DeepSeek V4 Pro vs Kimi K2.6
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | DeepSeek-V4-Pro | Kimi-K2.6 |
|---|---|---|
| CostLower is better · Published-token output estimate | #9 of 36$0.054 per LiveBench case | #17 of 36$0.095 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Kimi-K2.6 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,451.00100% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,455.01100% of row best · rating · kimi-k2.6; 95% CI [1450.48846324, 1459.52803920]; votes 37573; rank 34 |
| LiveBench2026-06-25 · overall · leader | 76.79100% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 74.1897% of row best · percent · kimi-k2.6-thinking · 27,001 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Kimi-K2.6 |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Pro | Kimi K2 6 |
| Model | DeepSeek-V4-Pro | Kimi-K2.6 |
| Version | DeepSeek-V4-Pro | Kimi-K2.6 |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-04-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 1T |
| Active parameters | 49B | 32B |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
17 comparable fields · 12 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Kimi K2.6 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Kimi K2.6 FAQs
Is DeepSeek V4 Pro or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Kimi K2.6?+
DeepSeek V4 Pro is $0.66 and Kimi K2.6 is $0.75 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and Kimi K2.6 is $3.50 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or Kimi K2.6?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro or Kimi K2.6?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can DeepSeek V4 Pro or Kimi K2.6 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Kimi K2.6 is open weight.
Can DeepSeek V4 Pro and Kimi K2.6 understand images?+
DeepSeek V4 Pro is not documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Kimi K2.6?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Kimi K2.6 is —.
Do DeepSeek V4 Pro and Kimi K2.6 support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Kimi K2.6?+
DeepSeek V4 Pro has 6 sourced provider routes; Kimi K2.6 has 5, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Kimi K2.6?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.