Model comparison
GPT-5.2 Pro vs MiniMax-M3
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.8 on the Noometry Index. MiniMax-M3 costs 110× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
MiniMaxSummary
- They share 3 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and MiniMax-M3 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 40.0.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 65.1% for MiniMax-M3.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- MiniMax-M3 accepts more context: 1M tokens versus 400K.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | MiniMax-M3 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 52.3 | 43.8 |
| Released | 2025-12-11 | 2026-06-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 1M |
| Max output | 128K | 512K |
| Input $ / M tokens | $21 | $0.30 |
| Output $ / M tokens | $168 | $1.20 |
| Results tracked | 8 | 41 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 41.8 (#118)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| FrontierCode | — | 14.7% |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| LMArena Coding | — | 1469 |
| ALE-Bench | — | 640.02 |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 22.6 (#130)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), MiniMax-M3: 30.1 (#87)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| SimpleBench | 57.4% | 45.8% |
| NYT Connections (extended) | 79.3% | 65.1% |
| Epoch Capabilities Index | 155.4 | 146.95 |
| ARC-AGI-2 | 54.2% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| LMArena Hard Prompts | — | 1447 |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| ForecastBench | — | 61.4 |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), MiniMax-M3: 40.0 (#95)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 18% |
| LMArena Math | — | 1429 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 58.4 (#35)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| LMArena Expert | — | 1461 |
Multimodal Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 40.2 (#51)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1253 |
| LMArena Document | — | 1435 |
Multilingual Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 53.0 (#75)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | — | 1420 |
| LMArena Chinese | — | 1463 |
| LMArena French | — | 1447 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1381 |
| LMArena Korean | — | 1372 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1432 |
Instruction Following Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 75.5 (#62)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | — | 1433 |
Long Context Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 44.2 (#72)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | — | 1445 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, MiniMax-M3: 62.1 (#83)
| Benchmark | GPT-5.2 Pro | MiniMax-M3 |
|---|---|---|
| LMArena Text | — | 1433 |
| LMArena Creative Writing | — | 1404 |
| EQ-Bench 4 | — | 1150 |
| LMArena Multi-Turn | — | 1442 |
Frequently asked questions
Is GPT-5.2 Pro better than MiniMax-M3?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.8 on the Noometry Index. MiniMax-M3 costs 110× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or MiniMax-M3?
MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
MiniMax-M3 does, with 1M tokens against 400K.
How many benchmarks do GPT-5.2 Pro and MiniMax-M3 share?
3 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and MiniMax-M3 has 41.