| Signal | MiniMax M2.5 | Delta | OpenAI GPT Mini Latest |
|---|---|---|---|
Capabilities | 67 | -33 | |
Benchmarks | 80 | +80 | |
Pricing | 99 | +3 | |
Context window size | 84 | -5 | |
Recency | 100 | -- | |
Output Capacity | 88 | +3 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
78.2
current score
MiniMax M2.5
right now
40
current score
MiniMax
~openai
MiniMax M2.5 saves you $227.50/month
That's $2730.00/year compared to OpenAI GPT Mini Latest at your current usage level of 100K calls/month.
| Metric | MiniMax M2.5 | OpenAI GPT Mini Latest | Winner |
|---|---|---|---|
| Overall Score | 78 | 40 | MiniMax M2.5 |
| Rank | #50 | #192 | MiniMax M2.5 |
| Quality Rank | #50 | #192 | MiniMax M2.5 |
| Adoption Rank | #50 | #192 | MiniMax M2.5 |
| Parameters | -- | -- | -- |
| Context Window | 197K | 400K | OpenAI GPT Mini Latest |
| Pricing | $0.15/$1.15/M | $0.75/$4.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | OpenAI GPT Mini Latest |
| Benchmarks | 80 | -- | MiniMax M2.5 |
| Pricing | 99 | 96 | MiniMax M2.5 |
| Context window size | 84 | 89 | OpenAI GPT Mini Latest |
| Recency | 100 | 100 | MiniMax M2.5 |
| Output Capacity | 88 | 85 | MiniMax M2.5 |
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 78/100 (rank #50), placing it in the top 83% of all 290 models tracked.
Scores 40/100 (rank #192), placing it in the top 34% of all 290 models tracked.
MiniMax M2.5 has a 38-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
MiniMax M2.5 offers 75% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with MiniMax M2.5 vs $78.75/month with OpenAI GPT Mini Latest - a $59.25 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. MiniMax M2.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K 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 (78/100) 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 clearly outperforms OpenAI GPT Mini Latest with a significant 38.2-point lead. For most general use cases, MiniMax M2.5 is the stronger choice. However, OpenAI GPT Mini Latest may still excel in niche scenarios.
Best for Quality
MiniMax M2.5
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
75% 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 | OpenAI GPT Mini Latest |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
MiniMax
~openai
MiniMax M2.5 saves you $5.10/month
That's 76% cheaper than OpenAI GPT Mini Latest 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 | OpenAI GPT Mini Latest |
|---|---|---|
| Context Window | 197K | 400K |
| Max Output Tokens | 196,608 | 128,000 |
| Open Source | Yes | No |
| Created | Feb 12, 2026 | Apr 27, 2026 |