inclusionAIListed 5 days ago
Ling-3.1-flash
Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.
262.1K contextOpen weightsTool callingNo reported score
No reported score
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inclusionaiListed 15 days ago
inclusionAI: Ling 3.1 Flash
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
262.1K contextTool callingStructured outputNo reported score
No reported score
xiaomiListed 26 days ago
Xiaomi: MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention…
1.1M contextImage inputAudio inputNo reported score
No reported score
xiaomiReleased 27 days ago
Xiaomi: MiMo-V2.6-Pro
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
1.1M contextImage inputAudio input
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
inclusionAIListed Sep 4
Ling-3.0-flash-VL
The multimodal version built on Ling-3.0-flash — 124B total / ~5.5B active per token, with native text, image, and video understanding. It’s mainly designed for multimodal agentic workflows, long-context…
262.1K contextImage inputVideo inputNo reported score
No reported score
No reported score
tencentListed Aug 27
Hy4-preview
Hy4 preview is a 770B-parameter Mixture-of-Experts flagship model from the Tencent Hy Team, with 49B parameters activated per token and a 1M-token context window. It uses Gated DeepSeek Sparse Attention…
1M contextTool callingStructured outputNo reported score
No reported score
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
QwenReleased Aug 14
Qwen3.8-27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking…
1M context27BImage inputVideo input
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
qwenListed Aug 8
Qwen: Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...
1M contextTool callingStructured output
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
$0.4092in$1.2276out/ 1M tokens · USDNovita · via OpenRouter · 2 endpointsnovita/fp8 · quantization=fp8
inclusionaiListed Jul 23
inclusionAI: Ling 3.0 Flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic…
262.1K contextTool callingStructured outputNo 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
$0.6496in$2.0416out/ 1M tokens · USDNovita · via OpenRouter · 2 endpointsnovita/fp8 · quantization=fp8
moonshotaiListed Jun 11
MoonshotAI: Kimi K2.7 Code
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…
262.1K contextImage inputTool callingNo reported score
No reported score
$0.912in$3.84out/ 1M tokens · USDNovita · via OpenRouter · 2 endpointsnovita/int4 · quantization=int4
MiniMaxAIReleased Jun 1
MiniMax-M3
MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.
1M contextImage inputOpen weights
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
stepfunListed May 23
StepFun: Step 3.7 Flash
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…
262.1K 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
xiaomiListed Apr 22
Xiaomi: MiMo-V2.5
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…
1.1M contextImage inputAudio inputNo 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