DeepSeek V4 Pro vs Kimi K2.6
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
DeepSeek V4 Pro clearly beats Kimi K2.6 on Input Price but clearly loses on SWE-Bench Pro Score — this pair is a priorities question, not a quality question.
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| Metric | DeepSeek V4 ProDeepSeek | Kimi K2.6Moonshot AI |
|---|---|---|
| Overall OptiSift Score | 51.8#4 | 32.9#8 |
| Input Price | $0.44 | $0.95 |
| Output Price | $0.87 | $4 |
| Cache Read Price | $0 | $0.16 |
| Context Window | 1M | 262K |
| Max Output Tokens | 384K | 262K |
| SWE-Bench Pro Score | 18% | 27.3% |
| Tool Calling | Yes | Yes |
| Extended Reasoning | Yes | Yes |
About these models
#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.
#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.