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Scores, capabilities and costs for the models you’re considering.
| 1 model | qwenQwen: Qwen3.8 2.4T A95BRemove × |
|---|---|
| What’s different | 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... |
| Date | Aug 8, 2026Listed |
API prices USD · provider configuration shown below | |
| Listed rate | $2.00 in / $6.00 out/ 1M tokensAlibaba · via OpenRouter · all routes ↗alibaba |
| Provider endpoints | 11 endpoints → |
Benchmarks Each result retains its evaluation configuration | |
| LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 64.24% ↗Effort: max · single run · equal mean of 7 suitesIndependent result |
| LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 78.6% ↗Effort: max · single runIndependent result |
| LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 69.9% ↗Effort: max · single runIndependent result |
| LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 32% ↗Effort: max · single runIndependent result |
| LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 60.3% ↗Effort: max · single runIndependent result |
| LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 42.3% ↗Effort: max · single runIndependent result |
| LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 78.4% ↗Effort: max · single runIndependent result |
| LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 88.2% ↗Effort: max · single runIndependent result |
Specifications | |
| Context window | 1M |
| Max output | 131.1K |
| Parameters | — |
| Tool calling | Supported |
| Structured output | Supported |
| Reasoning | Supported |
| Prompt caching | Supported |
| Open weights | Supported |