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GPT Audio 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 Audio and Mistral Nemo.

OpenAI

GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

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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 AudioMistral 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 Date2026-01-192024-07-19

API Pricing Comparison

Input Price per Million Tokens

GPT Audio

$2.50

Mistral Nemo

$0.02

Output Price per Million Tokens

GPT Audio

$10.00

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 Audio Quirks & Gotchas

No developer gotchas reported.

Mistral Nemo Quirks & Gotchas

No developer gotchas reported.