Model comparison
GPT-5.5 Pro vs MiniMax-M2.5
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.3 on the Noometry Index. MiniMax-M2.5 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 . 3 shared benchmarks.
MiniMaxSummary
- They share 3 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and MiniMax-M2.5 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 26.9.
- The biggest single-benchmark swing is ARC-AGI-2: 84.6% for GPT-5.5 Pro and 4.9% for MiniMax-M2.5.
- MiniMax-M2.5 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-M2.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | MiniMax-M2.5 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 64.3 | 38.3 |
| Released | 2026-04-23 | 2026-02-12 |
| 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 | 33 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 48.1 (#58)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| LMArena Coding | — | 1381 |
| ALE-Bench | — | 618.17 |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), MiniMax-M2.5: 17.5 (#292)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| ARC-AGI-2 | 84.6% | 4.9% |
| ARC-AGI-1 | 96.5% | 63.7% |
| Epoch Capabilities Index | 162.07 | 146.68 |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1372 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), MiniMax-M2.5: 26.9 (#253)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | — | 4% |
| LMArena Math | — | 1378 |
| 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-M2.5: 39.2 (#135)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| Vectara Hallucination Rate | — | 9.1% |
| LMArena Expert | — | 1379 |
Multilingual Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 47.1 (#152)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | — | 1338 |
| LMArena Chinese | — | 1393 |
| LMArena French | — | 1362 |
| LMArena German | — | 1362 |
| LMArena Japanese | — | 1171 |
| LMArena Korean | — | 1232 |
| LMArena Russian | — | 1358 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 71.5 (#148)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | — | 1353 |
Long Context Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 37.5 (#216)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
| LMArena Longer Query | — | 1366 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, MiniMax-M2.5: 53.9 (#153)
| Benchmark | GPT-5.5 Pro | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | — | 1359 |
| LMArena Creative Writing | — | 1331 |
| EQ-Bench Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1364 |
Frequently asked questions
Is GPT-5.5 Pro better than MiniMax-M2.5?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.3 on the Noometry Index. MiniMax-M2.5 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-M2.5?
MiniMax-M2.5 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-M2.5 share?
3 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiniMax-M2.5 has 33.