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.
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
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...
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
MiMo pro model for strong multimodal reasoning and agent execution
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...
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....
| 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 | |||
| Tencent: Hy4 previewtencent/hy4-preview | 1.04858M | $0.834 | $2.501 | 2026-08-28 | |||
| DeepSeek: DeepSeek V4 Pro 0813deepseek/deepseek-v4-pro-0813 | 1.024M | $0.579 | $1.738 | 2026-08-12 | |||
| DeepSeek: DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 1.04858M | $0.065 | $0.18 | 2026-07-31 | |||
| Poolside: Laguna S 2.1poolside/laguna-s-2.1 | 1.04858M | $0.09 | $0.18 | 2026-07-21 | |||
| MoonshotAI: Kimi K3moonshotai/kimi-k3 | 1.04858M | $1.616 | $8.105 | 2026-07-16 | |||
| Thinking Machines: Inklingthinkingmachines/inkling | 1.04858M | $1 | $4.05 | 2026-07-15 | |||
| MiMo-V2.5-Pro-UltraSpeedxiaomi/mimo-v2.5-pro-ultraspeed | 1.04858M | $1.305 | $2.61 | 2026-06-08 | |||
| 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 | $0.068 | $0.135 | 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 |