Model comparison
Grok 4.6 vs MiniMax-M2.7
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 5.7× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Grok 4.6 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 4.6 leads 61.4 to 19.7.
- The biggest single-benchmark swing is NYT Connections (extended): 80% for Grok 4.6 and 24.7% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Grok 4.6.
- Grok 4.6 accepts more context: 500K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.6 | MiniMax-M2.7 | |
|---|---|---|
| Provider | xAI | MiniMax |
| Noometry Index | 56.9 | 37.7 |
| Released | 2026-08-12 | 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 | 49 | 30 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.6 leads
Grok 4.6: 58.5 (#16), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1617 | 1398 |
| SciCode | 56.5% | 47% |
| WeirdML | 67.3% | 37% |
| LMArena Coding | 1465 | 1454 |
| ALE-Bench | 1,508 | 599.25 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| FrontierSWE | 25.3% | — |
Agentic & Tool Use Grok 4.6 leads
Grok 4.6: 39.4 (#27), MiniMax-M2.7: 25.1 (#111)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| APEX-Agents | 65.3% | — |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |
Reasoning Grok 4.6 leads
Grok 4.6: 61.4 (#20), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | 80% | 24.7% |
| CritPt | 19.7% | 0.6% |
| LMArena Hard Prompts | 1447 | 1422 |
| Epoch Capabilities Index | 156.44 | 145.85 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| ARC-AGI-1 | 87.5% | — |
| Chess Puzzles | 40% | — |
| Thematic Generalization | — | 39.3% |
| EBR-Bench | 30.5% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |
Math Grok 4.6 leads
Grok 4.6: 67.0 (#24), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| ProofBench | 51% | 3% |
| LMArena Math | 1423 | 1420 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
Knowledge Grok 4.6 leads
Grok 4.6: 63.3 (#20), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1467 | 1444 |
| GPQA Diamond | 94% | — |
| SimpleQA Verified | 49.3% | — |
| Vectara Hallucination Rate | — | 12.9% |
Multimodal Not comparable
Grok 4.6: 43.6 (#23), MiniMax-M2.7: —
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.6 leads
Grok 4.6: 53.0 (#74), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1420 | 1382 |
| LMArena Chinese | 1480 | 1441 |
| LMArena French | 1461 | 1421 |
| LMArena German | 1431 | 1398 |
| LMArena Japanese | 1376 | 1262 |
| LMArena Korean | 1397 | 1313 |
| LMArena Russian | 1422 | 1383 |
| LMArena Spanish | 1404 | 1403 |
Instruction Following Grok 4.6 leads
Grok 4.6: 75.4 (#63), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1405 |
Long Context Grok 4.6 leads
Grok 4.6: 44.5 (#66), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1454 | 1419 |
Writing & Preference Grok 4.6 leads
Grok 4.6: 62.3 (#80), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Grok 4.6 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1428 | 1405 |
| LMArena Creative Writing | 1428 | 1354 |
| LMArena Multi-Turn | 1425 | 1412 |
Frequently asked questions
Is Grok 4.6 better than MiniMax-M2.7?
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 5.7× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.
Which is cheaper, Grok 4.6 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 4.6 lists at $2 and $6.
Is Grok 4.6 or MiniMax-M2.7 better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.6 does, with 500K tokens against 205K.
How many benchmarks do Grok 4.6 and MiniMax-M2.7 share?
25 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and MiniMax-M2.7 has 30.