Model comparison
GPT-5-Codex vs MiniMax M1
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMaxSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 26.9.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiniMax M1 accepts more context: 1M tokens versus 400K.
- MiniMax M1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | MiniMax M1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 37.9 | 40.3 |
| Released | 2025-09-15 | 2025-06-13 |
| Weights | Proprietary | Open |
| Context window | 400K | 1M |
| Max output | 128K | 40K |
| Input $ / M tokens | $1.25 | $0.55 |
| Output $ / M tokens | $10 | $2.20 |
| Results tracked | 3 | 18 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), MiniMax M1: 39.9 (#153)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1359 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), MiniMax M1: —
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), MiniMax M1: 26.9 (#126)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1339 |
Math Not comparable
GPT-5-Codex: —, MiniMax M1: 37.5 (#151)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Math | — | 1361 |
Knowledge Not comparable
GPT-5-Codex: —, MiniMax M1: 36.4 (#170)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Expert | — | 1317 |
Multilingual Not comparable
GPT-5-Codex: —, MiniMax M1: 45.8 (#163)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Non-English | — | 1319 |
| LMArena Chinese | — | 1360 |
| LMArena French | — | 1370 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1217 |
| LMArena Korean | — | 1266 |
| LMArena Russian | — | 1329 |
| LMArena Spanish | — | 1353 |
Instruction Following Not comparable
GPT-5-Codex: —, MiniMax M1: 69.3 (#174)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | — | 1312 |
Long Context Not comparable
GPT-5-Codex: —, MiniMax M1: 41.4 (#141)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | — | 69.4% |
| LMArena Longer Query | — | 1326 |
Writing & Preference Not comparable
GPT-5-Codex: —, MiniMax M1: 53.1 (#161)
| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Text | — | 1343 |
| LMArena Creative Writing | — | 1298 |
| LMArena Multi-Turn | — | 1335 |
Frequently asked questions
Is GPT-5-Codex better than MiniMax M1?
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or MiniMax M1 better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 400K.
How many benchmarks do GPT-5-Codex and MiniMax M1 share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiniMax M1 has 18.