Model comparison
GPT-5.4 mini vs MiniMax M1
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 40.3 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
MiniMaxSummary
- They share 17 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and MiniMax M1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 36.4.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- MiniMax M1 accepts more context: 1M tokens versus 400K.
- MiniMax M1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | MiniMax M1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 45.0 | 40.3 |
| Released | 2026-03-17 | 2025-06-13 |
| Weights | Proprietary | Open |
| Context window | 400K | 1M |
| Max output | 128K | 40K |
| Input $ / M tokens | $0.75 | $0.55 |
| Output $ / M tokens | $4.50 | $2.20 |
| Results tracked | 46 | 18 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), MiniMax M1: 39.9 (#153)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1438 | 1359 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), MiniMax M1: —
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), MiniMax M1: 26.9 (#126)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1339 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.84 | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), MiniMax M1: 37.5 (#151)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Math | 1419 | 1361 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), MiniMax M1: 36.4 (#170)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1435 | 1317 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), MiniMax M1: —
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), MiniMax M1: 45.8 (#163)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1405 | 1319 |
| LMArena Chinese | 1446 | 1360 |
| LMArena French | 1440 | 1370 |
| LMArena German | 1409 | 1350 |
| LMArena Japanese | 1374 | 1217 |
| LMArena Korean | 1368 | 1266 |
| LMArena Russian | 1417 | 1329 |
| LMArena Spanish | 1405 | 1353 |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), MiniMax M1: 69.3 (#174)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1312 |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 43.0 (#112), MiniMax M1: 41.4 (#141)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1407 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), MiniMax M1: 53.1 (#161)
| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Text | 1412 | 1343 |
| LMArena Creative Writing | 1370 | 1298 |
| LMArena Multi-Turn | 1429 | 1335 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than MiniMax M1?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 40.3 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 mini or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.
Is GPT-5.4 mini or MiniMax M1 better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 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-5.4 mini and MiniMax M1 share?
17 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiniMax M1 has 18.