Pairwise benchmark snapshot · Aug 17, 2026
This page compares Command A (Cohere) and Qwen 2.5 Plus (Alibaba) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Qwen 2.5 Plus is ahead by 101 points (1,445 vs 1,344; lmarena (Aug 17, 2026)). On SWE-bench coding, Qwen 2.5 Plus resolves 59.2% versus 42.6% (swebench (Aug 17, 2026)). Command A streams faster (118 tok/s) while Qwen 2.5 Plus is the cheaper output token ($1/1M). Command A has the larger context window (256k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Alibaba
Qwen 2.5 PlusAlibaba balanced flagship API model with high-throughput general reasoning.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
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
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
101 pts advantage
8 tok/s faster
$9.00/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
Qwen 2.5 Plus is estimated to save $213.75/month ($2,565/year).
Higher SWE-bench (59.2%).
Lower output list price ($1/1M).
Lower TTFT (175 ms).
Larger window (256k).
Qwen 2.5 Plus is the side marked multimodal in the catalog.
| 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 | Command A | Lower TTFT (175 ms). |
| Long-document RAG | Command A | Larger window (256k). |
| Screenshots / vision | Qwen 2.5 Plus | Qwen 2.5 Plus is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/command-a-vs-qwen-2-5-plus/opengraph-image for crawlers.
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