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GPT-4o (2024-05-13) vs Mistral Nemo

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 GPT-4o (2024-05-13) and Mistral Nemo.

OpenAI

GPT-4o (2024-05-13)

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

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Mistral

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

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Technical Specifications

SpecificationGPT-4o (2024-05-13)Mistral Nemo
ProviderOpenAIMistral
Context Window128,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-05-132024-07-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4o (2024-05-13)

$5.00

Mistral Nemo

$0.02

Output Price per Million Tokens

GPT-4o (2024-05-13)

$15.00

Mistral Nemo

$0.03

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.

GPT-4o (2024-05-13) Quirks & Gotchas

No developer gotchas reported.

Mistral Nemo Quirks & Gotchas

No developer gotchas reported.