AI Benchmark Model
Qwen3.8 Max
Benchmark scores, pricing, speed, and model comparisons for Qwen3.8 Max.
Key scores
Qwen3.8 Max is an artificial intelligence model developed by Alibaba, officially released on August 3, 2026. In terms of performance metrics, the model achieves an intelligence index of 40.3 and a coding index of 71.8. Benchmark results for the model include a GPQA score of 0.927, an HLE score of 0.43, a SciCode score of 0.532, and an LCR score of 0.783333333333333. Regarding operational speed, Qwen3.8 Max demonstrates an output speed of 40.229 tokens per second with a time to first token of 1.82 seconds. The pricing structure 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 cost of $3.00 per 1 million tokens.
Benchmark results
4 tracked benchmark rows for Qwen3.8 Max.
GPQA Reasoning
92.7% LCR Other
78.3% SciCode Other
53.2% HLE Other
43.0%