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Google: Gemma 4 31B

gemini/gemma-4-31b-it · rates as of · How this catalog is built · Benchmarks

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Cheapest input
$0.1
$/MTok · models.dev
Cheapest output
$0.25
$/MTok
Context
262K
tokens
Sources
3
47 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 $0.34 → $0.25
  • ↑ higherInput $0.09 → $0.1
  • ↑ higherOutput $0.3 → $0.34
  • ↑ higherInput $0.08 → $0.09
  • ↓ lowerOutput $0.34 → $0.3
  • ↓ lowerInput $0.09 → $0.08

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. Free/$0 listings are hidden by default (8 omitted). Show free/$0 listings.

SourceProviderInputOutputCache readContext
models.devcheapestgemma-4-31b-itDevPass (LLM Gateway)$0.1$0.25$0.01262K
models.devconsensusprotocol/gemma-4-31b-itLLM Gateway$0.1$0.25$0.01262K
models.devgoogle/gemma-4-31b-itFastRouter$0.1$0.3$0262K
models.devgoogle/gemma-4-31b-itKilo Gateway$0.1$0.34$0.1262K
models.devgoogle/gemma-4-31B-itCoreWeave$0.1$0.34$0.1262K
models.devgoogle/gemma-4-31b-it:thinkingNanoGPT$0.1$0.34$0.1262K
models.devrunware/gemma-4-31b-itLLM Gateway$0.102$0.297$0.012262K
models.devgemma-4-31b-itKenari$0.1029$0.4057$0.0411262K
models.devgoogle/gemma-4-31b-itLilac$0.11$0.35$0262K
models.devgoogle-gemma-4-31b-itVenice AI$0.12$0.36$0.09256K
models.devgoogle/gemma-4-31b-itOrcaRouter$0.13$0.38$0.02262K
LiteLLMdeepinfra/google/gemma-4-31B-itN/A$0.13$0.38$0.013N/A
models.devgoogle/gemma-4-31b-itAbacus$0.14$0.4$0262K
models.devgoogle/gemma-4-31b-itCrusoe$0.14$0.4$0.14262K
models.devgoogle/gemma-4-31B-itFriendli$0.14$0.4$0262K
models.devgoogle/gemma-4-31B-itHugging Face$0.14$0.4$0262K
models.devgoogle/gemma-4-31b-itMerge Gateway$0.14$0.4$0262K
models.devgoogle/gemma-4-31b-itNanoGPT$0.14$0.4$0.05262K
models.devgoogle/gemma-4-31b-itNovita AI$0.14$0.4$0262K
models.devgoogle/gemma-4-31b-itVercel AI Gateway$0.14$0.4$0262K
models.devnovita/gemma-4-31b-itLLM Gateway$0.14$0.4$0262K
LiteLLMaihubmix/gemma-4-31b-itN/A$0.14$0.4$0.014N/A
LiteLLMgoogle/gemma-4-31b-itN/A$0.14$0.4$0.014N/A
LiteLLMfriendliai/google/gemma-4-31B-itN/A$0.14$0.4$0.014N/A
LiteLLMnovita/google/gemma-4-31b-itN/A$0.14$0.4$0.014N/A
LiteLLMtensormesh/google/gemma-4-31B-itN/A$0.14$0.56$0N/A
models.devTEE/gemma-4-31b-itNanoGPT$0.15$0.46$0.075262K
LiteLLMgemma-4-31b-it-thinkingN/A$0.15$0.4$0.015N/A
LiteLLMlibertai/gemma-4-31b-itN/A$0.15$0.4$0.015N/A
LiteLLMlibertai/gemma-4-31b-it-thinkingN/A$0.15$0.4$0.015N/A
models.devgemma-4-31B-itDigitalOcean$0.18$0.5$0.036256K
models.devgoogle/gemma-4-31B-itDeepInfra$0.2$0.4$0262K
models.devdeepinfra/gemma-4-31b-itLLM Gateway$0.2$0.4$0262K
OpenRoutergoogle/gemma-4-31b-itOpenRouter$0.2$0.4$0262K
models.devgoogle/gemma-4-31b-itAi&$0.2$0.5$0.05262K
models.devgemma-4-31b-itCortecs$0.223$0.39$0262K
models.devgoogle/gemma-4-31B-itInfomaniak$0.25$0.5$0100K
models.devgoogle/gemma-4-31b-itModular$0.25$0.65$0.08262K
models.devgoogle/gemma-4-31B-itBerget.AI$0.2804$0.5607$0128K
models.devgemma-4-31B-itSambaNova$0.38$1.15$0.038131K
LiteLLMtogether_ai/google/gemma-4-31B-itN/A$0.39$0.97$0.039N/A
LiteLLMgoogle/gemma-4-31B-itN/A$0.4$0.6$0.2N/A
LiteLLMgemma-4-31B-itN/A$0.4$0.6$0.2N/A
LiteLLMsail/google/gemma-4-31B-itN/A$0.4$0.6$0.2N/A
models.devgemma-4-31b-itOpper$0.4649$2.44$0256K
models.devgoogle/gemma-4-31B-itSiliconFlow$0.75$1$0.25262K
models.devgoogle/gemma-4-31b-itAI/ML API$1.05$1.58$1.05256K

Capabilities

  • Reasoning
  • Tool calling
  • Structured output
  • Attachments
  • Open weights
  • In: text
  • In: image
  • In: video
  • In: pdf
  • In: audio
  • Out: text
Knowledge cutoff: 2025-01Released: 2026-04-02Output limit: 33K tokensFamily: gemma

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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