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GPT-5 Mini vs Ministral 3 3B 2512

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-5 Mini and Ministral 3 3B 2512.

OpenAI

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

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Mistral

Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

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Technical Specifications

SpecificationGPT-5 MiniMinistral 3 3B 2512
ProviderOpenAIMistral
Context Window400,000 tokens131,072 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072025-12-02

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

Ministral 3 3B 2512

$0.10

Output Price per Million Tokens

GPT-5 Mini

$2.00

Ministral 3 3B 2512

$0.10

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
8650.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512
HumanEvalPython coding & logic synthesis
8800.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512
MATHComplex mathematical problem solving
8250.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512
GPQAGraduate-level expert reasoning
6800.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512
HellaSwagCommonsense reasoning and inference
9550.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
GPT-5 Mini
Ministral 3 3B 2512

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

Ministral 3 3B 2512 Quirks & Gotchas

No developer gotchas reported.