Google model product
Gemma 4 31B is Google DeepMind's flagship dense multimodal model with 31 billion parameters and a 256K context window.
Updated Aug 12, 2026. Default version: Gemma 4 31B
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Gemma 4 31B.
| BIG-Bench Extra Hard | 74.4% | 01 | 11 | 100.0% | C | |
| MedXpertQA | 61.3% | 05 | 12 | 63.6% | C | |
| MRCR v2 (8-needle) | 66.4% | 05 | 21 | 80.0% | C | |
| t2-bench | 86.4% | 05 | 23 | 81.8% | C | |
| MathVision | 85.6% | 09 | 32 | 74.2% | C | |
| AIME 2026 | 89.2% | 12 | 18 | 35.3% | C | |
| MMLU-Pro | 85.2% | 15 | 129 | 89.1% | C | |
| MMMLU | 88.4% | 18 | 49 | 64.6% | C | |
| LiveCodeBench v6 | 80.0% | 21 | 53 | 61.5% | C | |
| MMMU-Pro | 76.9% | 24 | 66 | 64.6% | C | |
| Humanity's Last Exam | 26.5% | 47 | 93 | 50.0% | C | |
| GPQA | 84.3% | 59 | 234 | 75.1% | C |
Preference and agent-evaluation results for the default version.
| agent praise complaint | overall | 28 | -0.0 | N/A | 10.6K | |
| document style control | overall | 28 | 1445.2 | 10,577 | N/A | |
| agent task outcome explicit | overall | 29 | -0.0 | N/A | 34.8K | |
| document | overall | 29 | 1423.7 | 10,577 | N/A | |
| vision | overall | 31 | 1270.1 | 32,461 | N/A | |
| vision style control | overall | 35 | 1255.7 | 32,461 | N/A | |
| agent steerability | overall | 40 | -0.1 | N/A | 42.8K | |
| agent | overall | 46 | -0.2 | N/A | 707.6K | |
| agent bash recovery steps | overall | 46 | -0.4 | N/A | 27.1K | |
| agent tool hallucination | overall | 46 | -0.3 | N/A | 592.3K | |
| text factuality | overall | 53 | 1449.0 | 5,898 | N/A | |
| text | overall | 56 | 1441.5 | 5,901 | N/A | |
| text style control | overall | 58 | 1451.2 | 5,901 | N/A | |
| webdev | overall | 73 | 1365.6 | 8,349 | N/A |
Provider-specific output speed and catalog latency for Gemma 4 31B. Runtime does not affect the capability score.
| FriendliAI | 20.155 tok/s | 1.717 s | 262.1K | 131.1K | |
| Novita | 1.346 tok/s | 2.027 s | 262.1K | 131.1K | |
| DeepInfra | 0.94 tok/s | 37.139 s | 262.1K | 131.1K | |
| Together | 0.852 tok/s | N/A | 262.1K | 131.1K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Poe | google/gemma-4-31b | global | N/A | N/A | 262.1K | |
| Nvidia | google/gemma-4-31b-it | global | N/A | N/A | 256K | |
| Kenari | gemma-4-31b-it | global | N/A | N/A | 262.1K | |
| Kilo Gateway | google/gemma-4-31b-it | global | $0.08 | $0.35 | 262.1K | |
| Weights & Biases | google/gemma-4-31B-it | global | $0.10 | $0.34 | 262.1K | |
| NanoGPT | google/gemma-4-31b-it | global | $0.10 | $0.35 | 262.1K | |
| CrofAI | gemma-4-31b-it | global | $0.10 | $0.30 | 262.1K | |
| OpenRouter | google/gemma-4-31b-it | global | $0.10 | $0.34 | 262.1K | |
| LLM Gateway | gemma-4-31b-it | global | $0.102 | $0.297 | 262.1K | |
| Lilac | google/gemma-4-31b-it | global | $0.11 | $0.35 | 262.1K | |
| FastRouter | google/gemma-4-31b-it | global | $0.13 | $0.38 | 262.1K | |
| NEAR AI Cloud | google/gemma-4-31B-it | global | $0.13 | $0.40 | 262.1K | |
| SiliconFlow | google/gemma-4-31B-it | global | $0.13 | $0.40 | 262.1K | |
| OrcaRouter | google/gemma-4-31b-it | global | $0.13 | $0.38 | 262.1K | |
| Deep Infra | google/gemma-4-31B-it | global | $0.13 | $0.38 | 262.1K | |
| Friendli | google/gemma-4-31B-it | global | $0.14 | $0.40 | 262.1K | |
| Abacus | google/gemma-4-31b-it | global | $0.14 | $0.40 | 262.1K | |
| Merge Gateway | google/gemma-4-31b-it | global | $0.14 | $0.40 | 262.1K | |
| Vercel AI Gateway | google/gemma-4-31b-it | global | $0.14 | $0.40 | 256K | |
| NovitaAI | google/gemma-4-31b-it | global | $0.14 | $0.40 | 262.1K | |
| Hugging Face | google/gemma-4-31B-it | global | $0.14 | $0.40 | 262.1K | |
| Neuralwatt | gemma-4-31b | global | $0.144 | $0.42 | 262.1K | |
| DigitalOcean | gemma-4-31B-it | global | $0.18 | $0.50 | 256K | |
| ai& | google/gemma-4-31b-it | global | $0.20 | $0.50 | 262.1K | |
| Cortecs | gemma-4-31b-it | global | $0.223 | $0.39 | 262K | |
| Infomaniak | google/gemma-4-31B-it | global | $0.25 | $0.50 | 100K | |
| Berget.AI | google/gemma-4-31B-it | global | $0.275 | $0.55 | 128K | |
| Together AI | google/gemma-4-31B-it | global | $0.39 | $0.97 | 262.1K | |
| NanoGPT | TEE/gemma4-31b | global | $0.45 | $1 | 262.1K | |
| Pioneer | google/gemma-4-31B-it | global | $0.50 | $0.50 | 32.8K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Gemma 4 31B | 60.1 | 30.7B | 262.1K | 32.8K | Yes | Apache 2.0 |
Key information about Gemma 4 31B and its available data.
Gemma 4 31B is Google DeepMind's flagship dense multimodal model with 31 billion parameters and a 256K context window. Ranks #3 among open models on Arena AI.
Built from the same research as Gemini 3, it features Per-Layer Embeddings, Shared KV Cache, alternating sliding-window and global attention, and variable aspect ratio vision encoding. Achieves an estimated LMArena text score of 1452.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about Gemma 4 31B.
Gemma 4 31B's default version was released on Apr 2, 2026.
No official standard PAYG price is currently available for Gemma 4 31B. The lowest tracked third-party offer starts at $0.08 input and $0.35 output via Kilo Gateway.
Gemma 4 31B was created by Google.
The default version has a 262.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
32 provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen3.6 27B, GPT-5.4-mini, Step 3.5 Flash.