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MiniMax M3 vs o3 Pro

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 MiniMax M3 and o3 Pro.

MiniMax

MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

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OpenAI

o3 Pro

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

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Technical Specifications

SpecificationMiniMax M3o3 Pro
ProviderMiniMaxOpenAI
Context Window1,048,576 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-312025-06-10

API Pricing Comparison

Input Price per Million Tokens

MiniMax M3

$0.30

o3 Pro

$20.00

Output Price per Million Tokens

MiniMax M3

$1.20

o3 Pro

$80.00

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
8400.0%vsN/A
MiniMax M3
o3 Pro
HumanEvalPython coding & logic synthesis
8350.0%vsN/A
MiniMax M3
o3 Pro
MATHComplex mathematical problem solving
6200.0%vsN/A
MiniMax M3
o3 Pro
GPQAGraduate-level expert reasoning
4250.0%vsN/A
MiniMax M3
o3 Pro
HellaSwagCommonsense reasoning and inference
8520.0%vsN/A
MiniMax M3
o3 Pro
MT-BenchMulti-turn conversation flow quality
888.0%vsN/A
MiniMax M3
o3 Pro

MiniMax M3 Quirks & Gotchas

No developer gotchas reported.

o3 Pro Quirks & Gotchas

No developer gotchas reported.