GPT-5 mini vs Qwen3-Max

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GPT-5 mini

OpenAI · Aug 2025

A fast, cheap distillation of GPT-5 for high-volume workloads — one fifth of the flagship's price with most of its everyday capability.

Qwen3-Max

Alibaba (Qwen) · Sep 2025

80.5

Alibaba's trillion-parameter API flagship — frontier-adjacent quality with strong agentic tool use at mid-tier prices.

The verdict

GPT-5 mini wins 2 of the 3 benchmarks these models share, against 1 for Qwen3-Max. On price the gap is dramatic: GPT-5 mini works out roughly 3.5x cheaper per blended million tokens. GPT-5 mini also takes 400K of context versus 262K for Qwen3-Max.

Benchmark head-to-head 21

SWE-bench Verified
~71%69.6%
GPT-5 miniQwen3-Max
GPQA Diamond
~82.3%~85.4%
GPT-5 miniQwen3-Max
AIME 2025
~91.1%~81.6%
GPT-5 miniQwen3-Max

Specs & pricing

GPT-5 miniQwen3-Max
modhub Index80.5
Input price / 1M$0.25$1.2
Output price / 1M$2$6
Context window400K262K
Max output128K66K
Open weightsnono
Reasoning modelyesyes
Multimodal inputtext, imagetext
Knowledge cutoffMay 2024Jun 2025
ReleasedAug 2025Sep 2025
Example monthly cost*$5.50$21.00

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GPT-5 mini or Qwen3-Max?
GPT-5 mini wins 2 of the 3 benchmarks these models share, against 1 for Qwen3-Max. On price the gap is dramatic: GPT-5 mini works out roughly 3.5x cheaper per blended million tokens. GPT-5 mini also takes 400K of context versus 262K for Qwen3-Max.
Which is cheaper, GPT-5 mini or Qwen3-Max?
GPT-5 mini costs $0.25/$2 per million input/output tokens, while Qwen3-Max costs $1.2/$6. For a typical workload of 10M input and 1.5M output tokens per month, that's $5.50 versus $21.00.
Which model is better for coding, GPT-5 mini or Qwen3-Max?
On SWE-bench Verified — the standard agentic-coding benchmark — GPT-5 mini scores ~71% versus 69.6% for Qwen3-Max, making GPT-5 mini the stronger pick for coding agents.

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