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DeepSeek V3 vs o1-pro

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 V3 and o1-pro.

DeepSeek

DeepSeek V3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

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OpenAI

o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

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Technical Specifications

SpecificationDeepSeek V3o1-pro
ProviderDeepSeekOpenAI
Context Window131,072 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-12-262025-03-19

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3

$0.20

o1-pro

$150.00

Output Price per Million Tokens

DeepSeek V3

$0.80

o1-pro

$600.00

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 V3
o1-pro
HumanEvalPython coding & logic synthesis
8900.0%vsN/A
DeepSeek V3
o1-pro
MATHComplex mathematical problem solving
7460.0%vsN/A
DeepSeek V3
o1-pro
GPQAGraduate-level expert reasoning
4900.0%vsN/A
DeepSeek V3
o1-pro
HellaSwagCommonsense reasoning and inference
8750.0%vsN/A
DeepSeek V3
o1-pro
MT-BenchMulti-turn conversation flow quality
918.0%vsN/A
DeepSeek V3
o1-pro

DeepSeek V3 Quirks & Gotchas

No developer gotchas reported.

o1-pro Quirks & Gotchas

No developer gotchas reported.