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11 matches for “alibaba” · newest firstPage 1 / 1

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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 OpenRouter · 12 endpointschutes/fp8 · quantization=fp8
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
$0.05in$0.70out/ 1M tokens · USDDarkbloom · via OpenRouter · 15 endpointsdarkbloom/fp4 · quantization=fp4
QwenListed Feb 27

Qwen3.5-9B

Qwen3.5-9B is a high-performance model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It features a 262K token context window, thinking/reasoning mode, tool…

262.1K context9BImage inputVideo inputNo reported score
No reported score
$0.08in$0.13out/ 1M tokens · USDDarkbloom · via OpenRouter · 12 endpointsdarkbloom/fp4 · quantization=fp4
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
$0.195in$1.56out/ 1M tokens · USDAlibaba · via OpenRouter · 12 endpointsalibaba
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
$0.065in$0.75out/ 1M tokens · USDDarkbloom · via OpenRouter · 11 endpointsdarkbloom/fp4 · quantization=fp4
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
$0.39in$2.34out/ 1M tokens · USDAlibaba · via OpenRouter · 17 endpointsalibaba
thenlperListed Nov 22

gte-base

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
thenlperListed Nov 22

gte-large

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…

512 contextOpen weightsNo reported score
No reported score
$0.01in$0.00out/ 1M tokens · USDOpenRouter