DeepSeek V4 Pro 0813 vs Kimi K2.6
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Kimi K2.6Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | #32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0 |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | #21 of 44$0.095 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | #24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 22, 2026 | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 22, 2026 | $3.50Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro-0813 | Kimi-K2.6 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,443.9599% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 | 1,454.92100% of row best · rating · kimi-k2.6; 95% CI [1450.40277919, 1459.43693683]; votes 37502; rank 38 |
| LiveBench2026-06-25 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 74.1891% of row best · percent · kimi-k2.6-thinking · 27,001 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.68100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case | 82.2497% of row best · points · Kimi K2.6 (thinking) · 18,080 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-0813 | Kimi-K2.6 |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Pro | Kimi K2 6 |
| Model | DeepSeek-V4-Pro-0813 | Kimi-K2.6 |
| Version | DeepSeek-V4-Pro-0813 | Kimi-K2.6 |
| Lifecycle | active | active |
| Released | 2026-08-13 | 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 | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | chat, generation, reasoning, tools |
DeepSeek V4 Pro 0813 Capabilities
Kimi K2.6 Capabilities
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|---|---|---|---|
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DeepSeek-V4-Pro-0813DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Kimi K2.6 FAQs
Is DeepSeek V4 Pro 0813 or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 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 0813 or Kimi K2.6?+
DeepSeek V4 Pro 0813 is $1.30 and Kimi K2.6 is $0.75 per million tokens, so Kimi K2.6 is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Kimi K2.6 is $3.50 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or Kimi K2.6?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 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 0813 or Kimi K2.6 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Kimi K2.6 is open weight.
Can DeepSeek V4 Pro 0813 and Kimi K2.6 understand images?+
DeepSeek V4 Pro 0813 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 0813 or Kimi K2.6?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Kimi K2.6 is —.
Do DeepSeek V4 Pro 0813 and Kimi K2.6 support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. 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 0813 or Kimi K2.6?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Kimi K2.6 has 5, so Kimi K2.6 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 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.