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DeepSeek V4 Pro vs KAT-Coder-Pro V2

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V4 Pro and KAT-Coder-Pro V2.

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

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Kuaishou

KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions,...

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Technical Specifications

SpecificationDeepSeek V4 ProKAT-Coder-Pro V2
ProviderDeepSeekKuaishou
Context Window1,048,576 tokens256,000 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242026-03-27

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.43

KAT-Coder-Pro V2

$0.30

Output Price per Million Tokens

DeepSeek V4 Pro

$0.87

KAT-Coder-Pro V2

$1.20

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8850.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2
HumanEvalPython coding & logic synthesis
8900.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2
MATHComplex mathematical problem solving
7460.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2
GPQAGraduate-level expert reasoning
4900.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2
HellaSwagCommonsense reasoning and inference
8750.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2
MT-BenchMulti-turn conversation flow quality
918.0%vsN/A
DeepSeek V4 Pro
KAT-Coder-Pro V2

DeepSeek V4 Pro Quirks & Gotchas

  • MoE architecture — cold-start latency on first request, use keep-alive
  • Best cost-performance ratio of any frontier model — strong tool calling for agentic use

KAT-Coder-Pro V2 Quirks & Gotchas

No developer gotchas reported.