Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Qwen QwQ 32B delivers higher overall intelligence and human-preferred responses (Elo 1,495 vs 1,420), while Qwen QwQ 32B leads in SWE-bench software engineering benchmarks (67.5%), while Kimi Chat 1.5 is more budget-friendly at $0.8/1M 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
Moonshot ultra-long context model supporting up to 2 million tokens per request.
Alibaba specialized open reasoning model competing with frontier closed reasoning models.
Currently comparing Kimi Chat 1.5 vs Qwen QwQ 32B. 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 75 Arena Elo pts
95 tok/s
$0.8 / 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 | Kimi Chat 1.5 | Qwen QwQ 32B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +75 | ||
| Coding Elo | +130 | ||
| LiveBench | +10% | ||
| SWE-bench | +16.5% | ||
| GPQA Diamond | +11.7% | ||
| Time to first token | +110 ms | ||
| Output speed | 95 tok/s | 68 tok/s | +27 tok/s |
| Input price | $0.2/1M | $0.3/1M | +$0.1/1M |
| Output price | $0.8/1M | $1.2/1M | +$0.4/1M |
| Context window | +1.9M |
Simulate monthly production API costs in USD (US Dollar).
Kimi Chat 1.5 is estimated to save $9.50/month ($114/year).
Higher SWE-bench (67.5%).
Lower output list price ($0.8/1M).
Lower TTFT (210 ms).
Larger window (2M).
Qwen QwQ 32B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Qwen QwQ 32B | Higher SWE-bench (67.5%). |
| High-volume chat | Kimi Chat 1.5 | Lower output list price ($0.8/1M). |
| Voice / low-latency UI | Kimi Chat 1.5 | Lower TTFT (210 ms). |
| Long-document RAG | Kimi Chat 1.5 | Larger window (2M). |
| Screenshots / vision | Qwen QwQ 32B | Qwen QwQ 32B is the side marked multimodal in the catalog. |
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