Model comparison
GPT-5 Pro vs MiniMax-M2.1
GPT-5 Pro is the stronger model overall, scoring 46.2 to 38.4 on the Noometry Index. MiniMax-M2.1 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MiniMaxSummary
- The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 15.8.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 205K.
- MiniMax-M2.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | MiniMax-M2.1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 46.2 | 38.4 |
| Released | 2025-10-06 | 2025-12-23 |
| Weights | Proprietary | Open |
| Context window | 400K | 205K |
| Max output | 272K | 131K |
| Input $ / M tokens | $15 | $0.30 |
| Output $ / M tokens | $120 | $1.20 |
| Results tracked | 12 | 22 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), MiniMax-M2.1: 40.1 (#132)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| LMArena WebDev | — | 1384 |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1421 |
| ALE-Bench | — | 623.83 |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, MiniMax-M2.1: 27.7 (#91)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), MiniMax-M2.1: 15.8 (#301)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 11.2% |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1410 |
| Epoch Capabilities Index | 150.26 | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), MiniMax-M2.1: 35.6 (#142)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1396 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), MiniMax-M2.1: 37.7 (#143)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 11.8% |
| LMArena Expert | — | 1432 |
Multilingual Not comparable
GPT-5 Pro: —, MiniMax-M2.1: 50.2 (#123)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1430 |
| LMArena French | — | 1405 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1287 |
| LMArena Korean | — | 1297 |
| LMArena Russian | — | 1386 |
| LMArena Spanish | — | 1396 |
Instruction Following Not comparable
GPT-5 Pro: —, MiniMax-M2.1: 74.0 (#108)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
GPT-5 Pro: —, MiniMax-M2.1: 43.2 (#98)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | — | 1416 |
Writing & Preference Not comparable
GPT-5 Pro: —, MiniMax-M2.1: 58.5 (#114)
| Benchmark | GPT-5 Pro | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | — | 1392 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1396 |
Frequently asked questions
Is GPT-5 Pro better than MiniMax-M2.1?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 38.4 on the Noometry Index. MiniMax-M2.1 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or MiniMax-M2.1?
MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or MiniMax-M2.1 better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 205K.
How many benchmarks do GPT-5 Pro and MiniMax-M2.1 share?
0 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and MiniMax-M2.1 has 22.