deepseekReleased Sep 10
DeepSeek: DeepSeek V4.1 Flash
Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.
1M contextImage inputTool calling
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zai-orgReleased Aug 26
GLM-5.3-Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…
1M contextImage inputVideo input
zai-orgReleased Aug 18
GLM-5.3
Reuses the GLM-5.2 base with new post-training; exposes low, high and max reasoning effort, defaulting to max.
1M contextTool callingStructured output
dots-studioListed Aug 14
Dots Studio: Dots3-Note Preview (free)
Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...
512K contextImage inputTool callingNo reported score
No reported score
deepseek-aiListed Aug 12
DeepSeek-V4-Pro-0813
DeepSeek-V4-Pro-0813 is the official release of DeepSeek-V4-Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in…
1M contextTool callingStructured outputNo reported score
No reported score
deepseek-aiListed Jul 31
DeepSeek-V4-Flash-0731
DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro…
1M contextTool callingStructured outputNo reported score
No reported score
meituanListed Jul 20
Meituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and…
1M contextTool callingReasoningNo reported score
No reported score
tencentListed Jul 2
Tencent: Hy3
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…
262.1K contextTool callingStructured outputNo reported score
No reported score
zai-orgListed Jun 16
GLM-5.2
GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…
1M contextTool callingStructured outputNo reported score
No reported score
minimaxListed May 31
MiniMax: MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
1M contextImage inputVideo inputNo reported score
No reported score
xiaomiListed Apr 22
Xiaomi: MiMo-V2.5-Pro
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…
1.1M contextTool callingStructured outputNo reported score
No reported score
deepseek-aiListed Apr 22
DeepSeek-V4-Pro
DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on…
1M contextTool callingStructured outputNo reported score
No reported score
deepseek-aiListed Apr 22
DeepSeek-V4-Flash
DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up…
1M contextTool callingStructured outputNo reported score
No reported score
QwenListed Apr 15
Qwen3.6-35B-A3B
Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared). Built on direct feedback from the…
262.1K context35BImage inputVideo inputNo reported score
No reported score
moonshotaiListed Apr 14
MoonshotAI: Kimi K2.6
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…
262.1K contextImage inputTool callingNo reported score
No reported score
z-aiListed Apr 3
Z.ai: GLM 5.1
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work…
204.8K contextTool callingStructured outputNo reported score
No reported score
minimaxListed Mar 18
MiniMax: MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates…
204.8K contextTool callingStructured outputNo reported score
No reported score
qwenListed Feb 24
Qwen: Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference…
262.1K context122BImage inputVideo inputNo reported score
No reported score
QwenListed Feb 24
Qwen3.5-27B
Qwen3.5-27B is Alibaba's largest dense Qwen3.5 model, delivering near-frontier quality across reasoning, coding, and instruction following. It features a 262K token context window (extensible to 1M),…
262.1K context27BImage inputVideo inputNo reported score
No reported score
QwenListed Feb 24
Qwen3.5-35B-A3B
Qwen3.5-35B-A3B is an efficient Mixture-of-Experts model from Alibaba's Qwen3.5 series with 35B total parameters and only 3B activated per token. It features a 262K token context window (extensible to 1M…
262.1K context35BImage inputVideo inputNo reported score
No reported score
QwenListed Feb 16
Qwen3.5-397B-A17B
Qwen3.5-397B-A17B is Alibaba's most capable Qwen3.5 model, a Mixture-of-Experts architecture with 397B total parameters and 17B activated per token. It features a 262K token context window (extensible to 1M…
262.1K context397BImage inputVideo inputNo reported score
No reported score
minimaxListed Feb 12
MiniMax: MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
204.8K contextTool callingStructured outputNo reported score
No reported score
moonshotaiListed Jan 1
MoonshotAI: Kimi K2.5
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…
262.1K contextImage inputTool callingNo reported score
No reported score
deepseek-aiListed Dec 1
DeepSeek-V3.2
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…
163.8K contextTool callingStructured outputNo reported score
No reported score