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GPT-5.1 Codex vs MiniMax M1 40K

GPT-5.1 Codex leads the LLM Stats Score 29.6 to 20.6.

OpenAI · MiniMax · Updated for 2026

Which is better?

GPT-5.1 Codex leads the overall LLM Stats Score 29.6 to 20.6, ranking #126 overall.

In the 1 individual benchmarks reported for both models, GPT-5.1 Codex wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5.1 Codex

  • overall performance matters — it scores 29.6 and ranks #126 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2025

Choose MiniMax M1 40K

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5.1 Codex
OpenAI
MiniMax M1 40K
MiniMax
Core performance indexes
LLM Stats Score
29.6
#126
20.6
#192
Reasoning
29.8
#118
20.8
#181
Coding
21.0
#91
8.1
#181
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Individual benchmarks

3 reported for GPT-5.1 Codex · 16 for MiniMax M1 40K

1 shared

GPT-5.1 Codex outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 40K is better at 0 benchmarks.

GPT-5.1 Codex significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.1 Codex specifies input context (400,000 tokens). Only GPT-5.1 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.1 Codex supports multimodal inputs, whereas MiniMax M1 40K does not.

GPT-5.1 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Codex

Text
Images
Audio
Video

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex is licensed under a proprietary license, while MiniMax M1 40K uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.1 Codex

Proprietary

Closed source

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while MiniMax M1 40K was released on 2025-06-16.

GPT-5.1 Codex is 5 months newer than MiniMax M1 40K.

GPT-5.1 Codex

Nov 19, 2025

9 months ago

5mo newer
MiniMax M1 40K

Jun 16, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while MiniMax M1 40K's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without MiniMax M1 40K's cutoff date.

GPT-5.1 Codex

Sep 2024

MiniMax M1 40K

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5.1 Codex and MiniMax M1 40K side-by-side, then vote on the output you prefer.

GPT-5.1 Codex
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about GPT-5.1 Codex vs MiniMax M1 40K.

Which is better, GPT-5.1 Codex or MiniMax M1 40K?

GPT-5.1 Codex leads the LLM Stats Score 29.6 to 20.6. GPT-5.1 Codex is made by OpenAI and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.1 Codex compare to MiniMax M1 40K in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for GPT-5.1 Codex and MiniMax M1 40K?

GPT-5.1 Codex supports 400K tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 Codex and MiniMax M1 40K?

Key differences include LLM Stats Score (29.6 vs 20.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex and MiniMax M1 40K?

GPT-5.1 Codex is developed by OpenAI and MiniMax M1 40K is developed by MiniMax.

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