DeepSeek V4 Pro vs Kimi K2.7 Code

API pricing, context window and capabilities for DeepSeek V4 Pro and Kimi K2.7 Code, side by side. Prices are the cheapest serving route per 1M tokens, verified against LiteLLM and OpenRouter.

Verdict

computed from the published numbers

DeepSeek V4 Pro wins on price, on intelligence and on context window. Kimi K2.7 Code wins on coding.

Price
DeepSeek V4 Pro
Coding
Kimi K2.7 Code
Intelligence
DeepSeek V4 Pro
Context window
DeepSeek V4 Pro

Key takeaways

who wins on what, from the published numbers

DeepSeek V4 Pro wins

  • Cheaper input ($0.43 vs $0.95 /1M)
  • Cheaper output ($0.87 vs $4.00 /1M)
  • Larger context window (1M vs 262K)
  • Higher max output (384K vs 262K)
  • More serving providers (4 vs 1)
  • Supports prompt caching
  • Supports structured output

Kimi K2.7 Code wins

No clear edge on the tracked metrics.

Cheaper overall
DeepSeek V4 Pro
$0.43 + $0.87 /1M
Larger context
DeepSeek V4 Pro
1M
More providers
DeepSeek V4 Pro
4 providers

Pricing & specs

cheapest serving route · per 1M tokens
DeepSeek V4 ProKimi K2.7 Code
Input $/1M$0.43 best$0.95
Output $/1M$0.87 best$4.00
Context window1M best262K
Max output384K best262K
Serving providers4 best1
Released2026-04-24 2026-06-13

Benchmarks

Artificial Analysis indices, side by side
DeepSeek V4 ProKimi K2.7 Code
Intelligence44.3 best42.0
Coding59.4 60.8 best
GPQA Diamond89% 90% best
Output speed75 t/s best45 t/s
Latency (TTFT)7.80s best39.31s

Cost calculator

choose a serving route for each side
Input tokens / month
Output tokens / month
DeepSeek V4 Pro
via Tencent
$3.04
Kimi K2.7 Code
via Cloudflare
$8.75

Capabilities

feature support, side by side
FeatureDeepSeek V4 ProKimi K2.7 Code
Vision
Tool use
Reasoning
Audio
Prompt caching
Structured output
Web search

Related comparisons

Frequently asked questions

Which is cheaper, DeepSeek V4 Pro or Kimi K2.7 Code?
DeepSeek V4 Pro is cheaper for input ($0.43 vs $0.95 per 1M tokens). DeepSeek V4 Pro is cheaper for output ($0.87 vs $4.00 per 1M tokens).
What is the context window difference between DeepSeek V4 Pro and Kimi K2.7 Code?
DeepSeek V4 Pro has a 1M-token context window and Kimi K2.7 Code has 262K tokens, so DeepSeek V4 Pro can take a larger prompt.
How do DeepSeek V4 Pro and Kimi K2.7 Code compare on benchmarks?
On the tracked Artificial Analysis indices, Kimi K2.7 Code leads on coding, and DeepSeek V4 Pro leads on intelligence.
Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily

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