Model Comparison

GPT OSS 120B High vs MiniMax M1 80KWhich is better in 2026?

GPT OSS 120B High shows notably better performance in the majority of benchmarks. GPT OSS 120B High is 4.8x cheaper per token.

Verdict: GPT OSS 120B High vs MiniMax M1 80K — which is better?

GPT OSS 120B High (by OpenAI) and MiniMax M1 80K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT OSS 120B High outperforms in 2 benchmarks (AIME 2025, GPQA), while MiniMax M1 80K is better at 1 benchmark (MMLU-Pro). GPT OSS 120B High shows notably better performance in the majority of benchmarks.

On price, GPT OSS 120B High is roughly 4.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M1 80K also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT OSS 120B High if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 4.8x cheaper per token
  • you want the most recent training data — it shipped Aug 2025

Choose MiniMax M1 80K if…

  • you process long inputs — it offers a 1,000,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT OSS 120B High outperforms in 2 benchmarks (AIME 2025, GPQA), while MiniMax M1 80K is better at 1 benchmark (MMLU-Pro).

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

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B High costs less

For input processing, GPT OSS 120B High ($0.10/1M tokens) is 5.5x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, GPT OSS 120B High ($0.50/1M tokens) is 4.4x cheaper than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than GPT OSS 120B High.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

339.2B diff

MiniMax M1 80K has 339.2B more parameters than GPT OSS 120B High, making it 290.4% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
116.8B
GPT OSS 120B High
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B High is licensed under Apache 2.0, while MiniMax M1 80K uses MIT.

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

GPT OSS 120B High

Apache 2.0

Open weights

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while MiniMax M1 80K was released on 2025-06-16.

GPT OSS 120B High is 2 months newer than MiniMax M1 80K.

GPT OSS 120B High

Aug 5, 2025

11 months ago

1mo newer
MiniMax M1 80K

Jun 16, 2025

1.1 years 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

Provider Availability

GPT OSS 120B High is available from OpenAI, Fireworks. MiniMax M1 80K is available from Novita.

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (92.5% vs 76.9%)
Higher GPQA score (80.9% vs 70.0%)
MiniMax
Larger context window (1,000,000 tokens)
Higher MMLU-Pro score (81.1% vs 80.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT OSS 120B High and MiniMax M1 80K side-by-side, then vote on the output you prefer.

GPT OSS 120B High
✓ Preferred
MiniMax M1 80K
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B High
MiniMax
MiniMax M1 80K

FAQ

Common questions about GPT OSS 120B High vs MiniMax M1 80K.

Which is better, GPT OSS 120B High or MiniMax M1 80K?

GPT OSS 120B High shows notably better performance in the majority of benchmarks. GPT OSS 120B High is made by OpenAI and MiniMax M1 80K 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 High compare to MiniMax M1 80K in benchmarks?

GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is GPT OSS 120B High cheaper than MiniMax M1 80K?

GPT OSS 120B High is 5.5x cheaper for input tokens. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for GPT OSS 120B High and MiniMax M1 80K?

GPT OSS 120B High supports 131K tokens and MiniMax M1 80K supports 1.0M 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 High and MiniMax M1 80K?

Key differences include context window (131K vs 1.0M), input pricing ($0.10 vs $0.55/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B High and MiniMax M1 80K?

GPT OSS 120B High is developed by OpenAI and MiniMax M1 80K is developed by MiniMax.

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