Model comparison
GPT-5.5 Pro vs MiniMax-M2.7
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 129× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and MiniMax-M2.7 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 24.9.
- The biggest single-benchmark swing is CritPt: 30.6% for GPT-5.5 Pro and 0.6% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | MiniMax-M2.7 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 64.3 | 37.4 |
| Released | 2026-04-23 | 2026-03-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 205K |
| Max output | 128K | 131K |
| Input $ / M tokens | $30 | $0.30 |
| Output $ / M tokens | $180 | $1.20 |
| Results tracked | 14 | 30 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 41.4 (#115)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | — | 1397 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| LMArena Coding | — | 1454 |
| ALE-Bench | — | 599.25 |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 24.9 (#103)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.6 (#7), MiniMax-M2.7: 19.0 (#248)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| CritPt | 30.6% | 0.6% |
| Epoch Capabilities Index | 162.45 | 145.84 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| NYT Connections (extended) | — | 24.7% |
| ARC-AGI-1 | 96.5% | — |
| Chess Puzzles | 64% | — |
| Thematic Generalization | — | 39.3% |
| LMArena Hard Prompts | — | 1422 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 83.8 (#8), MiniMax-M2.7: 24.9 (#254)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | — | 3% |
| LMArena Math | — | 1420 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.2 (#17), MiniMax-M2.7: 37.1 (#151)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1443 |
Multilingual Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 50.5 (#120)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | — | 1382 |
| LMArena Chinese | — | 1439 |
| LMArena French | — | 1422 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1261 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1383 |
| LMArena Spanish | — | 1403 |
Instruction Following Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 74.2 (#101)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | — | 1404 |
Long Context Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 43.3 (#94)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | — | 1419 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, MiniMax-M2.7: 59.1 (#107)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | — | 1404 |
| LMArena Creative Writing | — | 1354 |
| LMArena Multi-Turn | — | 1413 |
Frequently asked questions
Is GPT-5.5 Pro better than MiniMax-M2.7?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 129× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or MiniMax-M2.7?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 205K.
How many benchmarks do GPT-5.5 Pro and MiniMax-M2.7 share?
2 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiniMax-M2.7 has 30.