Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
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...
Qwen instruction model for multilingual chat, reasoning, and tool use
Large open Qwen multimodal MoE for visual agents and long technical tasks
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen3.8 27Balibaba/qwen3.8-27b | 262.144K | $0.1 | $0.4 | 2026-08-14 | |||
| MoonshotAI: Kimi K3moonshotai/kimi-k3 | 1.04858M | $2.303 | $11.55 | 2026-07-16 | |||
| 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 | |||
| Qwen3.5 9Balibaba/qwen3.5-9b | 262.144K | $0.04 | $0.15 | 2026-02-23 | |||
| Qwen3.5 397B-A17Balibaba/qwen3.5-397b-a17b | 262.144K | $0.6 | $3.6 | 2026-02-15 |