Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows
Open flagship GLM for long-horizon coding agents and million-token context work
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
MiniMax multimodal model for long-context coding, perception, and agent planning
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:...
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Open MiniMax flagship for coding agents, office automation, and complex environments
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
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...
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Strong GLM coding model for agentic engineering, terminals, and repository generation
Late GLM-4 workhorse for coding agents, reasoning, and structured tasks
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Fable 5anthropic/claude-fable-5 | 80.3 | 1M | $10 | $50 | 2026-06-09 | |||
| Qwen3.8 Maxalibaba/qwen3.8-max | 67.7 | 1M | $2 | $6 | 2026-08-03 | |||
| GLM-5.2zhipuai/glm-5.2 | 62.1 | 1M | $1.195 | $4.183 | 2026-06-13 | |||
| Qwen3.7 Maxalibaba/qwen3.7-max | 60.6 | 1M | $2.5 | $7.5 | 2026-05-21 | |||
| MiniMax-M3minimax/MiniMax-M3 | 59.0 | 1.04858M | $0.3 | $1.2 | 2026-06-01 | |||
| Tencent: Hy3tencent/hy3 | 57.9 | 262.144K | $0.132 | $0.528 | 2026-07-06 | |||
| Xiaomi: MiMo-V2.5-Proxiaomi/mimo-v2.5-pro | 57.2 | 1.05M | $0.304 | $0.609 | 2026-04-22 | |||
| StepFun: Step 3.7 Flashstepfun/step-3.7-flash | 56.3 | 256K | $0.2 | $1.15 | 2026-05-29 | |||
| MiniMax-M2.7minimax/MiniMax-M2.7 | 56.2 | 204.8K | $0.3 | $1.2 | 2026-03-18 | |||
| Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5 | 56.1 | 1.05M | $0.119 | $0.238 | 2026-04-22 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 55.4 | 1.024M | $0.209 | $0.418 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 52.6 | 1.04858M | $0.091 | $0.182 | 2026-04-24 | |||
| MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | 27.3 | 262.144K | $0.65 | $3.41 | 2026-04-20 | |||
| GLM-5.1zhipuai/glm-5.1 | 19.8 | 200K | $0.896 | $3.585 | 2026-04-07 | |||
| GLM-4.6zhipuai/glm-4.6 | 9.7 | 204.8K | $0.6 | $2.2 | 2025-09-30 |