Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, MoonshotAI: Kimi K2 0711 delivers higher overall intelligence and human-preferred responses (Elo 1,465 vs 1,425), while MoonshotAI: Kimi K2 0711 leads in SWE-bench software engineering benchmarks (65.8%), while Qwen2.5 Coder 32B Instruct is more budget-friendly at $1/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
7 benchmarks evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (moonshotai/kimi-k2). Preview until a second source matches.
Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.
Currently comparing MoonshotAI: Kimi K2 0711 vs Qwen2.5 Coder 32B Instruct. Alternative family tiers available.
Δ 40 Arena Elo pts
No latency data
$1 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability 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 | MoonshotAI: Kimi K2 0711 | Qwen2.5 Coder 32B Instruct | Advantage Delta |
|---|---|---|---|
| Preference Elo | +40 | ||
| Coding Elo | +25 | ||
| LiveBench | +2% | ||
| SWE-bench | +0.6% | ||
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | 85 tok/s | — | — |
| Input price | $0.57/1M | $0.66/1M | +$0.09/1M |
| Output price | $2.3/1M | +$1.3/1M | |
| Context window | +98k |
Simulate monthly production API costs in USD (US Dollar).
Qwen2.5 Coder 32B Instruct is estimated to save $16.35/month ($196/year).
Higher SWE-bench (65.8%).
Lower output list price ($1/1M).
Need TTFT on both sides.
Larger window (131k).
MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | MoonshotAI: Kimi K2 0711 | Higher SWE-bench (65.8%). |
| High-volume chat | Qwen2.5 Coder 32B Instruct | Lower output list price ($1/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | MoonshotAI: Kimi K2 0711 | Larger window (131k). |
| Screenshots / vision | MoonshotAI: Kimi K2 0711 | MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
