Dense 27B vision-language model for coding, agent tasks, and image and video understanding
27 providers
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Qwen vision-language model for visual reasoning, documents, and agent tasks
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen3.8 27Balibaba/qwen3.8-27b | 262.144K | $0.1 | $0.4 | 2026-08-14 | |||
| Qwen3.6 27Balibaba/qwen3.6-27b | 262.144K | $0.6 | $3.6 | 2026-04-22 | |||
| Google: Gemma 4 31Bgoogle/gemma-4-31b-it | 262.144K | $0.09 | $0.34 | 2026-04-02 |