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 1,430), while Yi-Large leads in SWE-bench software engineering benchmarks (53.8%), 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.
10 direct benchmark disciplines evaluated across capability, speed, and cost
OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.
01.AI full-scale dense model for complex instruction following.
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 82 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 | OpenAI o1 | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | +82 | ||
| Coding Elo | +75 | ||
| LiveBench | +4.9% | ||
| SWE-bench | +4.9% | ||
| GPQA Diamond | +5.6% | ||
| Time to first token | +200 ms | ||
| Output speed | 45 tok/s | 90 tok/s | +45 tok/s |
| Input price | $0.3/1M | +$14.7/1M | |
| Output price | $0.3/1M | +$59.7/1M | |
| Context window | +167k |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $1,410.00/month ($16,920/year).
Higher SWE-bench (53.8%).
Lower output list price ($0.3/1M).
Lower TTFT (220 ms).
Larger window (200k).
OpenAI o1 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Yi-Large | Higher SWE-bench (53.8%). |
| 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 | OpenAI o1 | Larger window (200k). |
| Screenshots / vision | OpenAI o1 | OpenAI o1 is the side marked multimodal in the catalog. |
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