GPT-4.1 mini vs Qwen3 14B vs QwQ 32B

GPT-4.1 mini is the better all-round choice, scoring 60/100 against Qwen3 14B (54) and QwQ 32B (53). It leads on inputs & features and context window. Qwen3 14B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Qwen3 14B is cheaper at $0.35 input / $1.40 output per million tokens (official Alibaba API price). GPT-4.1 mini costs $0.40 input / $1.60 output per million tokens (official OpenAI API price); QwQ 32B costs $0.66 input / $1.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.613 per million tokens for Qwen3 14B versus $0.70 for GPT-4.1 mini (1.1× as much) and $0.745 for QwQ 32B (1.2× as much).

Qwen3 14B scores higher on the Capabilities Index (ECI): Qwen3 14B 138.2 (#107 of 148), QwQ 32B 137.6 (#109 of 148) and GPT-4.1 mini 135.0 (#115 of 148). The confidence ranges of the top two overlap (133.5–140.1 vs 133.1–141.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4.1 mini 65.9%, QwQ 32B 65.3%, Qwen3 14B 63.8%; OTIS Mock AIME 2024–2025 — Qwen3 14B 66.4%, QwQ 32B 59.2%, GPT-4.1 mini 44.7%.

There are no published SWE-bench Verified results for GPT-4.1 mini, Qwen3 14B and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, Qwen3 14B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 131,072 for Qwen3 14B and 131,072 for QwQ 32B. Maximum output per response: GPT-4.1 mini up to 32,768, Qwen3 14B up to 8,192, QwQ 32B up to 8,192 tokens.

GPT-4.1 mini accepts text, images and PDFs; Qwen3 14B accepts text; QwQ 32B accepts text. GPT-4.1 mini handles the widest range of inputs.

Qwen3 14B and QwQ 32B publishes its weights and can be self-hosted; GPT-4.1 mini is proprietary.

Qwen3 14B is the newest, released Apr 29, 2025. GPT-4.1 mini came out Apr 14, 2025; QwQ 32B came out Mar 5, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Qwen3 14B Apr 2025, QwQ 32B Apr 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 Oct 4, 2026.