Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, Qwen QwQ 32B delivers higher overall intelligence and human-preferred responses (Elo 1,495 vs 1,425), while Qwen QwQ 32B leads in SWE-bench software engineering benchmarks (67.5%), while Qwen2.5 Coder 32B Instruct is more budget-friendly at $1/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
7 direct benchmark disciplines evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.
Alibaba specialized open reasoning model competing with frontier closed reasoning models.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 70 Arena Elo pts
No latency data
$1 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Qwen2.5 Coder 32B Instruct | Qwen QwQ 32B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +70 | ||
| Coding Elo | +25 | ||
| LiveBench | +3.2% | ||
| SWE-bench | +2.3% | ||
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 68 tok/s | — |
| Input price | $0.66/1M | $0.3/1M | +$0.36/1M |
| Output price | $1.2/1M | +$0.2/1M | |
| Context window | +98k |
Simulate monthly production API costs in USD (US Dollar).
Qwen QwQ 32B is estimated to save $9.60/month ($115/year).
Higher SWE-bench (67.5%).
Lower output list price ($1/1M).
Need TTFT on both sides.
Larger window (131k).
Qwen QwQ 32B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Qwen QwQ 32B | Higher SWE-bench (67.5%). |
| High-volume chat | Qwen2.5 Coder 32B Instruct | Lower output list price ($1/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Qwen QwQ 32B | Larger window (131k). |
| Screenshots / vision | Qwen QwQ 32B | Qwen QwQ 32B is the side marked multimodal in the catalog. |
No comments posted on this matchup yet. Be the first to share an evaluation note!
Dynamic OpenGraph banner generated at /compare/qwen-2-5-coder-32b-instruct-vs-qwq-32b/opengraph-image
Verified Head-to-Head Telemetry