Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Kimi K2 delivers higher overall intelligence and human-preferred responses (Elo 1,465 vs 1,365), while Kimi K2 leads in SWE-bench software engineering benchmarks (65.8%), while DeepSeek Coder V2 is more budget-friendly at $0.28/1M per 1M output tokens, while Kimi K2 provides faster response streaming (85 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 direct benchmark disciplines evaluated across capability, speed, and cost
DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.
Moonshot foundation model with strong native bilingual reasoning and 65.8% SWE-bench Verified coding baseline.
Δ 100 Arena Elo pts
85 tok/s
$0.28 / 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 | DeepSeek Coder V2 | Kimi K2 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +100 | ||
| Coding Elo | +28 | ||
| LiveBench | +4.2% | ||
| SWE-bench | +5.3% | ||
| GPQA Diamond | +6.3% | ||
| Time to first token | +50 ms | ||
| Output speed | 75 tok/s | 85 tok/s | +10 tok/s |
| Input price | $0.14/1M | $0.35/1M | +$0.21/1M |
| Output price | $0.28/1M | $1.4/1M | +$1.12/1M |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek Coder V2 is estimated to save $24.15/month ($290/year).
Higher SWE-bench (65.8%).
Lower output list price ($0.28/1M).
Lower TTFT (240 ms).
Larger window (128k).
Kimi K2 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Kimi K2 | Higher SWE-bench (65.8%). |
| High-volume chat | DeepSeek Coder V2 | Lower output list price ($0.28/1M). |
| Voice / low-latency UI | Kimi K2 | Lower TTFT (240 ms). |
| Long-document RAG | DeepSeek Coder V2 | Larger window (128k). |
| Screenshots / vision | Kimi K2 | Kimi K2 is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry