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DeepSeek V4 Pro vs GPT-4

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 GPT-4.

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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OpenAI

GPT-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

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Technical Specifications

SpecificationDeepSeek V4 ProGPT-4
ProviderDeepSeekOpenAI
Context Window1,048,576 tokens8,191 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242023-05-28

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.43

GPT-4

$30.00

Output Price per Million Tokens

DeepSeek V4 Pro

$0.87

GPT-4

$60.00

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
GPT-4
HumanEvalPython coding & logic synthesis
8900.0%vsN/A
DeepSeek V4 Pro
GPT-4
MATHComplex mathematical problem solving
7460.0%vsN/A
DeepSeek V4 Pro
GPT-4
GPQAGraduate-level expert reasoning
4900.0%vsN/A
DeepSeek V4 Pro
GPT-4
HellaSwagCommonsense reasoning and inference
8750.0%vsN/A
DeepSeek V4 Pro
GPT-4
MT-BenchMulti-turn conversation flow quality
918.0%vsN/A
DeepSeek V4 Pro
GPT-4

DeepSeek V4 Pro Quirks & Gotchas

  • โ–ธMoE architecture โ€” cold-start latency on first request, use keep-alive
  • โ–ธBest cost-performance ratio of any frontier model โ€” strong tool calling for agentic use

GPT-4 Quirks & Gotchas

No developer gotchas reported.