Model comparison
GPT-5.3 Chat vs MiniMax M1
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 40.3 on the Noometry Index. MiniMax M1 costs 5.0× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and MiniMax M1 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 53.1.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiniMax M1 accepts more context: 1M tokens versus 128K.
- MiniMax M1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | MiniMax M1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.8 | 40.3 |
| Released | 2026-03-03 | 2025-06-13 |
| Weights | Proprietary | Open |
| Context window | 128K | 1M |
| Max output | 16K | 40K |
| Input $ / M tokens | $1.75 | $0.55 |
| Output $ / M tokens | $14 | $2.20 |
| Results tracked | 18 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), MiniMax M1: 39.9 (#153)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1408 | 1359 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), MiniMax M1: 26.9 (#126)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1339 |
Math Too close to call
GPT-5.3 Chat: 38.2 (#142), MiniMax M1: 37.5 (#151)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Math | 1389 | 1361 |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), MiniMax M1: 36.4 (#170)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1397 | 1317 |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), MiniMax M1: 45.8 (#163)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1382 | 1319 |
| LMArena Chinese | 1432 | 1360 |
| LMArena French | 1397 | 1370 |
| LMArena German | 1384 | 1350 |
| LMArena Japanese | 1352 | 1217 |
| LMArena Korean | 1346 | 1266 |
| LMArena Russian | 1400 | 1329 |
| LMArena Spanish | 1371 | 1353 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), MiniMax M1: 69.3 (#174)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1312 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), MiniMax M1: 41.4 (#141)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1396 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), MiniMax M1: 53.1 (#161)
| Benchmark | GPT-5.3 Chat | MiniMax M1 |
|---|---|---|
| LMArena Text | 1389 | 1343 |
| LMArena Creative Writing | 1355 | 1298 |
| LMArena Multi-Turn | 1412 | 1335 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than MiniMax M1?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 40.3 on the Noometry Index. MiniMax M1 costs 5.0× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Chat or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or MiniMax M1 better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 128K.
How many benchmarks do GPT-5.3 Chat and MiniMax M1 share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax M1 has 18.