Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Qwen QwQ 32B delivers higher overall intelligence and human-preferred responses (Elo 1,495 vs 1,430), while Qwen QwQ 32B leads in SWE-bench software engineering benchmarks (67.5%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 direct benchmark disciplines evaluated across capability, speed, and cost
Alibaba specialized open reasoning model competing with frontier closed reasoning models.
01.AI full-scale dense model for complex instruction following.
Currently comparing Qwen QwQ 32B vs Yi-Large. Alternative family tiers available.
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 65 Arena Elo pts
90 tok/s
$0.3 / 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 | Qwen QwQ 32B | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | +65 | ||
| Coding Elo | +110 | ||
| LiveBench | +7.5% | ||
| SWE-bench | +13.7% | ||
| GPQA Diamond | +10.8% | ||
| Time to first token | +100 ms | ||
| Output speed | 68 tok/s | 90 tok/s | +22 tok/s |
| Input price | $0.3/1M | $0.3/1M | — |
| Output price | $1.2/1M | $0.3/1M | +$0.9/1M |
| Context window | +98k |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $13.50/month ($162/year).
Higher SWE-bench (67.5%).
Lower output list price ($0.3/1M).
Lower TTFT (220 ms).
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 | Yi-Large | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | Yi-Large | Lower TTFT (220 ms). |
| 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/qwq-32b-vs-yi-large/opengraph-image
Verified Head-to-Head Telemetry
