GPT-5 Mini vs Qwen3 235B-A22B Thinking 2507

GPT-5 Mini is the better all-round choice, scoring 64/100 against Qwen3 235B-A22B Thinking 2507 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GPT-5 Mini is cheaper at $0.25 input / $2.00 output per million tokens (official OpenAI API price). Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5 Mini versus $0.95 for Qwen3 235B-A22B Thinking 2507 (1.4× as much).

GPT-5 Mini scores higher on the Capabilities Index (ECI): GPT-5 Mini 145.4 (#87 of 165) and Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165). The confidence ranges of the top two overlap (143.5–147.1 vs 141.9–145.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 235B-A22B Thinking 2507 80.1%, GPT-5 Mini 75.0%; OTIS Mock AIME 2024–2025 — GPT-5 Mini 86.7%, Qwen3 235B-A22B Thinking 2507 86.7%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GPT-5 Mini 21.6%.

There are no published SWE-bench Verified results for Qwen3 235B-A22B Thinking 2507 yet, so there is no like-for-like coding score. On overall capability, GPT-5 Mini leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

GPT-5 Mini has the largest context window at 400,000 tokens, against 262,144 for Qwen3 235B-A22B Thinking 2507. Maximum output per response: GPT-5 Mini up to 128,000, Qwen3 235B-A22B Thinking 2507 up to 81,920 tokens.

GPT-5 Mini accepts text and images; Qwen3 235B-A22B Thinking 2507 accepts text. GPT-5 Mini handles the widest range of inputs.

Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache 2.0) and can be self-hosted; GPT-5 Mini is proprietary.

GPT-5 Mini is the newest, released Aug 7, 2025. Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: GPT-5 Mini May 30, 2024.

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.