| Signal | MiniMax M2.5 | Delta | o1-pro |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 67 | -14 | |
Pricing | 1 | -99 | |
Context window size | 84 | 0 | |
Recency | 100 | +36 | |
Output Capacity | 80 | -3 | |
| Overall Result | 1 wins | of 6 | 4 wins |
9
days higher
4
days
17
days higher
MiniMax
OpenAI
MiniMax M2.5 saves you $44923.50/month
That's $539082.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | MiniMax M2.5 | o1-pro | Winner |
|---|---|---|---|
| Overall Score | 76 | 76 | o1-pro |
| Rank | #110 | #109 | o1-pro |
| Quality Rank | #110 | #109 | o1-pro |
| Adoption Rank | #110 | #109 | o1-pro |
| Parameters | -- | -- | -- |
| Context Window | 197K | 200K | o1-pro |
| Pricing | $0.19/$1.15/M | $150.00/$600.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | MiniMax M2.5 |
| Benchmarks | 67 | 82 | o1-pro |
| Pricing | 1 | 100 | o1-pro |
| Context window size | 84 | 84 | o1-pro |
| Recency | 100 | 65 | MiniMax M2.5 |
| Output Capacity | 80 | 83 | o1-pro |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 76/100 (rank #110), placing it in the top 62% of all 290 models tracked.
Scores 76/100 (rank #109), placing it in the top 63% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
MiniMax M2.5 offers 100% better value per quality point. At 1M tokens/day, you'd spend $20.10/month with MiniMax M2.5 vs $11250.00/month with o1-pro - a $11229.90 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. MiniMax M2.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (76/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
MiniMax M2.5 and o1-pro are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
MiniMax M2.5
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
100% lower pricing; better value at scale
Best for Reliability
MiniMax M2.5
Higher uptime and faster response speeds
Best for Prototyping
MiniMax M2.5
Stronger community support and better developer experience
Best for Production
MiniMax M2.5
Wider enterprise adoption and proven at scale
by MiniMax
| Capability | MiniMax M2.5 | o1-pro |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
MiniMax
OpenAI
MiniMax M2.5 saves you $988.28/month
That's 100% cheaper than o1-pro at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | MiniMax M2.5 | o1-pro |
|---|---|---|
| Context Window | 197K | 200K |
| Max Output Tokens | 65,536 | 100,000 |
| Open Source | Yes | No |
| Created | Feb 12, 2026 | Mar 19, 2025 |
o1-pro scores 76/100 (rank #109) compared to MiniMax M2.5's 76/100 (rank #110), giving it a 0-point advantage. o1-pro is the stronger overall choice, though MiniMax M2.5 may excel in specific areas like cost efficiency.
MiniMax M2.5 is ranked #110 and o1-pro is ranked #109 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
MiniMax M2.5 is cheaper at $1.15/M output tokens vs o1-pro's $600.00/M output tokens - 521.7x more expensive. Input token pricing: MiniMax M2.5 at $0.19/M vs o1-pro at $150.00/M.
o1-pro has a larger context window of 200,000 tokens compared to MiniMax M2.5's 196,608 tokens. A larger context window means the model can process longer documents and conversations.