Model comparison
Grok 4.20 (Non-Reasoning) vs o3-mini
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.7 on the Noometry Index.
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 o3-mini in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 16.3.
- The biggest single-benchmark swing is ARC-AGI-2: 65.1% for Grok 4.20 (Non-Reasoning) and 3% for o3-mini.
- Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 200K.
Side by side
| Grok 4.20 (Non-Reasoning) | o3-mini | |
|---|---|---|
| Provider | xAI | OpenAI |
| Noometry Index | 48.6 | 36.7 |
| Released | 2026-02-17 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 200K |
| Max output | 30K | 100K |
| Input $ / M tokens | $1.25 | $1.10 |
| Output $ / M tokens | $2.50 | $4.40 |
| Results tracked | 46 | 51 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 42.1 (#112), o3-mini: 40.8 (#132)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| WeirdML | 52.3% | 43.7% |
| LMArena Coding | 1459 | 1378 |
| Aider Polyglot | — | 60.4% |
| LMArena WebDev | 1375 | — |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
| ALE-Bench | 1,150 | — |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 34.4 (#46), o3-mini: 29.6 (#84)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| Terminal-Bench | 57.3% | — |
| τ²-bench Banking | 18% | — |
| Cybench | — | 22.5% |
| LMArena Search | 1189 | — |
| Vending-Bench 2 | 4,663 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.3 (#32), o3-mini: 16.3 (#305)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| ARC-AGI-2 | 65.1% | 3% |
| ARC-AGI-1 | 89.5% | 34.5% |
| Chess Puzzles | 24% | 17% |
| LMArena Hard Prompts | 1451 | 1366 |
| DTBench | 90.1% | 68.8% |
| LMCA | 38.7% | 19% |
| Epoch Capabilities Index | 151.98 | 140.34 |
| ForecastBench | 61.4 | 59.6 |
| SimpleBench | — | 22.8% |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 85.4% | — |
| CritPt | — | 0.3% |
| Thematic Generalization | 63.8% | — |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LiveBench | — | 75.9% |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.2 (#65), o3-mini: 28.1 (#244)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | 18.6% |
| FrontierMath Tier 4 | 17.1% | 0% |
| OTIS Mock AIME 2024-2025 | 92.2% | 76.9% |
| LMArena Math | 1455 | 1396 |
| ProofBench | 14% | — |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#60), o3-mini: 38.3 (#146)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| GPQA Diamond | 89.3% | 77% |
| SimpleQA Verified | 30.2% | 15.3% |
| LMArena Expert | 1439 | 1364 |
| Confabulations | — | 17.9% |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.3 (#98), o3-mini: —
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| 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), o3-mini: 45.7 (#164)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| LMArena Non-English | 1441 | 1319 |
| LMArena Chinese | 1481 | 1379 |
| LMArena French | 1476 | 1334 |
| LMArena German | 1465 | 1303 |
| LMArena Japanese | 1449 | 1286 |
| LMArena Korean | 1417 | 1314 |
| LMArena Russian | 1458 | 1304 |
| LMArena Spanish | 1443 | 1321 |
Instruction Following Too close to call
Grok 4.20 (Non-Reasoning): 74.8 (#83), o3-mini: 75.1 (#72)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1420 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 45.5 (#34), o3-mini: 33.8 (#256)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| LMArena Longer Query | 1437 | 1343 |
| Fiction.LiveBench | — | 50% |
| CL-bench | 22.2% | — |
| CL-bench Life | 11.9% | — |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 65.7 (#44), o3-mini: 50.3 (#182)
| Benchmark | Grok 4.20 (Non-Reasoning) | o3-mini |
|---|---|---|
| LMArena Text | 1451 | 1337 |
| LMArena Creative Writing | 1438 | 1286 |
| LMArena Multi-Turn | 1456 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| EQ-Bench Creative Writing | 1574 | — |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than o3-mini?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.7 on the Noometry Index.
Which is cheaper, Grok 4.20 (Non-Reasoning) or o3-mini?
Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is Grok 4.20 (Non-Reasoning) or o3-mini better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 200K.
How many benchmarks do Grok 4.20 (Non-Reasoning) and o3-mini share?
30 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and o3-mini has 51.