DeepSeek V4 Pro 0813 vs Kimi K2.7 Code
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Kimi K2.7 CodeMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #33 of 5727.0 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 9.0–75.7 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #8 of 27$0.044 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #23 of 2737.8 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 28.8–62.2 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Oct 20, 2026 | $0.6712Openrouter ↗ · Oct 20, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Oct 20, 2026 | $3.35Openrouter ↗ · Oct 20, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 K2.7 Code |
|---|---|---|
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 71.4587% of row best · percent · kimi-k2.7-code · 13,007 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 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 K2.7 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 |
DeepSeek V4 Pro 0813 Capabilities
Kimi K2.7 Code Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4-Pro-BaseDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | cross-developer peerstext | |
DeepSeek-V4-Pro-0813DeepSeek | vs | cross-developer peerstext | |
DeepSeek-V4-Pro-0813DeepSeek | vs | GLM-5.2Z.ai | cross-developer peerstext |
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 $0.6712 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 $3.35 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 1,048,576 tokens and Kimi K2.7 Code supports 262,144 tokens.
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 sourced 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 model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
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.