Model Comparison

MiniMax M1 80K vs o1-mini

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K is 5.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M1 80K outperforms in 2 benchmarks (GPQA, MATH-500), while o1-mini is better at 0 benchmarks.

MiniMax M1 80K significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M1 80K costs less

For input processing, MiniMax M1 80K ($0.55/1M tokens) is 5.5x cheaper than o1-mini ($3.00/1M tokens).

For output processing, MiniMax M1 80K ($2.20/1M tokens) is 5.5x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than MiniMax M1 80K.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to o1-mini's 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, while o1-mini uses a proprietary license.

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

MiniMax M1 80K

MIT

Open weights

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while o1-mini was released on 2024-09-12.

MiniMax M1 80K is 9 months newer than o1-mini.

MiniMax M1 80K

Jun 16, 2025

10 months ago

9mo newer
o1-mini

Sep 12, 2024

1.6 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

MiniMax M1 80K is available from Novita. o1-mini is available from OpenAI, Azure.

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (70.0% vs 60.0%)
Higher MATH-500 score (96.8% vs 90.0%)
OpenAI

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
OpenAI
o1-mini

FAQ

Common questions about MiniMax M1 80K vs o1-mini

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K is made by MiniMax and o1-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
MiniMax M1 80K is 5.5x cheaper for input tokens. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita. o1-mini costs $3.00/M input and $12.00/M output via openai.
MiniMax M1 80K supports 1.0M tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 128K), input pricing ($0.55 vs $3.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
MiniMax M1 80K is developed by MiniMax and o1-mini is developed by OpenAI.