Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

OpenAI

o3-pro

OpenAI

o3-pro is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek

DeepSeek-R1

DeepSeek

2025-01-20

OpenAI

o3-pro

OpenAI

2025-06-10

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1

$97.26 cheaper
Input:$0.55
Output:$2.19
OpenAI

o3-pro

Input:$20.00
Output:$80.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1

Max Context:262.1K
Parameters:671.0B
OpenAI

o3-pro

Larger context
Max Context:300.0K
Knowledge Cutoff
Training data recency comparison

o3-pro

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s
Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s
Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s
Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
OpenAI

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms
DeepSeek

DeepSeek-R1

Avg Score:0.0%
Providers:4
OpenAI

o3-pro

Avg Score:0.0%
Providers:1