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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Open flagship GLM for long-horizon coding agents and million-token context work
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
MiniMax multimodal model for long-context coding, perception, and agent planning
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Strong GLM coding model for agentic engineering, terminals, and repository generation
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Large open Qwen multimodal MoE for visual agents and long technical tasks
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
Qwen vision-language instruct model for visual reasoning, documents, and agent tasks
Qwen vision-language thinking model for visual reasoning, documents, and agent tasks
Qwen instruction model for multilingual chat, reasoning, and tool use
Efficient Qwen thinking model for local reasoning, math, and coding agents
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| MoonshotAI: Kimi K3moonshotai/kimi-k3 | 1.04858M | $2.303 | $11.55 | 2026-07-16 | |||
| Tencent: Hy3tencent/hy3 | 262.144K | $0.132 | $0.528 | 2026-07-06 | |||
| GLM-5.2zhipuai/glm-5.2 | 1M | $1.4 | $4.4 | 2026-06-13 | |||
| MoonshotAI: Kimi K2.7 Codemoonshotai/kimi-k2.7-code | 262.144K | $0.71 | $3.5 | 2026-06-12 | |||
| MiniMax-M3minimax/MiniMax-M3 | 1.04858M | $0.3 | $1.2 | 2026-06-01 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 1.024M | $0.85 | $1.7 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 1.024M | $0.067 | $0.135 | 2026-04-24 | |||
| GLM-5.1zhipuai/glm-5.1 | 200K | $1.4 | $4.4 | 2026-04-07 | |||
| Qwen3.5 27Balibaba/qwen3.5-27b | 262.144K | $0.3 | $2.4 | 2026-02-23 | |||
| Qwen3.5 35B-A3Balibaba/qwen3.5-35b-a3b | 262.144K | $0.25 | $2 | 2026-02-23 | |||
| Qwen3.5 122B-A10Balibaba/qwen3.5-122b-a10b | 262.144K | $0.4 | $3.2 | 2026-02-23 | |||
| Qwen3.5 397B-A17Balibaba/qwen3.5-397b-a17b | 262.144K | $0.6 | $3.6 | 2026-02-15 | |||
| MoonshotAI: Kimi K2.5moonshotai/kimi-k2.5 | 262.144K | $0.45 | $2.25 | 2026-01 | |||
| Qwen3 VL 235B A22B Instructalibaba/qwen3-vl-235b-a22b-instruct | 131.072K | $0.2 | $0.88 | 2025-09-23 | |||
| Qwen3 VL 235B A22B Thinkingalibaba/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | 2025-09-23 | |||
| Qwen3-Next 80B-A3B Instructalibaba/qwen3-next-80b-a3b-instruct | 131.072K | $0.5 | $2 | 2025-09 | |||
| Qwen3-Next 80B-A3B (Thinking)alibaba/qwen3-next-80b-a3b-thinking | 131.072K | $0.5 | $6 | 2025-09 |