Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Kimi Chat 1.5 delivers higher overall intelligence and human-preferred responses (Elo 1,420 vs 1,365), while DeepSeek Coder V2 leads in SWE-bench software engineering benchmarks (60.5%), while DeepSeek Coder V2 is more budget-friendly at $0.28/1M per 1M output tokens, while Kimi Chat 1.5 provides faster response streaming (95 tok/s). 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
DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.
Moonshot ultra-long context model supporting up to 2 million tokens per request.
Δ 55 Arena Elo pts
95 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 Chat 1.5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +55 | ||
| Coding Elo | +52 | ||
| LiveBench | +0.6% | ||
| SWE-bench | +9.5% | ||
| GPQA Diamond | +1.3% | ||
| Time to first token | +80 ms | ||
| Output speed | 75 tok/s | 95 tok/s | +20 tok/s |
| Input price | $0.14/1M | $0.2/1M | +$0.06/1M |
| Output price | $0.28/1M | $0.8/1M | +$0.52/1M |
| Context window | +1.9M |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek Coder V2 is estimated to save $9.90/month ($119/year).
Higher SWE-bench (60.5%).
Lower output list price ($0.28/1M).
Lower TTFT (210 ms).
Larger window (2M).
Kimi Chat 1.5 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek Coder V2 | Higher SWE-bench (60.5%). |
| High-volume chat | DeepSeek Coder V2 | Lower output list price ($0.28/1M). |
| Voice / low-latency UI | Kimi Chat 1.5 | Lower TTFT (210 ms). |
| Long-document RAG | Kimi Chat 1.5 | Larger window (2M). |
| Screenshots / vision | Kimi Chat 1.5 | Kimi Chat 1.5 is the side marked multimodal in the catalog. |
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