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GPT-5 Mini vs MiniMax-01

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 MiniMax-01.

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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MiniMax

MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

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Technical Specifications

SpecificationGPT-5 MiniMiniMax-01
ProviderOpenAIMiniMax
Context Window400,000 tokens1,000,192 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-08-072025-01-15

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

MiniMax-01

$0.20

Output Price per Million Tokens

GPT-5 Mini

$2.00

MiniMax-01

$1.10

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%vs8100.0%
GPT-5 Mini
MiniMax-01
HumanEvalPython coding & logic synthesis
8800.0%vs7820.0%
GPT-5 Mini
MiniMax-01
MATHComplex mathematical problem solving
8250.0%vs5050.0%
GPT-5 Mini
MiniMax-01
GPQAGraduate-level expert reasoning
6800.0%vs3700.0%
GPT-5 Mini
MiniMax-01
HellaSwagCommonsense reasoning and inference
9550.0%vs8300.0%
GPT-5 Mini
MiniMax-01
MT-BenchMulti-turn conversation flow quality
900.0%vs855.0%
GPT-5 Mini
MiniMax-01

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

MiniMax-01 Quirks & Gotchas

No developer gotchas reported.