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](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
No provider description is available for this model yet.
No provider description is available for this model yet.
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 that can be...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
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](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
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 that can be...
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...
No provider description is available for this model yet.
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | 1.01M | $2 | $6 | — | |||
| Qwen/Qwen3.8-2.4T-A95BQwen/Qwen3.8-2.4T-A95B | Not documented | — | — | — | |||
| Qwen/Qwen3.8-27BQwen/Qwen3.8-27B | Not documented | — | — | — | |||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | 262.144K | $0.2 | $2.5 | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | 1M | $0.15 | $0.47 | — | |||
| Qwen: Qwen3.8 2.4T A95B (batch)qwen/qwen3.8-2.4t-a95b:batch | 1.01M | $2 | $6 | — | |||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | 262.144K | $0.17 | $0.25 | — | |||
| Qwen/Qwen3.8-Flash-NextQwen/Qwen3.8-Flash-Next | Not documented | — | — | — | |||
| Qwen/Qwen-Drive-1.0-4BQwen/Qwen-Drive-1.0-4B | Not documented | — | — | — | |||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | 1M | $2 | $6 | — | |||
| Qwen: Qwen3.8 27B (free)qwen/qwen3.8-27b:free | 262.144K | Free | Free | — | |||
| Qwen/Qwen-Image-2.1-PE-T2IQwen/Qwen-Image-2.1-PE-T2I | Not documented | — | — | — | |||
| Qwen/Qwen-Image-2.1Qwen/Qwen-Image-2.1 | Not documented | — | — | — | |||
| Qwen: Qwen3.8 Omni Flashqwen/qwen3.8-omni-flash | 1M | $0.15 | $0.47 | — | |||
| Qwen: Qwen3.8 Max Primeqwen/qwen3.8-max-prime | 1M | $4 | $12 | — | |||
| Qwen/Qwen-Image-2.1-TurboQwen/Qwen-Image-2.1-Turbo | Not documented | — | — | — | |||
| Qwen: Qwen3.7 Plus (batch)qwen/qwen3.7-plus:batch | 262.144K | $0.23 | $0.92 | — |