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.
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....
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...
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...
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 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 K2.5 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...
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,...
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...
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| MoonshotAI: Kimi K3moonshotai/kimi-k3 | 1336.0 | 1.04858M | $2.303 | $11.55 | 2026-07-16 | |||
| Xiaomi: MiMo-V2.5-Proxiaomi/mimo-v2.5-pro | 1212.0 | 1.04858M | $0.435 | $0.87 | 2026-04-22 | |||
| MoonshotAI: Kimi K2.7 Codemoonshotai/kimi-k2.7-code | 1208.0 | 262.144K | $0.71 | $3.5 | 2026-06-12 | |||
| MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | 1207.0 | 262.144K | $0.95 | $4 | 2026-04-21 | |||
| Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5 | 1200.0 | 1.04858M | $0.14 | $0.28 | 2026-04-22 | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 1181.0 | 1.024M | $0.067 | $0.134 | 2026-04-24 | |||
| MoonshotAI: Kimi K2.5moonshotai/kimi-k2.5 | 1175.0 | 262.144K | $0.45 | $2.25 | 2026-01 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 1166.0 | 1.024M | $0.809 | $1.619 | 2026-04-24 | |||
| StepFun: Step 3.7 Flashstepfun/step-3.7-flash | 1098.0 | 256K | $0.2 | $1.15 | 2026-05-29 | |||
| DeepSeek: DeepSeek V3.2deepseek/deepseek-v3.2 | 1058.0 | 163.84K | $0.269 | $0.4 | 2025-12-01 | |||
| DeepSeek: DeepSeek V3deepseek/deepseek-chat | 1002.0 | 128K | $0.257 | $1.029 | 2025-12-01 |