Model Comparison

GPT OSS 120B vs MiniMax M1 40K

GPT OSS 120B shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT OSS 120B outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks.

GPT OSS 120B shows notably better performance in the majority of benchmarks.

Wed May 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

339.2B diff

MiniMax M1 40K has 339.2B more parameters than GPT OSS 120B, making it 290.4% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
116.8B
GPT OSS 120B
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Wed May 27 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while MiniMax M1 40K uses MIT.

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

GPT OSS 120B

Apache 2.0

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while MiniMax M1 40K was released on 2025-06-16.

GPT OSS 120B is 2 months newer than MiniMax M1 40K.

GPT OSS 120B

Aug 5, 2025

9 months ago

1mo newer
MiniMax M1 40K

Jun 16, 2025

11 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Higher GPQA score (80.1% vs 69.2%)
Higher Humanity's Last Exam score (14.9% vs 7.2%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
MiniMax
MiniMax M1 40K

FAQ

Common questions about GPT OSS 120B vs MiniMax M1 40K.

Which is better, GPT OSS 120B or MiniMax M1 40K?

GPT OSS 120B shows notably better performance in the majority of benchmarks. GPT OSS 120B is made by OpenAI and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to MiniMax M1 40K in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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 OSS 120B and MiniMax M1 40K?

GPT OSS 120B supports 131K 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 OSS 120B and MiniMax M1 40K?

Key differences include licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and MiniMax M1 40K?

GPT OSS 120B is developed by OpenAI and MiniMax M1 40K is developed by MiniMax.