GPT-5.5
VS
MiniMax M2.7
GPT-5.5 vs MiniMax M2.7: which wins at real work?
22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.
GPT-5.5 wins 22 of 22 task areas we tested; MiniMax M2.7 takes 0. MiniMax M2.7 costs 38.9× less per token ($0.9 vs $35 per 1M).
MiniMax M2.7 costs 38.9× less per token ($0.9 vs $35 per 1M).
Task by task
| Task area | GPT-5.5 | MiniMax M2.7 | Winner |
|---|---|---|---|
| Chef / Home Cooking |
#4
/ 126
Strong
|
#124
/ 126
Weak
|
GPT-5.5 |
| Creative & Comedy | #2 / 110 | #108 / 110 | GPT-5.5 |
| Customer Support |
#3
/ 113
Strong
|
#108
/ 113
Needs editing
|
GPT-5.5 |
| Coding |
#1
/ 115
Excellent
|
#105
/ 115
Usable
|
GPT-5.5 |
| Knowledge & Docs |
#5
/ 110
Excellent
|
#108
/ 110
Weak
|
GPT-5.5 |
| Executive Assistant |
#11
/ 112
Strong
|
#107
/ 112
Usable
|
GPT-5.5 |
| Summarization & Meeting Notes |
#10
/ 110
Excellent
|
#104
/ 110
Strong
|
GPT-5.5 |
| Content & Brand |
#4
/ 124
Strong
|
#96
/ 124
Usable
|
GPT-5.5 |
| Research & Competitive Analysis |
#7
/ 110
Excellent
|
#96
/ 110
Needs editing
|
GPT-5.5 |
| Presentations & Decks |
#3
/ 110
Excellent
|
#83
/ 110
Strong
|
GPT-5.5 |
| Translation & Localization |
#3
/ 110
Excellent
|
#82
/ 110
Excellent
|
GPT-5.5 |
| RAG, Safety & Grounding |
#16
/ 113
Excellent
|
#94
/ 113
Strong
|
GPT-5.5 |
| Frontend & Landing Pages |
#13
/ 109
Needs editing
|
#89
/ 109
Weak
|
GPT-5.5 |
| Legal & HR |
#9
/ 110
Excellent
|
#81
/ 110
Strong
|
GPT-5.5 |
| Sales |
#42
/ 110
Usable
|
#108
/ 110
Weak
|
GPT-5.5 |
| Landing Pages |
#9
/ 72
Strong
|
#68
/ 72
Needs editing
|
GPT-5.5 |
| AI Strategy |
#62
/ 126
Strong
|
#119
/ 126
Usable
|
GPT-5.5 |
| Product & Project Management |
#8
/ 110
Excellent
|
#64
/ 110
Strong
|
GPT-5.5 |
| Investor & Pitch |
#16
/ 66
Strong
|
#66
/ 66
Weak
|
GPT-5.5 |
| Data & Analytics |
#48
/ 110
Excellent
|
#92
/ 110
Excellent
|
GPT-5.5 |
| Training & Education |
#63
/ 110
Excellent
|
#106
/ 110
Usable
|
GPT-5.5 |
| Structured Output |
#3
/ 113
Excellent
|
#33
/ 113
Excellent
|
GPT-5.5 |
Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.
Frequently asked
Is GPT-5.5 better than MiniMax M2.7?
Across 22 task areas we benchmarked, GPT-5.5 ranks higher in 22 and MiniMax M2.7 in 0.
Which is cheaper, GPT-5.5 or MiniMax M2.7?
MiniMax M2.7 costs 38.9× less per token ($0.9 vs $35 per 1M).
What is GPT-5.5 better at?
GPT-5.5 out-ranks MiniMax M2.7 at Chef / Home Cooking, Creative & Comedy, Customer Support.
More comparisons
This page is Spring Prompt, running in public
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals