| Signal | GPT-5.5 Pro | Delta | MiniMax M3 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 92 | +18 | |
Pricing | 5 | -94 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 85 | -10 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
90.3
current score
GPT-5.5 Pro
right now
74.6
current score
OpenAI
MiniMax
MiniMax M3 saves you $11910.00/month
That's $142920.00/year compared to GPT-5.5 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.5 Pro | MiniMax M3 | Winner |
|---|---|---|---|
| Overall Score | 90 | 75 | GPT-5.5 Pro |
| Rank | #11 | #70 | GPT-5.5 Pro |
| Quality Rank | #11 | #70 | GPT-5.5 Pro |
| Adoption Rank | #11 | #70 | GPT-5.5 Pro |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 1049K | GPT-5.5 Pro |
| Pricing | $30.00/$180.00/M | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.5 Pro |
| Benchmarks | 92 | 74 | GPT-5.5 Pro |
| Pricing | 5 | 99 | MiniMax M3 |
| Context window size | 86 | 86 | GPT-5.5 Pro |
| Recency | 100 | 100 | GPT-5.5 Pro |
| Output Capacity | 85 | 95 | MiniMax M3 |
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 90/100 (rank #11), placing it in the top 97% of all 290 models tracked.
Scores 75/100 (rank #70), placing it in the top 76% of all 290 models tracked.
GPT-5.5 Pro has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
MiniMax M3 offers 99% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $3150.00/month with GPT-5.5 Pro - a $3127.50 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 M3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (90/100) 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
GPT-5.5 Pro clearly outperforms MiniMax M3 with a significant 15.700000000000003-point lead. For most general use cases, GPT-5.5 Pro is the stronger choice. However, MiniMax M3 may still excel in niche scenarios.
Best for Quality
GPT-5.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M3
99% lower pricing; better value at scale
Best for Reliability
GPT-5.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.5 Pro
Stronger community support and better developer experience
Best for Production
GPT-5.5 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.5 Pro | MiniMax M3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
MiniMax
MiniMax M3 saves you $268.02/month
That's 99% cheaper than GPT-5.5 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 | GPT-5.5 Pro | MiniMax M3 |
|---|---|---|
| Context Window | 1.1M | 1.0M |
| Max Output Tokens | 128,000 | 512,000 |
| Open Source | No | No |
| Created | Apr 24, 2026 | May 31, 2026 |