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GPT-4o-mini vs Mistral Medium 3.1

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-mini and Mistral Medium 3.1.

OpenAI

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

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Mistral

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

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Technical Specifications

SpecificationGPT-4o-miniMistral Medium 3.1
ProviderOpenAIMistral
Context Window128,000 tokens131,072 tokens
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-182025-08-13

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

GPT-4o-mini

$0.60

Mistral Medium 3.1

$2.00

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.

MMLUGeneral knowledge & multi-task understanding
8200.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1
HumanEvalPython coding & logic synthesis
8400.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1
MATHComplex mathematical problem solving
7020.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1
GPQAGraduate-level expert reasoning
4500.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1
HellaSwagCommonsense reasoning and inference
8470.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1
MT-BenchMulti-turn conversation flow quality
860.0%vsN/A
GPT-4o-mini
Mistral Medium 3.1

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.