Model comparison
Grok 4.20 (Non-Reasoning) vs MiniMax-M2.5
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 3.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 8 categories and MiniMax-M2.5 in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 17.5.
- The biggest single-benchmark swing is NYT Connections (extended): 85.4% for Grok 4.20 (Non-Reasoning) and 16.8% for MiniMax-M2.5.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 205K.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 | |
|---|---|---|
| Provider | xAI | MiniMax |
| Noometry Index | 48.6 | 38.3 |
| Released | 2026-02-17 | 2026-02-12 |
| Weights | Proprietary | Open |
| Context window | 1M | 205K |
| Max output | 30K | 131K |
| Input $ / M tokens | $1.25 | $0.30 |
| Output $ / M tokens | $2.50 | $1.20 |
| Results tracked | 46 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
Grok 4.20 (Non-Reasoning): 42.1 (#112), MiniMax-M2.5: 48.1 (#58)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena WebDev | 1375 | 1387 |
| LMArena Coding | 1459 | 1381 |
| ALE-Bench | 1,150 | 618.17 |
| SWE-bench Verified (bash only) | — | 75.8% |
| SWE-bench Multilingual | — | 68.3% |
| WeirdML | 52.3% | — |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 34.4 (#46), MiniMax-M2.5: 30.4 (#77)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | 57.3% | 42.7% |
| Vending-Bench 2 | 4,663 | -23.16 |
| τ²-bench Banking | 18% | — |
| LMArena Search | 1189 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.3 (#32), MiniMax-M2.5: 17.5 (#292)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| ARC-AGI-2 | 65.1% | 4.9% |
| Kagi LLM Benchmark | 75% | 55.2% |
| NYT Connections (extended) | 85.4% | 16.8% |
| ARC-AGI-1 | 89.5% | 63.7% |
| LMArena Hard Prompts | 1451 | 1372 |
| Epoch Capabilities Index | 151.98 | 146.68 |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 63.8% | — |
| DTBench | 90.1% | — |
| LMCA | 38.7% | — |
| ForecastBench | 61.4 | — |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.2 (#65), MiniMax-M2.5: 26.9 (#253)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| ProofBench | 14% | 4% |
| LMArena Math | 1455 | 1378 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#60), MiniMax-M2.5: 39.2 (#135)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1439 | 1379 |
| GPQA Diamond | 89.3% | — |
| SimpleQA Verified | 30.2% | — |
| Vectara Hallucination Rate | — | 9.1% |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.3 (#98), MiniMax-M2.5: —
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1416 | — |
Multilingual Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 54.5 (#40), MiniMax-M2.5: 47.1 (#152)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1441 | 1338 |
| LMArena Chinese | 1481 | 1393 |
| LMArena French | 1476 | 1362 |
| LMArena German | 1465 | 1362 |
| LMArena Japanese | 1449 | 1171 |
| LMArena Korean | 1417 | 1232 |
| LMArena Russian | 1458 | 1358 |
| LMArena Spanish | 1443 | 1354 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 74.8 (#83), MiniMax-M2.5: 71.5 (#148)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1353 |
Long Context Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 45.5 (#34), MiniMax-M2.5: 37.5 (#216)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| CL-bench | 22.2% | 11.4% |
| CL-bench Life | 11.9% | 6.3% |
| LMArena Longer Query | 1437 | 1366 |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 65.7 (#44), MiniMax-M2.5: 53.9 (#153)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1451 | 1359 |
| LMArena Creative Writing | 1438 | 1331 |
| EQ-Bench Creative Writing | 1574 | 1361 |
| LMArena Multi-Turn | 1456 | 1364 |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than MiniMax-M2.5?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 3.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 (Non-Reasoning) or MiniMax-M2.5?
MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.
Is Grok 4.20 (Non-Reasoning) or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 205K.
How many benchmarks do Grok 4.20 (Non-Reasoning) and MiniMax-M2.5 share?
30 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and MiniMax-M2.5 has 33.