AI Benchmark Model
Qwen3.8 2.4T A95B
Benchmark scores, pricing, speed, and model comparisons for Qwen3.8 2.4T A95B.
Key scores
The Qwen3.8 2.4T A95B model, developed by Alibaba and released on August 12, 2026, is a language model designed for various computational tasks. It holds an intelligence index of 57.7 and a coding index of 71.9. In terms of performance, the model achieves an output speed of 49.766 tokens per second with a time to first token of 1.824 seconds. Pricing for the model is set at $2.00 per 1 million input tokens and $6.00 per 1 million output tokens, resulting in a blended rate of $3.00 per 1 million tokens. Benchmark results for the model include a GPQA score of 0.935, an HLE score of 0.424, a SciCode score of 0.516, and an LCR score of 0.753333333333333.
Benchmark results
4 tracked benchmark rows for Qwen3.8 2.4T A95B.
GPQA Reasoning
93.5% LCR Other
75.3% SciCode Other
51.6% HLE Other
42.4%
Comments (0)
to join the discussion
No comments yet
Be the first to share your thoughts!