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DeepSeekDeepSeek V4 ProVSMoonshot AI (Kimi)Kimi K3

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

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing DeepSeek V4 Pro and Kimi K3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

DeepSeek V4 Pro

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
52.1%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
88%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Context WindowLarger
1.05M tokens
Model Specs

Kimi K3

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+5.5%)
93.5%

graduate-level science QA

Cost & Context

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

Frequently Asked Questions about DeepSeek V4 Pro vs Kimi K3

Kimi K3 is cheaper than DeepSeek V4 Pro. Kimi K3 has a blended cost of $1.71/1M tokens, which is about 1.3x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

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