Pairwise benchmark snapshot · Aug 17, 2026
This page compares Kimi Chat 1.5 (Moonshot) 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 25 points (1,445 vs 1,420; lmarena (Aug 17, 2026)). On SWE-bench coding, Qwen 2.5 Plus resolves 59.2% versus 51% (swebench (Aug 17, 2026)). Qwen 2.5 Plus streams faster (110 tok/s) while Kimi Chat 1.5 is the cheaper output token ($0.8/1M). Kimi Chat 1.5 has the larger context window (2M 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.
Moonshot
Kimi Chat 1.5Moonshot ultra-long context model supporting up to 2 million tokens per request.
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.
25 pts advantage
15 tok/s faster
$0.20/1M cheaper
Simulate monthly production API costs in USD (US Dollar).
Kimi Chat 1.5 is estimated to save $4.75/month ($57/year).
Higher SWE-bench (59.2%).
Lower output list price ($0.8/1M).
Lower TTFT (180 ms).
Larger window (2M).
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 | Kimi Chat 1.5 | Lower output list price ($0.8/1M). |
| Voice / low-latency UI | Qwen 2.5 Plus | Lower TTFT (180 ms). |
| Long-document RAG | Kimi Chat 1.5 | Larger window (2M). |
| Screenshots / vision | Qwen 2.5 Plus | Qwen 2.5 Plus is the side marked multimodal in the catalog. |
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