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Gemma 4 31B
Google · open weight · gemma-4-31b-it
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.
Benchmark scores
| Benchmark | Score |
|---|---|
| AIME 2026 | 0.89 |
| t2-bench | 0.86 |
| MathVision | 0.86 |
| MMLU-Pro | 0.85 |
| GPQA | 0.84 |
| MMMU-Pro | 0.77 |
| Humanity's Last Exam | 0.27 |
Pricing
- DeepInfra$0.09 / $0.34
- Novita$0.14 / $0.40
- FriendliAI$0.14 / $0.40
- Together$0.39 / $0.97
Input / output per 1M tokens
AA metrics
No Artificial Analysis link yet.
Arena Elo
- No Arena snapshot linked.
