Gemini 2.5 Flash Preview 05-20 vs QwQ 32B

Gemini 2.5 Flash Preview 05-20 is the better all-round choice, scoring 67/100 against QwQ 32B (53). It leads on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

QwQ 32B is cheaper at $0.53 input / $0.70 output per million tokens (median across 2 API providers). Gemini 2.5 Flash Preview 05-20 costs $0.146 input / $1.96 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.573 per million tokens for QwQ 32B versus $0.60 for Gemini 2.5 Flash Preview 05-20 (1× as much).

Gemini 2.5 Flash Preview 05-20 scores higher on the Capabilities Index (ECI): Gemini 2.5 Flash Preview 05-20 141.5 (#106 of 165) and QwQ 32B 137.5 (#123 of 165). The confidence ranges of the top two overlap (139.3–142.9 vs 133.1–141.3), so treat the gap as small. On individual benchmarks: OTIS Mock AIME 2024–2025 — Gemini 2.5 Flash Preview 05-20 70.8%, QwQ 32B 59.2%.

There are no published SWE-bench Verified results for Gemini 2.5 Flash Preview 05-20 and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Flash Preview 05-20 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Gemini 2.5 Flash Preview 05-20 has the largest context window at 1,048,576 tokens, against 131,072 for QwQ 32B. Maximum output per response: Gemini 2.5 Flash Preview 05-20 up to 65,536, QwQ 32B up to 8,192 tokens.

Gemini 2.5 Flash Preview 05-20 accepts text, images, PDFs, audio and video; QwQ 32B accepts text. Gemini 2.5 Flash Preview 05-20 handles the widest range of inputs.

QwQ 32B publishes its weights and can be self-hosted; Gemini 2.5 Flash Preview 05-20 is proprietary.

Gemini 2.5 Flash Preview 05-20 is the newest, released May 20, 2025. QwQ 32B came out Mar 5, 2025. Knowledge cutoff: Gemini 2.5 Flash Preview 05-20 Jan 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 Nov 2, 2026.