Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,445), while Qwen 2.5 Plus leads in SWE-bench software engineering benchmarks (59.2%), while Qwen 2.5 Plus 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.
10 direct benchmark disciplines evaluated across capability, speed, and cost
OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.
Alibaba balanced flagship API model with high-throughput general reasoning.
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 67 Arena Elo pts
110 tok/s
$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 | OpenAI o1 | Qwen 2.5 Plus | Advantage Delta |
|---|---|---|---|
| Preference Elo | +67 | ||
| Coding Elo | +25 | ||
| LiveBench | +1.9% | ||
| SWE-bench | +10.3% | ||
| GPQA Diamond | +2.2% | ||
| Time to first token | +240 ms | ||
| Output speed | 45 tok/s | 110 tok/s | +65 tok/s |
| Input price | $0.25/1M | +$14.75/1M | |
| Output price | +$59/1M | ||
| Context window | +72k |
Simulate monthly production API costs in USD (US Dollar).
Qwen 2.5 Plus is estimated to save $1,401.25/month ($16,815/year).
Higher SWE-bench (59.2%).
Lower output list price ($1/1M).
Lower TTFT (180 ms).
Larger window (200k).
Both accept images. Defaulting to the higher-Elo side (OpenAI o1).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Qwen 2.5 Plus | Higher SWE-bench (59.2%). |
| High-volume chat | Qwen 2.5 Plus | Lower output list price ($1/1M). |
| Voice / low-latency UI | Qwen 2.5 Plus | Lower TTFT (180 ms). |
| Long-document RAG | OpenAI o1 | Larger window (200k). |
| Screenshots / vision | OpenAI o1 | Both accept images. Defaulting to the higher-Elo side (OpenAI o1). |
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