Model Comparison

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

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

Mistral AI

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

OpenAI

GPT-4

OpenAI

2023-06-13

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

1 year newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4

Input:$30.00
Output:$60.00
Mistral AI

Mistral NeMo Instruct

$89.70 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4

Max Context:65.5K
Mistral AI

Mistral NeMo Instruct

Larger context
Max Context:256.0K
Parameters:12.0B

Average performance across 3 common benchmarks

OpenAI

GPT-4

+13.6%
Average Score:89.7%
Mistral AI

Mistral NeMo Instruct

Average Score:76.1%

Performance comparison across key benchmark categories

OpenAI

GPT-4

reasoning
+12.9%
93.0%
general
+15.4%
76.2%
Mistral AI

Mistral NeMo Instruct

reasoning
80.2%
general
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Mistral AI

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
OpenAI

GPT-4

+13.6%
Avg Score:89.7%
Providers:2
Mistral AI

Mistral NeMo Instruct

Avg Score:76.1%
Providers:2