DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Flagship GLM model for long-horizon coding, agents, and complex project delivery
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows
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...
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...
Multimodal Qwen workhorse for long-context agents, visual inputs, and coding
MiniMax multimodal model for long-context coding, perception, and agent planning
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
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...
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,...
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...
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....
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash | 1.04858M | $0.15 | $0.6 | 2026-09-10 | |||
| GLM-5.3zhipuai/glm-5.3 | 1M | $1.4 | $4.4 | 2026-08-14 | |||
| Qwen3.8 Maxalibaba/qwen3.8-max | 1M | $2 | $6 | 2026-08-03 | |||
| MoonshotAI: Kimi K3moonshotai/kimi-k3 | 1.04858M | $2.303 | $11.55 | 2026-07-16 | |||
| 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 | |||
| Qwen3.7 Plusalibaba/qwen3.7-plus | 1M | $0.5 | $3 | 2026-06-02 | |||
| MiniMax-M3minimax/MiniMax-M3 | 1.04858M | $0.3 | $1.2 | 2026-06-01 | |||
| Qwen3.7 Maxalibaba/qwen3.7-max | 1M | $2.5 | $7.5 | 2026-05-21 | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 1.024M | $0.067 | $0.134 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 1.024M | $0.779 | $1.558 | 2026-04-24 | |||
| Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5 | 1.04858M | $0.14 | $0.28 | 2026-04-22 | |||
| Xiaomi: MiMo-V2.5-Proxiaomi/mimo-v2.5-pro | 1.04858M | $0.435 | $0.87 | 2026-04-22 | |||
| MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | 262.144K | $0.95 | $4 | 2026-04-21 |