Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

2024-12-17

DeepSeek-V3

DeepSeek

2024-12-25

8 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-V3

$73.63 cheaper

Input:$0.27

Output:$1.10

Input:$15.00

Output:$60.00

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Max Context:262.1K

Parameters:671.0B

Larger context

Max Context:300.0K

Average performance across 5 common benchmarks

DeepSeek-V3

Average Score:50.7%

+15.7%

Average Score:66.4%

Performance comparison across key benchmark categories

DeepSeek-V3

math

+18.2%

90.2%

code

73.2%

general

65.1%

math

72.0%

code

+14.9%

88.1%

general

+6.7%

71.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

2 providers

Azure

Throughput: 16 tok/s

Latency: 0.54ms

OpenAI

Throughput: 66 tok/s

Latency: 16.2ms

DeepSeek-V3

Avg Score:50.7%

Providers:1

+15.7%

Avg Score:66.4%

Providers:2