Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, MiniMax M2.5 delivers higher overall intelligence and human-preferred responses (Elo 1,478 vs 1,430), while MiniMax M2.5 leads in SWE-bench software engineering benchmarks (75.8%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while MiniMax M2.5 provides faster response streaming (90 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
8 direct benchmark disciplines evaluated across capability, speed, and cost
MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.
01.AI full-scale dense model for complex instruction following.
Δ 48 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 | MiniMax M2.5 | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | +48 | ||
| Coding Elo | +126 | ||
| LiveBench | +3.9% | ||
| SWE-bench | +22% | ||
| GPQA Diamond | +3.8% | ||
| Time to first token | +30 ms | ||
| Output speed | 90 tok/s | 90 tok/s | — |
| Input price | $0.3/1M | $0.3/1M | — |
| Output price | $1.2/1M | $0.3/1M | +$0.9/1M |
| Context window | +172k |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $13.50/month ($162/year).
Higher SWE-bench (75.8%).
Lower output list price ($0.3/1M).
Lower TTFT (220 ms).
Larger window (205k).
MiniMax M2.5 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | MiniMax M2.5 | Higher SWE-bench (75.8%). |
| 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 | MiniMax M2.5 | Larger window (205k). |
| Screenshots / vision | MiniMax M2.5 | MiniMax M2.5 is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry