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DeepSeek

DeepSeek V4 Pro

VS
Moonshot AI (Kimi)

kimi-k2.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.6 is the premium intelligence choice, scoring 6.5% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.6 fully justifies the cost.

Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

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

Cost & Performance

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

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.5%)
58.6%
Reasoning (gpqa-diamond)Winner (+2.5%)
90.5%

Cost & Performance

Cost (per 1M tokens)1.3x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed4.9x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

kimi-k2.6 is cheaper than DeepSeek V4 Pro. kimi-k2.6 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-k2.6 is faster than DeepSeek V4 Pro. kimi-k2.6 generates 193 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

kimi-k2.6 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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