Model comparison
Grok 4.5 vs MiniMax-M3
Grok 4.5 is the stronger model overall, scoring 55.0 to 43.8 on the Noometry Index. MiniMax-M3 costs 5.7× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Last verified . 37 shared benchmarks.
Summary
- They share 37 benchmarks with published results for both. Grok 4.5 scores higher in 9 categories and MiniMax-M3 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 30.1.
- The biggest single-benchmark swing is GBAEval: 65.4% for Grok 4.5 and 0.9% for MiniMax-M3.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Grok 4.5.
- MiniMax-M3 accepts more context: 1M tokens versus 500K.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | MiniMax-M3 | |
|---|---|---|
| Provider | xAI | MiniMax |
| Noometry Index | 55.0 | 43.8 |
| Released | 2026-07-08 | 2026-06-01 |
| Weights | Proprietary | Open |
| Context window | 500K | 1M |
| Max output | 500K | 512K |
| Input $ / M tokens | $2 | $0.30 |
| Output $ / M tokens | $6 | $1.20 |
| Results tracked | 52 | 41 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 52.2 (#35), MiniMax-M3: 41.8 (#118)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| FrontierCode | 42.4% | 14.7% |
| LMArena WebDev | 1553 | 1482 |
| SciCode | 54.1% | 47.1% |
| LMArena Coding | 1474 | 1469 |
| ALE-Bench | 1,309 | 640.02 |
| DeepSWE | 53.8% | — |
| WeirdML | 46.4% | — |
Agentic & Tool Use Grok 4.5 leads
Grok 4.5: 44.4 (#17), MiniMax-M3: 22.6 (#130)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| APEX-Agents | 56.2% | 37.7% |
| GBAEval | 65.4% | 0.9% |
| Vending-Bench 2 | 3,887 | 2,158 |
| OSWorld 2.0 | — | 4.6% |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), MiniMax-M3: 30.1 (#87)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| SimpleBench | 70% | 45.8% |
| NYT Connections (extended) | 79.9% | 65.1% |
| CritPt | 15.4% | 3.7% |
| Chess Puzzles | 36% | 14% |
| LMArena Hard Prompts | 1462 | 1447 |
| DTBench | 96.5% | 78.9% |
| LMCA | 45.2% | 33.7% |
| Surface Evolver Bench | 74.4% | 55% |
| Epoch Capabilities Index | 153.92 | 146.95 |
| ARC-AGI-2 | 52.6% | — |
| Kagi LLM Benchmark | 83.5% | — |
| ARC-AGI-1 | 87.2% | — |
| Mystery Game Puzzles | — | 8% |
| ForecastBench | — | 61.4 |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), MiniMax-M3: 40.0 (#95)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 71.1% |
| ProofBench | 31% | 18% |
| LMArena Math | 1459 | 1429 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#24), MiniMax-M3: 58.4 (#35)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | 93.4% | 90.9% |
| LMArena Expert | 1466 | 1461 |
| SimpleQA Verified | 48.3% | — |
Multimodal MiniMax-M3 leads
Grok 4.5: 37.6 (#72), MiniMax-M3: 40.2 (#51)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Vision | 1288 | 1253 |
| LMArena Document | 1452 | 1435 |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.4 (#42), MiniMax-M3: 53.0 (#75)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1440 | 1420 |
| LMArena Chinese | 1496 | 1463 |
| LMArena French | 1456 | 1447 |
| LMArena German | 1446 | 1426 |
| LMArena Japanese | 1428 | 1381 |
| LMArena Korean | 1404 | 1372 |
| LMArena Russian | 1448 | 1428 |
| LMArena Spanish | 1450 | 1432 |
Instruction Following Too close to call
Grok 4.5: 76.0 (#48), MiniMax-M3: 75.5 (#62)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1446 | 1433 |
Long Context Too close to call
Grok 4.5: 44.8 (#56), MiniMax-M3: 44.2 (#72)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1463 | 1445 |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), MiniMax-M3: 62.1 (#83)
| Benchmark | Grok 4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1448 | 1433 |
| LMArena Creative Writing | 1442 | 1404 |
| LMArena Multi-Turn | 1456 | 1442 |
| EQ-Bench Creative Writing | 1579 | — |
| EQ-Bench 4 | — | 1150 |
Frequently asked questions
Is Grok 4.5 better than MiniMax-M3?
Grok 4.5 is the stronger model overall, scoring 55.0 to 43.8 on the Noometry Index. MiniMax-M3 costs 5.7× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Which is cheaper, Grok 4.5 or MiniMax-M3?
MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Grok 4.5 lists at $2 and $6.
Is Grok 4.5 or MiniMax-M3 better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M3 does, with 1M tokens against 500K.
How many benchmarks do Grok 4.5 and MiniMax-M3 share?
37 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and MiniMax-M3 has 41.