Last updated: Oct 14, 2026 59 sources 20 endpoints monitored

gemma-4-31b-it

1451 Score third-party Elo · arena.ai / LMArena ?

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

LLM & Generative AI 1 model 5 listings snapshot Oct 14, 2026, 12:54 AM

Platforms

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Model variants

W3r9 dedup — same model + identical tags merge; prices are listed per billing form
Model Provider Tags Input /1M Output /1M
google/gemma-4-31b-it OpenRouter 31b256k contextmultimodalreasoning $0.090 $0.340
google/gemma-4-31b-it:free :free OpenRouter 31b256k contextmultimodalreasoning $0 $0
google/gemma-4-31B-it DeepInfra 31b256k contextmultimodalreasoning $0.200 $0.400
google/gemma-4-31B-it Together 31b256k context $0.390 $0.970
google/gemma-4-31b-it Novita 31b $0.140 $0.400

Capabilities

official design_arena & architecture metadata

Design Arena Elo official design_arena benchmark (OpenRouter)

No official Design Arena benchmark from this provider. Showing official architecture metadata only.

Input / Output modalities modality: text+image+video->text

  • text in+out
  • image input only
  • video input only

Platform details

per provider
provider model Input /1M Output /1M Latency ? Official $/1M Availability Data time
DeepInfra google/gemma-4-31B-it-Ultra $0.270 $0.760 — — — 2026-10-14 00:43:44
Novita google/gemma-4-31b-it $0.140 $0.400 — — — 2026-10-14 00:54:15
OpenRouter google/gemma-4-31b-it $0.090 $0.340 128.1 ms — 100% available 2026-10-14 00:43:21
Together google/gemma-4-31B-it $0.390 $0.970 — — — 2026-10-14 00:53:13

4 rows · snapshot 2026-10-14 00:54:15 · from data/public/prices.json + measurements.json