โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-4.1 Mini vs Mistral Large

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-4.1 Mini and Mistral Large.

OpenAI

GPT-4.1 Mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

View Full Specs
Mistral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

View Full Specs

Technical Specifications

SpecificationGPT-4.1 MiniMistral Large
ProviderOpenAIMistral
Context Window1,047,576 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-142024-02-26

API Pricing Comparison

Input Price per Million Tokens

GPT-4.1 Mini

$0.40

Mistral Large

$2.00

Output Price per Million Tokens

GPT-4.1 Mini

$1.60

Mistral Large

$6.00

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-4.1 Mini Quirks & Gotchas

No developer gotchas reported.

Mistral Large Quirks & Gotchas

No developer gotchas reported.