DeepSeek-R1-Distill-Qwen-32B vs QwQ 32B vs QwQ Plus

It is close. Our weighted score puts them within a point (QwQ Plus 54/100, QwQ 32B 54/100, DeepSeek-R1-Distill-Qwen-32B 48/100), so choose by what matters most for your work: QwQ Plus for raw capability and QwQ 32B on price. The score weighs capability 67%, inputs & features 20%, context window 13%. Capability uses the average of shared benchmarks (GPQA Diamond), because QwQ Plus has no Capabilities Index score yet.

QwQ 32B is cheaper at $0.66 input / $1.00 output per million tokens (median across 1 API provider). QwQ Plus costs $0.80 input / $2.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.745 per million tokens for QwQ 32B versus $1.20 for QwQ Plus (1.6× as much). DeepSeek-R1-Distill-Qwen-32B has no published per-token price.

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): QwQ Plus 65.4%, QwQ 32B 65.3% and DeepSeek-R1-Distill-Qwen-32B 64.1%. On individual benchmarks: GPQA Diamond — QwQ Plus 65.4%, QwQ 32B 65.3%, DeepSeek-R1-Distill-Qwen-32B 64.1%.

There are no published SWE-bench Verified results for DeepSeek-R1-Distill-Qwen-32B, QwQ 32B and QwQ Plus yet, so there is no like-for-like coding score. On overall capability, QwQ Plus leads, which tends to carry over to coding, but test on your own codebase. Note that DeepSeek-R1-Distill-Qwen-32B does not support tool calling, which most coding agents need.

DeepSeek-R1-Distill-Qwen-32B, QwQ 32B and QwQ Plus share the same 131,072-token context window. Maximum output per response: DeepSeek-R1-Distill-Qwen-32B up to 32,768, QwQ 32B up to 8,192, QwQ Plus up to 8,192 tokens.

DeepSeek-R1-Distill-Qwen-32B accepts text; QwQ 32B accepts text; QwQ Plus accepts text. They handle the same number of input types.

DeepSeek-R1-Distill-Qwen-32B and QwQ 32B publishes its weights and can be self-hosted; QwQ Plus is proprietary.

QwQ 32B is the newest, released Mar 5, 2025. QwQ Plus came out Mar 5, 2025; DeepSeek-R1-Distill-Qwen-32B came out Jan 20, 2025. Knowledge cutoff: QwQ 32B Apr 2024, QwQ Plus 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.