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DeepSeek

DeepSeek V4 Pro

VS
Moonshot AI (Kimi)

Kimi K2.7 Code

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 6.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 1.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
52.1%
Reasoning (gpqa-diamond)Winner (+)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Context WindowLarger
1M tokens
Model Specs

Kimi K2.7 Code

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.5%)
58.6%
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)1.3x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens

Frequently Asked Questions

Kimi K2.7 Code is cheaper than DeepSeek V4 Pro. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 1.3x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

Kimi K2.7 Code is better for coding tasks. It scores 58.6% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Pro which scores 52.1%.

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