Model comparison
Grok 4.5 vs MiniMax-M2.7
Grok 4.5 is the stronger model overall, scoring 55.0 to 37.7 on the Noometry Index. MiniMax-M2.7 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 . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Grok 4.5 scores higher in 9 categories and MiniMax-M2.7 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 19.7.
- The biggest single-benchmark swing is GBAEval: 65.4% for Grok 4.5 and 0% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | MiniMax-M2.7 | |
|---|---|---|
| Provider | xAI | MiniMax |
| Noometry Index | 55.0 | 37.7 |
| Released | 2026-07-08 | 2026-03-18 |
| Weights | Proprietary | Open |
| Context window | 500K | 205K |
| Max output | 500K | 131K |
| Input $ / M tokens | $2 | $0.30 |
| Output $ / M tokens | $6 | $1.20 |
| Results tracked | 52 | 30 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 52.2 (#35), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1553 | 1398 |
| SciCode | 54.1% | 47% |
| WeirdML | 46.4% | 37% |
| LMArena Coding | 1474 | 1454 |
| ALE-Bench | 1,309 | 599.25 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
Agentic & Tool Use Grok 4.5 leads
Grok 4.5: 44.4 (#17), MiniMax-M2.7: 25.1 (#111)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| GBAEval | 65.4% | 0% |
| Terminal-Bench | — | 45.1% |
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| ExploitBench | — | 13.3% |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | 79.9% | 24.7% |
| CritPt | 15.4% | 0.6% |
| LMArena Hard Prompts | 1462 | 1422 |
| Epoch Capabilities Index | 153.92 | 145.85 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| Kagi LLM Benchmark | 83.5% | — |
| ARC-AGI-1 | 87.2% | — |
| Chess Puzzles | 36% | — |
| Thematic Generalization | — | 39.3% |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| ProofBench | 31% | 3% |
| LMArena Math | 1459 | 1420 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#24), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1466 | 1444 |
| GPQA Diamond | 93.4% | — |
| SimpleQA Verified | 48.3% | — |
| Vectara Hallucination Rate | — | 12.9% |
Multimodal Not comparable
Grok 4.5: 37.6 (#72), MiniMax-M2.7: —
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 1288 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.4 (#42), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1440 | 1382 |
| LMArena Chinese | 1496 | 1441 |
| LMArena French | 1456 | 1421 |
| LMArena German | 1446 | 1398 |
| LMArena Japanese | 1428 | 1262 |
| LMArena Korean | 1404 | 1313 |
| LMArena Russian | 1448 | 1383 |
| LMArena Spanish | 1450 | 1403 |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.0 (#48), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1446 | 1405 |
Long Context Grok 4.5 leads
Grok 4.5: 44.8 (#56), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1463 | 1419 |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Grok 4.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1448 | 1405 |
| LMArena Creative Writing | 1442 | 1354 |
| LMArena Multi-Turn | 1456 | 1412 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Grok 4.5 better than MiniMax-M2.7?
Grok 4.5 is the stronger model overall, scoring 55.0 to 37.7 on the Noometry Index. MiniMax-M2.7 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-M2.7?
MiniMax-M2.7 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-M2.7 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?
Grok 4.5 does, with 500K tokens against 205K.
How many benchmarks do Grok 4.5 and MiniMax-M2.7 share?
26 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and MiniMax-M2.7 has 30.