Model comparison
GPT-5.5 Pro vs MiniMax-M3
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.8 on the Noometry Index. MiniMax-M3 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 . 8 shared benchmarks.
MiniMaxSummary
- They share 8 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and MiniMax-M3 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 40.0.
- The biggest single-benchmark swing is Chess Puzzles: 64% for GPT-5.5 Pro and 14% for MiniMax-M3.
- MiniMax-M3 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 1M.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | MiniMax-M3 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 64.3 | 43.8 |
| Released | 2026-04-23 | 2026-06-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1M |
| Max output | 128K | 512K |
| Input $ / M tokens | $30 | $0.30 |
| Output $ / M tokens | $180 | $1.20 |
| Results tracked | 14 | 41 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 41.8 (#118)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| FrontierCode | — | 14.7% |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| LMArena Coding | — | 1469 |
| ALE-Bench | — | 640.02 |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 22.6 (#130)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), MiniMax-M3: 30.1 (#87)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| SimpleBench | 76.9% | 45.8% |
| CritPt | 30.6% | 3.7% |
| Chess Puzzles | 64% | 14% |
| DTBench | 96% | 78.9% |
| LMCA | 53.9% | 33.7% |
| Epoch Capabilities Index | 162.07 | 146.95 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | — | 65.1% |
| ARC-AGI-1 | 96.5% | — |
| LMArena Hard Prompts | — | 1447 |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 55% |
| ForecastBench | — | 61.4 |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), MiniMax-M3: 40.0 (#95)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 71.1% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| ProofBench | — | 18% |
| LMArena Math | — | 1429 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), MiniMax-M3: 58.4 (#35)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | 93.9% | 90.9% |
| LMArena Expert | — | 1461 |
Multimodal Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 40.2 (#51)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1253 |
| LMArena Document | — | 1435 |
Multilingual Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 53.0 (#75)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | — | 1420 |
| LMArena Chinese | — | 1463 |
| LMArena French | — | 1447 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1381 |
| LMArena Korean | — | 1372 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1432 |
Instruction Following Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 75.5 (#62)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | — | 1433 |
Long Context Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 44.2 (#72)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | — | 1445 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, MiniMax-M3: 62.1 (#83)
| Benchmark | GPT-5.5 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Text | — | 1433 |
| LMArena Creative Writing | — | 1404 |
| EQ-Bench 4 | — | 1150 |
| LMArena Multi-Turn | — | 1442 |
Frequently asked questions
Is GPT-5.5 Pro better than MiniMax-M3?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.8 on the Noometry Index. MiniMax-M3 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-M3?
MiniMax-M3 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 1M.
How many benchmarks do GPT-5.5 Pro and MiniMax-M3 share?
8 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiniMax-M3 has 41.