ModelRefs / QwQ 32B vs Qwen 2.5 Coder 32B
QwQ 32B vs Qwen 2.5 Coder 32B
QwQ 32B vs Qwen 2.5 Coder 32B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Qwen 2.5 Coder 32B: Qwen 2.5 Coder 32B Instruct is Alibaba's code-specialised model, 32.5 billion parameters (31.0 billion excluding embeddings) trained on 5.5 trillion tokens of source code, text-code grounding and synthetic data, and released under Apache 2.0. Qwen builds it for code generation, code reasoning and code repair. The published config sets a 32,768-token context by default; reaching the full 131,072 tokens requires YaRN scaling, which Qwen notes can degrade quality on shorter inputs.
QwQ 32B: QwQ 32B is the reasoning model of Alibaba's Qwen series, a 32.5-billion-parameter causal language model (31.0 billion excluding embeddings) with 64 layers and grouped-query attention using 40 query and 8 key-value heads. It is built to work through a problem before answering rather than responding directly. The full context length is 131,072 tokens, though Qwen notes that prompts beyond 8,192 tokens require YaRN to be enabled. Released under Apache 2.0.
Context window: Qwen 2.5 Coder 32B accepts up to 131,072 tokens, QwQ 32B up to 131,072. Confirm the limit for your specific deployment channel before relying on it.
Qwen 2.5 Coder 32B vs QwQ 32B at a glance
| Attribute | Qwen 2.5 Coder 32B | QwQ 32B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Released | 2024-11-12 | 2025-03-06 |
| Context window | 131,072 tokens | 131,072 tokens |
| Input price | $0.18/M tokens | $0.15/M tokens |
| Output price | $0.18/M tokens | $0.6/M tokens |
| Licence | Apache-2.0 | Apache-2.0 |
| Self-hostable | Yes, open weights | Yes, open weights |
| Modalities | text | text |
Reported on different variants
Both models are measured on these benchmarks, but not on the same variant of them, so the two numbers are not a like-for-like comparison. Each side is shown with the variant it was measured on.
| Benchmark | Qwen 2.5 Coder 32B | QwQ 32B | Reported |
|---|---|---|---|
| LiveCodeBench | 31.4 (accuracy) | 63.4 (avg@8) | 2024-11-12 |
A different task set or a different reported metric can move a score by more than the gap between two models. Use these as two separate findings, not as a ranking.
Where they differ most
- Coding: Qwen 2.5 Coder 32B 50%, QwQ 32B 63%. QwQ 32B leads on this dimension.
- Cost Efficiency: Qwen 2.5 Coder 32B 96%, QwQ 32B 91%. Qwen 2.5 Coder 32B leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to QwQ 32B vs Qwen 2.5 Coder 32B.
Frequently asked questions
Which is better, QwQ 32B or Qwen 2.5 Coder 32B?
QwQ 32B and Qwen 2.5 Coder 32B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is QwQ 32B cheaper than Qwen 2.5 Coder 32B?
Compare $0.00015 vs $0.00018 on this page.