Kimi K2.6 vs DeepSeek V4 Pro
Side-by-side comparison across metrics, pricing, and overall score — every value traced to a source.
Verdict: DeepSeek V4 Pro ranks highest overall (#4) with a score of 51.8.
The best choice still depends on which metrics matter for your workload — per-metric winners are marked below.
What the numbers hide
Computed from the published values below — no estimates, no generated claims.
Fragile verdict
The overall winner flips to Kimi K2.6 if SWE-Bench Pro Score is weighted at 55% (it counts for 29% today). If swe-bench pro score drives your decision, the ranking above may not be your ranking.
Real tradeoff
Kimi K2.6 clearly beats DeepSeek V4 Pro on SWE-Bench Pro Score but clearly loses on Input Price — this pair is a priorities question, not a quality question.
AI hot take
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| Metric | Kimi K2.6Moonshot AI | DeepSeek V4 ProDeepSeek |
|---|---|---|
| Overall OptiSift Score | 32.9#8 | 51.8#4 |
| Input Price | $0.95 | $0.44 |
| Output Price | $4 | $0.87 |
| Cache Read Price | $0.16 | $0 |
| Context Window | 262K | 1M |
| Max Output Tokens | 262K | 384K |
| SWE-Bench Pro Score | 27.3% | 18% |
| Tool Calling | Yes | Yes |
| Extended Reasoning | Yes | Yes |
About these models
#8Kimi K2.6
Moonshot AI
Kimi K2.6 is Moonshot AI's reasoning-capable model: $0.95/$4 per 1M input/output tokens, 262K token context window, 27.3% on SWE-Bench Pro.
#4DeepSeek V4 Pro
DeepSeek
DeepSeek V4 Pro is DeepSeek's reasoning-capable model: $0.43/$0.87 per 1M input/output tokens, 1M token context window, 18% on SWE-Bench Pro.