Google: Gemma 4 31B
google/gemma-4-31b-it
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- google/gemma-4-31b-it
- Canonical ID
- google/gemma-4-31b-it-20260402
- Creator
- Added to OpenRouter
- 02.04.2026
- Context length
- 262,144
- Modality
- text+image+video->text
- Input modalities
- image, text, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.200 / out $0.400
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | CC — below the B band | reasoning: optional · parameters: include_reasoning, reasoning |
| Coding | BB — next 30% of the cohort | — |
| Agents | CC — below the B band | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 4.4 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Coding index | 43.4 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 4.2 | CC — below the B band | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| KT | 262,144 | $0.100 | $0.340 | — | — | 100% |
| CoreWeavefp4 | 262,144 | $0.100 | $0.340 | — | — | 100% |
| Venicefp4 | 256,000 | $0.120 | $0.360 | — | — | 100% |
| Chutesfp4 | 131,072 | $0.120 | $0.370 | — | — | 100% |
| DeepInfrafp4 | 262,144 | $0.135 | $0.510 | — | — | 100% |
| DekaLLM | 262,144 | $0.140 | $0.400 | — | — | 100% |
| Crusoebf16 | 262,144 | $0.140 | $0.400 | — | — | 100% |
| Friendli | 262,144 | $0.140 | $0.400 | — | — | 100% |
| Novitabf16 | 262,144 | $0.140 | $0.400 | — | — | 100% |
| NextBitfp4 | 262,144 | $0.150 | $0.400 | — | — | 100% |
| Parasailfp8 | 262,144 | $0.150 | $0.400 | — | — | 100% |
| DeepInfrafp8 | 262,144 | $0.160 | $0.320 | — | — | 100% |
| PrimeIntellectfp4 | 262,144 | $0.200 | $0.335 | — | — | 100% |
| DeepInfrafp8 | 262,144 | $0.200 | $0.400 | — | — | 100% |
| DeepInfrafp8 | 262,144 | $0.300 | $0.600 | — | — | 100% |
| Modal | 131,072 | $0.340 | $0.100 | — | — | 100% |
| SambaNova | 131,072 | $0.380 | $1.15 | — | — | 66.67% |
| SiliconFlowfp8 | 262,144 | $0.750 | $1 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.