AI Benchmark Model

Qwen3.8-Flash-Next

Benchmark scores, pricing, speed, and model comparisons for Qwen3.8-Flash-Next.

Key scores

Intelligence55.8Index score
Coding73.1Index score
Speed70.3Tokens/sec
Blended Cost$0.23Per 1M tokens

Qwen3.8-Flash-Next is an artificial intelligence model developed by Alibaba and released on August 26, 2026. In terms of performance metrics, the model achieves an intelligence index of 55.8 and a coding index of 73.1. Benchmark results for the model include a GPQA score of 0.923, an HLE score of 0.38, a SciCode score of 0.469, and an LCR score of 0.77. Regarding operational speed, the model demonstrates an output speed of 70.337 tokens per second with a time to first token of 1.563 seconds. Pricing for Qwen3.8-Flash-Next is structured at $0.15 per 1 million input tokens and $0.47 per 1 million output tokens, resulting in a blended rate of $0.23 per 1 million tokens.

Benchmark results

4 tracked benchmark rows for Qwen3.8-Flash-Next.

GPQA Reasoning
92.3%
LCR Other
77.0%
SciCode Other
46.9%
HLE Other
38.0%

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