DeepSeek V4 Pro 0813 vs Kimi K2.7 Code
Why this pair: Current open-weight coding and agentic releases from Moonshot AI and DeepSeek
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-0813 | Kimi K2.7 Code |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Pro | Kimi K2 7 |
| Model | DeepSeek-V4-Pro-0813 | Kimi K2.7 Code |
| Version | DeepSeek-V4-Pro-0813 | Kimi K2.7 Code |
| Lifecycle | active | active |
| Released | 2026-08-13 | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 1T |
| Active parameters | 49B | 32B |
| License | mit | modified-mit |
| 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), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | agents, chat, coding, reasoning, tools, vision |
17 comparable fields · 12 material differences · Editorially curated pair passes the primary-source comparison gate
DeepSeek V4 Pro 0813 Capabilities
Kimi K2.7 Code Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Kimi K2.7 Code FAQs
Is DeepSeek V4 Pro 0813 or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Kimi K2.7 Code, 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 K2.7 Code?+
DeepSeek V4 Pro 0813 is $1.30 and Kimi K2.7 Code is $0.66 per million tokens, so Kimi K2.7 Code is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Kimi K2.7 Code is $3.40 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 K2.7 Code?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Kimi K2.7 Code supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Kimi K2.7 Code?+
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 K2.7 Code be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Kimi K2.7 Code is open weight.
Can DeepSeek V4 Pro 0813 and Kimi K2.7 Code understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro 0813 or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Kimi K2.7 Code is —.
Do DeepSeek V4 Pro 0813 and Kimi K2.7 Code support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Kimi K2.7 Code: 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 K2.7 Code?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Kimi K2.7 Code?+
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.