Model comparison
GPT-6.1 Sol vs MiniMax-M2.1
MiniMax-M2.1 has enough public results to be ranked (#177); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MiniMaxSummary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 40.1.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 205K.
- MiniMax-M2.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | MiniMax-M2.1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.1 | 38.4 |
| Released | 2026-09-29 | 2025-12-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 205K |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.30 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 2 | 22 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, MiniMax-M2.1: 40.1 (#132)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| DeepSWE | 75.2% | — |
| LMArena WebDev | — | 1384 |
| LMArena Coding | — | 1421 |
| ALE-Bench | — | 623.83 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, MiniMax-M2.1: 27.7 (#91)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 15.8 (#301)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| NYT Connections (extended) | — | 11.2% |
| LMArena Hard Prompts | — | 1410 |
Math Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 35.6 (#142)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | — | 1396 |
Knowledge Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 37.7 (#143)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| Vectara Hallucination Rate | — | 11.8% |
| LMArena Expert | — | 1432 |
Multilingual Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 50.2 (#123)
| Benchmark | GPT-6.1 Sol | 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-6.1 Sol: —, MiniMax-M2.1: 74.0 (#108)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 43.2 (#98)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | — | 1416 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, MiniMax-M2.1: 58.5 (#114)
| Benchmark | GPT-6.1 Sol | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | — | 1392 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1396 |
Frequently asked questions
Is GPT-6.1 Sol better than MiniMax-M2.1?
MiniMax-M2.1 has enough public results to be ranked (#177); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or MiniMax-M2.1 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 205K.
How many benchmarks do GPT-6.1 Sol and MiniMax-M2.1 share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and MiniMax-M2.1 has 22.