| Signal | o1-pro | Delta | MiMo-V2.5 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 77 | +6 | |
Pricing | 5 | -93 | |
Context window size | 76 | -10 | |
Recency | 56 | -44 | |
Output Capacity | 83 | -2 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
72.3
current score
o1-pro
right now
71.7
current score
OpenAI
Xiaomi
MiMo-V2.5 saves you $44860.00/month
That's $538320.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | o1-pro | MiMo-V2.5 | Winner |
|---|---|---|---|
| Overall Score | 72 | 72 | o1-pro |
| Rank | #76 | #78 | o1-pro |
| Quality Rank | #76 | #78 | o1-pro |
| Adoption Rank | #76 | #78 | o1-pro |
| Parameters | -- | -- | -- |
| Context Window | 200K | 1049K | MiMo-V2.5 |
| Pricing | $150.00/$600.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | MiMo-V2.5 |
| Benchmarks | 77 | 70 | o1-pro |
| Pricing | 5 | 98 | MiMo-V2.5 |
| Context window size | 76 | 86 | MiMo-V2.5 |
| Recency | 56 | 100 | MiMo-V2.5 |
| Output Capacity | 83 | 85 | MiMo-V2.5 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 72/100 (rank #76), placing it in the top 74% of all 290 models tracked.
Scores 72/100 (rank #78), placing it in the top 73% of all 290 models tracked.
With only a 1-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.
MiMo-V2.5 offers 100% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with MiMo-V2.5 vs $11250.00/month with o1-pro - a $11214.00 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. MiMo-V2.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (72/100) 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
o1-pro and MiMo-V2.5 are extremely close in overall performance (only 0.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
o1-pro
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2.5
100% lower pricing; better value at scale
Best for Reliability
o1-pro
Higher uptime and faster response speeds
Best for Prototyping
o1-pro
Stronger community support and better developer experience
Best for Production
o1-pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | o1-pro | MiMo-V2.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Xiaomi
MiMo-V2.5 saves you $986.88/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 | o1-pro | MiMo-V2.5 |
|---|---|---|
| Context Window | 200K | 1.0M |
| Max Output Tokens | 100,000 | 131,072 |
| Open Source | No | Yes |
| Created | Mar 19, 2025 | Apr 22, 2026 |