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 1,430), while OpenAI o3-mini leads in SWE-bench software engineering benchmarks (78.5%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while OpenAI o3-mini provides faster response streaming (92 tok/s). 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.
01.AI full-scale dense model for complex instruction following.
Currently comparing OpenAI o3-mini 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 130 Arena Elo pts
92 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 o3-mini | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | +130 | ||
| Coding Elo | +175 | ||
| LiveBench | +11.9% | ||
| SWE-bench | +24.7% | ||
| GPQA Diamond | +14.8% | ||
| Time to first token | +70 ms | ||
| Output speed | 92 tok/s | 90 tok/s | +2 tok/s |
| Input price | $1.1/1M | $0.3/1M | +$0.8/1M |
| Output price | $4.4/1M | $0.3/1M | +$4.1/1M |
| Context window | +167k |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $89.50/month ($1,074/year).
Higher SWE-bench (78.5%).
Lower output list price ($0.3/1M).
Lower TTFT (220 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 | Yi-Large | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | Yi-Large | Lower TTFT (220 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. |
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