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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

AA IntelligenceEffort: xhigh · Xhigh33.68 LiveBenchEffort: max · single run · equal mean of 7 suites62.66%

$0.039in$1.25out/ 1M tokens · USDChutes · via OpenRouterchutes/fp8 · quantization=fp8

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moonshotaiReleased Jul 16

Kimi-K3

2.8T total and 104B active parameters; combines Kimi Delta Attention with native image/video input under the Kimi K3 license.

1M contextImage inputVideo input

AA IntelligenceEffort: max · Max43.59 LiveBenchEffort: max · single run · equal mean of 7 suites63.39%

$1.85in$9.50out/ 1M tokens · USDChutes · via OpenRouterchutes/mxfp4 · quantization=mxfp4

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qwenListed Apr 21

Qwen: Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

262.1K context27BImage inputVideo inputNo reported score

No reported score

$0.25in$2.00out/ 1M tokens · USDChutes · via OpenRouterchutes/fp8 · quantization=fp8

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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

$0.45in$1.95out/ 1M tokens · USDChutes · via OpenRouterchutes/int4 · quantization=int4

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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

$0.98in$3.08out/ 1M tokens · USDChutes · via OpenRouterchutes/fp8 · quantization=fp8

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googleListed Mar 11

Google: Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native…

262.1K context31BImage inputVideo input

LiveBenchEffort: max · single run · equal mean of 7 suites41.53%

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deepseek-aiDiscovered Today