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GPT-5.1-Codex-Max vs MiniMax M2.1

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-5.1-Codex-Max and MiniMax M2.1.

OpenAI

GPT-5.1-Codex-Max

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...

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MiniMax

MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...

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Technical Specifications

SpecificationGPT-5.1-Codex-MaxMiniMax M2.1
ProviderOpenAIMiniMax
Context Window400,000 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-042025-12-23

API Pricing Comparison

Input Price per Million Tokens

GPT-5.1-Codex-Max

$1.25

MiniMax M2.1

$0.30

Output Price per Million Tokens

GPT-5.1-Codex-Max

$10.00

MiniMax M2.1

$1.20

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-5.1-Codex-Max Quirks & Gotchas

No developer gotchas reported.

MiniMax M2.1 Quirks & Gotchas

No developer gotchas reported.