DeepSeek V4 Pro 0423 vs Kimi K2.7 Code

API pricing, context window and capabilities for DeepSeek V4 Pro 0423 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 0423 wins on price, on coding, on intelligence and on context window.

Price
DeepSeek V4 Pro 0423
Coding
DeepSeek V4 Pro 0423
Intelligence
DeepSeek V4 Pro 0423
Context window
DeepSeek V4 Pro 0423

Key takeaways

who wins on what, from the published numbers

DeepSeek V4 Pro 0423 wins

  • Cheaper input ($0.43 vs $0.66 /1M)
  • Cheaper output ($0.87 vs $3.40 /1M)
  • Larger context window (1M vs 262K)
  • Higher max output (512K vs 262K)
  • More serving providers (10 vs 7)

Kimi K2.7 Code wins

  • Supports vision
Cheaper overall
DeepSeek V4 Pro 0423
$0.43 + $0.87 /1M
Larger context
DeepSeek V4 Pro 0423
1M
More providers
DeepSeek V4 Pro 0423
10 providers

Pricing & specs

cheapest serving route · per 1M tokens
DeepSeek V4 Pro 0423Kimi K2.7 Code
Input $/1M$0.43 best$0.66
Output $/1M$0.87 best$3.40
Context window1M best262K
Max output512K best262K
Serving providers10 best7
Released2026-04-24 2026-06-13

Benchmarks

Artificial Analysis indices, side by side
DeepSeek V4 Pro 0423Kimi K2.7 Code
Intelligence53.2 best43.0
Coding68.8 best60.8
GPQA Diamond93% best90%
Output speed68 t/s best46 t/s
Latency (TTFT)1.75s best2.81s

Cost calculator

choose a serving route for each side
Input tokens / month
Output tokens / month
DeepSeek V4 Pro 0423
via Tencent
$3.04
Kimi K2.7 Code
via OpenRouter
$6.70

Capabilities

feature support, side by side
FeatureDeepSeek V4 Pro 0423Kimi 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 0423 or Kimi K2.7 Code?
DeepSeek V4 Pro 0423 is cheaper for input ($0.43 vs $0.66 per 1M tokens). DeepSeek V4 Pro 0423 is cheaper for output ($0.87 vs $3.40 per 1M tokens).
What is the context window difference between DeepSeek V4 Pro 0423 and Kimi K2.7 Code?
DeepSeek V4 Pro 0423 has a 1M-token context window and Kimi K2.7 Code has 262K tokens, so DeepSeek V4 Pro 0423 can take a larger prompt.
How do DeepSeek V4 Pro 0423 and Kimi K2.7 Code compare on benchmarks?
On the tracked Artificial Analysis indices, DeepSeek V4 Pro 0423 leads on coding, and DeepSeek V4 Pro 0423 leads on intelligence.
Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily

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