DeepSeek V4 Pro 0813 vs Kimi K2 Thinking
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 21, 2026 | $0.60Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 21, 2026 | $2.50Openrouter ↗ · 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-Thinking |
|---|---|---|
| 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 | 78.5593% of row best · points · Kimi K2 Thinking · 7,821 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo 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-Thinking |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Pro | Kimi K2 Thinking |
| Model | DeepSeek-V4-Pro-0813 | Kimi-K2-Thinking |
| Version | DeepSeek-V4-Pro-0813 | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2026-08-13 | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| 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) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | chat, generation, reasoning, tools |
DeepSeek V4 Pro 0813 Capabilities
Kimi K2 Thinking Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Kimi K2 Thinking FAQs
Is DeepSeek V4 Pro 0813 or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Kimi K2 Thinking, 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 Thinking?+
DeepSeek V4 Pro 0813 is $1.30 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Kimi K2 Thinking is $2.50 per million tokens, so Kimi K2 Thinking is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or Kimi K2 Thinking?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro 0813 or Kimi K2 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Kimi K2 Thinking is open weight.
Can DeepSeek V4 Pro 0813 and Kimi K2 Thinking understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro 0813 or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Kimi K2 Thinking is 131K.
Do DeepSeek V4 Pro 0813 and Kimi K2 Thinking support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or Kimi K2 Thinking?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Kimi K2 Thinking has 2, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Kimi K2 Thinking?+
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.