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DeepSeek

DeepSeek V4 Flash

VS
Moonshot AI (Kimi)

kimi-k2.5

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.5 is the premium intelligence choice, scoring 1.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 6.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.5 fully justifies the cost.

Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
49.1%
Reasoning (gpqa-diamond)
80%

Cost & Performance

Cost (per 1M tokens)6.9x cheaper
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+1.6%)
50.7%
Reasoning (gpqa-diamond)Winner (+7.6%)
87.6%

Cost & Performance

Cost (per 1M tokens)
$1.20Input: $0.60 | Output: $3.00
Speed1.8x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than kimi-k2.5. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 6.9x cheaper than kimi-k2.5 at $1.20/1M tokens.

kimi-k2.5 is faster than DeepSeek V4 Flash. kimi-k2.5 generates 193 tokens per second (tps) compared to DeepSeek V4 Flash which generates 109.1 tokens per second.

kimi-k2.5 is better for coding tasks. It scores 50.7% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Flash which scores 49.1%.

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