Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o3-mini delivers higher overall intelligence and human-preferred responses (Elo 1,560 vs 1,425), while OpenAI o3-mini leads in SWE-bench software engineering benchmarks (78.5%), while Qwen 2.5 Coder 32B is more budget-friendly at $0.72/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
OpenAI cost-efficient reasoning model with adjustable thinking effort and top coding benchmark scores.
Alibaba dedicated open-weight code generation model with near-frontier SWE-bench Verified coding capability.
Currently comparing OpenAI o3-mini vs Qwen 2.5 Coder 32B. 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 135 Arena Elo pts
110 tok/s
$0.72 / 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 | OpenAI o3-mini | Qwen 2.5 Coder 32B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +135 | ||
| Coding Elo | +90 | ||
| LiveBench | +7.6% | ||
| SWE-bench | +13.3% | ||
| GPQA Diamond | +13.2% | ||
| Time to first token | +110 ms | ||
| Output speed | 92 tok/s | 110 tok/s | +18 tok/s |
| Input price | $1.1/1M | $0.18/1M | +$0.92/1M |
| Output price | $4.4/1M | $0.72/1M | +$3.68/1M |
| Context window | +69k |
Simulate monthly production API costs in USD (US Dollar).
Qwen 2.5 Coder 32B is estimated to save $87.40/month ($1,049/year).
Higher SWE-bench (78.5%).
Lower output list price ($0.72/1M).
Lower TTFT (180 ms).
Larger window (200k).
OpenAI o3-mini is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | OpenAI o3-mini | Higher SWE-bench (78.5%). |
| High-volume chat | Qwen 2.5 Coder 32B | Lower output list price ($0.72/1M). |
| Voice / low-latency UI | Qwen 2.5 Coder 32B | Lower TTFT (180 ms). |
| Long-document RAG | OpenAI o3-mini | Larger window (200k). |
| Screenshots / vision | OpenAI o3-mini | OpenAI o3-mini 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/o3-mini-vs-qwen-2-5-coder-32b/opengraph-image
Verified Head-to-Head Telemetry
