Model comparison
GPT-5.1-Codex vs MiniMax-M2.7
GPT-5.1-Codex and MiniMax-M2.7 score almost the same on the Noometry Index (38.2 vs 37.4), so choose on price, context window or the category you care about most.
Last verified . 4 shared benchmarks.
MiniMaxSummary
- They share 4 benchmarks with published results for both. GPT-5.1-Codex scores higher in 3 categories and MiniMax-M2.7 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.1-Codex leads 37.8 to 24.9.
- The biggest single-benchmark swing is Terminal-Bench: 60.4% for GPT-5.1-Codex and 45.1% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | MiniMax-M2.7 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 38.2 | 37.4 |
| Released | 2025-11-12 | 2026-03-18 |
| Weights | Proprietary | Open |
| Context window | 400K | 205K |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.30 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 6 | 30 |
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Category by category
Coding Too close to call
GPT-5.1-Codex: 41.7 (#107), MiniMax-M2.7: 41.4 (#115)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1337 | 1397 |
| ALE-Bench | 1,245 | 599.25 |
| SWE-bench Verified (bash only) | 66% | — |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| LMArena Coding | — | 1454 |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 37.8 (#32), MiniMax-M2.7: 24.9 (#103)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | 60.4% | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, MiniMax-M2.7: 19.0 (#248)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| LMArena Hard Prompts | — | 1422 |
| Epoch Capabilities Index | — | 145.84 |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 29.3 (#218), MiniMax-M2.7: 24.9 (#254)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| ProofBench | 9% | 3% |
| LMArena Math | — | 1420 |
Knowledge Not comparable
GPT-5.1-Codex: —, MiniMax-M2.7: 37.1 (#151)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1443 |
Multilingual Not comparable
GPT-5.1-Codex: —, MiniMax-M2.7: 50.5 (#120)
| Benchmark | GPT-5.1-Codex | 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-5.1-Codex: —, MiniMax-M2.7: 74.2 (#101)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | — | 1404 |
Long Context Not comparable
GPT-5.1-Codex: —, MiniMax-M2.7: 43.3 (#94)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | — | 1419 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, MiniMax-M2.7: 59.1 (#107)
| Benchmark | GPT-5.1-Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | — | 1404 |
| LMArena Creative Writing | — | 1354 |
| LMArena Multi-Turn | — | 1413 |
Frequently asked questions
Is GPT-5.1-Codex better than MiniMax-M2.7?
GPT-5.1-Codex and MiniMax-M2.7 score almost the same on the Noometry Index (38.2 vs 37.4), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.1-Codex 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-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or MiniMax-M2.7 better for coding?
They score almost the same on coding (41.7 vs 41.4); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 205K.
How many benchmarks do GPT-5.1-Codex and MiniMax-M2.7 share?
4 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and MiniMax-M2.7 has 30.