$9.45$0.1551M
models.devgemini-3.5-flashXpersona$1.55$12.20$0.1551M
models.devgemini-3.5-flashCortecs$1.65$9.90$0.1651.0M
LiteLLMdatabricks-gemini-3-5-flashN/A$1.88$11.25$0.1875N/A
LiteLLMdatabricks/databricks-gemini-3-5-flashN/A$1.88$11.25$0.1875N/A
LiteLLMkyma/gemini-3.5-flashN/A$2.02$12.15$0.2025N/A

Capabilities

  • Reasoning
  • Tool calling
  • Structured output
  • Attachments
  • In: text
  • In: image
  • In: video
  • In: audio
  • In: pdf
  • In: file
  • Out: text
Knowledge cutoff: 2025-01Released: 2026-05-19Output 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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