DeepSeek V4 Pro vs Kimi K2 Thinking
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #19 of 5757.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 38.6–72.0 | UnrankedNot in the 57-model eligible cohort |
| CostLower is better · Published-token output estimate | #11 of 27$0.054 per LiveBench case | UnrankedNot in the 27-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.9 | #11 of 2751.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.9–58.5 | UnrankedNot in the 27-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | $0.60Openrouter ↗ · Oct 20, 2026 |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | $2.50Openrouter ↗ · Oct 20, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 28, 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
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Kimi-K2-Thinking |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Pro | Kimi K2 Thinking |
| Model | DeepSeek-V4-Pro | Kimi-K2-Thinking |
| Version | DeepSeek-V4-Pro | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 1.03T |
| 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) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek V4 Pro Capabilities
Kimi K2 Thinking Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
| vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext | |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | cross-developer peerstext | |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.2Z.ai | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Kimi K2 Thinking FAQs
Is DeepSeek V4 Pro or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 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 or Kimi K2 Thinking?+
DeepSeek V4 Pro is $0.66 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and Kimi K2 Thinking is $2.50 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or Kimi K2 Thinking?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,048,576 tokens and Kimi K2 Thinking supports 262,144 tokens.
Which performs better in benchmarks, DeepSeek V4 Pro 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 or Kimi K2 Thinking be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek V4 Pro is open weight; Kimi K2 Thinking is open weight.
Can DeepSeek V4 Pro and Kimi K2 Thinking understand images?+
DeepSeek V4 Pro 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 or Kimi K2 Thinking?+
Kimi K2 Thinking has a sourced maximum output of 131,072 tokens; DeepSeek V4 Pro's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek V4 Pro and Kimi K2 Thinking support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Kimi K2 Thinking?+
DeepSeek V4 Pro has 6 sourced provider routes; Kimi K2 Thinking has 2, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 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.