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53 matches for “Qwen” · newest firstPage 1 / 3

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cloudflareListed 8 days ago

Cloudflare: Clef Omni

Scores typed questions over images, audio and video in one pass; can hear video soundtracks while inspecting sampled frames.

65.5K contextImage inputAudio inputNo reported score
No reported score
$0.15in$0.00out/ 1M tokens · USDOpenRouter
cloudflareListed 16 days ago

Cloudflare: Clef Flash

Small decision model for routing and scoring; the Workers AI route currently reads only roughly the first 2K text-state tokens.

24.6K contextImage inputOpen weightsNo reported score
No reported score
$0.038in$0.00out/ 1M tokens · USDDeepInfra · 2 endpoints
cloudflareListed 16 days ago

Cloudflare: Clef

Clef is Cloudflare's open-source 27B multimodal decision model, a fine-tune of Qwen3.8-27B served on Workers AI. It turns a state (text or structured JSON) plus a schema of typed questions...

65.5K contextImage inputOpen weightsNo reported score
No reported score
$0.042in$0.00out/ 1M tokens · USDOpenRouter · 2 endpoints
togethercomputerListed 17 days ago

Together: Tev1 4B Experimental

Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24...

32.8K context4BOpen weightsNo reported score
No reported score
$0.042in$0.00out/ 1M tokens · USDOpenRouter
jaredpalmerListed 22 days ago

Jared Palmer: Kev 4B

Kev 4B is a small open-weight decision model from Jared Palmer, built as a LoRA adapter and pointer head on Qwen3.5-4B-Base and served over the same /v1/systemone contract as TypeSafe's...

8.2K context4BOpen weightsNo reported score
No reported score
$0.042in$0.00out/ 1M tokens · USDOpenRouter
prism-mlListed 29 days ago

PrismML: Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary…

262.1K context27BImage inputTool callingNo reported score
No reported score
$0.075in$0.50out/ 1M tokens · USDDarkbloom · via OpenRouter · 2 endpointsdarkbloom/int4 · quantization=int4
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
$0.02in$0.50out/ 1M tokens · USDTenstorrent · via OpenRouter · 28 endpointstenstorrent/fp4 · quantization=fp4
QwenListed Jul 20

Qwen3-ASR-1.7B

Qwen3-ASR-1.7B is the flagship model of the Qwen3-ASR family: multilingual language identification and speech recognition across 30 languages and 22 Chinese dialects, built on Qwen3-Omni. It reaches…

1.7BAudio inputOpen weightsNo reported score
No reported score
$7.50in$0.00out/ 1M tokens · USDOpenRouter · 2 endpoints
QwenListed Jul 20

Qwen3-ASR-0.6B

Qwen3-ASR-0.6B is the compact model of the Qwen3-ASR family: multilingual language identification and speech recognition across 30 languages and 22 Chinese dialects, built on Qwen3-Omni. It targets an…

0.6BAudio inputOpen weightsNo reported score
No reported score
$3.33in$0.00out/ 1M tokens · USDOpenRouter · 2 endpoints
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

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
$0.26in$2.08out/ 1M tokens · USDAlibaba · via OpenRouter · 7 endpointsalibaba
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
qwenListed Feb 4

Qwen: Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.12in$0.80out/ 1M tokens · USDParasail · via OpenRouter · 2 endpointsparasail/bf16 · quantization=bf16
qwenListed Oct 14

Qwen: Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal…

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.25in$0.75out/ 1M tokens · USDParasail · via OpenRouter · 2 endpointsparasail/bf16 · quantization=bf16
qwenListed Oct 6

Qwen: Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks.…

262.1K context30BImage inputTool callingNo reported score
No reported score
$0.29in$1.00out/ 1M tokens · USDSiliconFlow · via OpenRouter · 2 endpointssiliconflow/fp8 · quantization=fp8
QwenListed Sep 30

Qwen3-VL-30B-A3B-Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual…

262.1K context30BImage inputTool callingNo reported score
No reported score
$0.15in$0.60out/ 1M tokens · USDdeepinfra · via Hugging Face · 8 endpoints