Model Comparison

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

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

OpenAI

GPT-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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 Distill Llama 70B

DeepSeek

2025-01-20

OpenAI

GPT-5 nano

OpenAI

2025-08-07

6 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Llama 70B

Input:$0.10
Output:$0.40
OpenAI

GPT-5 nano

$0.05 cheaper
Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Max Context:256.0K
Parameters:70.6B
OpenAI

GPT-5 nano

Larger context
Max Context:528.0K

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Llama 70B

Average Score:65.2%
OpenAI

GPT-5 nano

+6.0%
Average Score:71.2%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+84.9%
94.5%
general
+15.8%
76.0%
OpenAI

GPT-5 nano

math
9.6%
general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
DeepSeek

DeepSeek R1 Distill Llama 70B

Avg Score:65.2%
Providers:1
OpenAI

GPT-5 nano

+6.0%
Avg Score:71.2%
Providers:2