Model Comparison

GPT OSS 20B High vs MiniMax M2Which is better in 2026?

Both models are evenly matched across the benchmarks. GPT OSS 20B High is 2.6x cheaper per token.

Verdict: GPT OSS 20B High vs MiniMax M2 — which is better?

GPT OSS 20B High (by OpenAI) and MiniMax M2 (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 20B High outperforms in 1 benchmarks (AIME 2025), while MiniMax M2 is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

On price, GPT OSS 20B High is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M2 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 20B High if…

  • cost matters — it's about 2.6x cheaper per token

Choose MiniMax M2 if…

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B High outperforms in 1 benchmarks (AIME 2025), while MiniMax M2 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B High costs less

For input processing, GPT OSS 20B High ($0.10/1M tokens) is 3.0x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, GPT OSS 20B High ($0.50/1M tokens) is 2.4x cheaper than MiniMax M2 ($1.20/1M tokens).

In conclusion, MiniMax M2 is more expensive than GPT OSS 20B High.*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
OpenAI
GPT OSS 20B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

209.1B diff

MiniMax M2 has 209.1B more parameters than GPT OSS 20B High, making it 1000.5% larger.

OpenAI
GPT OSS 20B High
20.9Bparameters
MiniMax
MiniMax M2
230.0Bparameters
20.9B
GPT OSS 20B High
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to GPT OSS 20B High's 131,072 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while GPT OSS 20B High is limited to 131,072 tokens.

OpenAI
GPT OSS 20B High
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 20B High is licensed under Apache 2.0, while MiniMax M2 uses MIT.

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

GPT OSS 20B High

Apache 2.0

Open weights

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 20B High was released on 2025-08-05, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 3 months newer than GPT OSS 20B High.

GPT OSS 20B High

Aug 5, 2025

10 months ago

MiniMax M2

Oct 27, 2025

8 months ago

2mo newer

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 20B High is available from OpenAI. MiniMax M2 is available from MiniMax, Novita.

GPT OSS 20B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 (98.7% vs 78.0%)
MiniMax
Larger context window (1,000,000 tokens)
Higher GPQA score (78.0% vs 74.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B High
MiniMax
MiniMax M2

FAQ

Common questions about GPT OSS 20B High vs MiniMax M2.

Which is better, GPT OSS 20B High or MiniMax M2?

Both models are evenly matched across the benchmarks. GPT OSS 20B High is made by OpenAI and MiniMax M2 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 20B High compare to MiniMax M2 in benchmarks?

GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is GPT OSS 20B High cheaper than MiniMax M2?

GPT OSS 20B High is 3.0x cheaper for input tokens. GPT OSS 20B High costs $0.10/M input and $0.50/M output via openai. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for GPT OSS 20B High and MiniMax M2?

GPT OSS 20B High supports 131K tokens and MiniMax M2 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 20B High and MiniMax M2?

Key differences include context window (131K vs 1.0M), input pricing ($0.10 vs $0.30/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B High and MiniMax M2?

GPT OSS 20B High is developed by OpenAI and MiniMax M2 is developed by MiniMax.

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