← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

DeepSeek R1 vs GPT-4o (2024-11-20)

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 R1 and GPT-4o (2024-11-20).

DeepSeek

DeepSeek R1

A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.

View Full Specs
OpenAI

GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

View Full Specs

Technical Specifications

SpecificationDeepSeek R1GPT-4o (2024-11-20)
ProviderDeepSeekOpenAI
Context Window163,840 tokens128,000 tokens
Agent Suitability78/100N/A
Time to First Token (TTFT)1800 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-01-202024-11-20

API Pricing Comparison

Input Price per Million Tokens

DeepSeek R1

$0.70

GPT-4o (2024-11-20)

$2.50

Output Price per Million Tokens

DeepSeek R1

$2.50

GPT-4o (2024-11-20)

$10.00

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
9080.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)
HumanEvalPython coding & logic synthesis
9280.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)
MATHComplex mathematical problem solving
9310.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)
GPQAGraduate-level expert reasoning
6210.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)
HellaSwagCommonsense reasoning and inference
9050.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)
MT-BenchMulti-turn conversation flow quality
935.0%vsN/A
DeepSeek R1
GPT-4o (2024-11-20)

DeepSeek R1 Quirks & Gotchas

  • β–ΈReasoning model β€” not designed for high-frequency tool calling
  • β–ΈPair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only

GPT-4o (2024-11-20) Quirks & Gotchas

No developer gotchas reported.