Model comparison
GPT-4.5 vs Grok 4.6
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.2 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Grok 4.6 in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 13.9.
- The biggest single-benchmark swing is ARC-AGI-1: 10.3% for GPT-4.5 and 87.5% for Grok 4.6.
Side by side
| GPT-4.5 | Grok 4.6 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 37.2 | 56.9 |
| Released | 2025-02-27 | 2026-08-12 |
| Weights | Proprietary | Proprietary |
| Context window | — | 500K |
| Max output | — | 500K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 49 |
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Category by category
Coding Grok 4.6 leads
GPT-4.5: 42.2 (#109), Grok 4.6: 58.5 (#16)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| WeirdML | 39.4% | 67.3% |
| LMArena Coding | 1396 | 1465 |
| DeepSWE | — | 67.5% |
| FrontierCode | — | 48% |
| Aider Polyglot | 44.9% | — |
| CursorBench | — | 41.4% |
| LMArena WebDev | — | 1617 |
| FrontierSWE | — | 25.3% |
| SciCode | — | 56.5% |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 1,508 |
Agentic & Tool Use Grok 4.6 leads
GPT-4.5: 27.9 (#97), Grok 4.6: 39.4 (#27)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| APEX-Agents | — | 65.3% |
| Cybench | 17.5% | — |
| GDP.pdf | — | 17.2% |
| Vending-Bench 2 | — | 9,047 |
Reasoning Grok 4.6 leads
GPT-4.5: 13.9 (#330), Grok 4.6: 61.4 (#20)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| ARC-AGI-2 | 0.8% | 67.1% |
| SimpleBench | 34.5% | 75.9% |
| ARC-AGI-1 | 10.3% | 87.5% |
| LMArena Hard Prompts | 1403 | 1447 |
| Epoch Capabilities Index | 136.74 | 156.44 |
| NYT Connections (extended) | — | 80% |
| CritPt | — | 19.7% |
| Chess Puzzles | — | 40% |
| EnigmaEval | 3.2% | — |
| EBR-Bench | — | 30.5% |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 97.3% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 48.5% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Grok 4.6 leads
GPT-4.5: 32.6 (#211), Grok 4.6: 67.0 (#24)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 99.2% |
| LMArena Math | 1412 | 1423 |
| FrontierMath (Tiers 1-3) | — | 66% |
| FrontierMath Tier 4 | — | 31.7% |
| ProofBench | — | 51% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Grok 4.6 leads
GPT-4.5: 32.5 (#211), Grok 4.6: 63.3 (#20)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| GPQA Diamond | 68.7% | 94% |
| LMArena Expert | 1394 | 1467 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 49.3% |
| Confabulations | 13.6% | — |
Multimodal Grok 4.6 leads
GPT-4.5: 37.6 (#71), Grok 4.6: 43.6 (#23)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| LMArena Vision | 1195 | 1263 |
| VPCT | 45% | — |
| Blueprint-Bench 2 | — | 33.2% |
| Furniture Assembly | — | 40% |
| LMArena Document | — | 1452 |
Multilingual Too close to call
GPT-4.5: 52.5 (#83), Grok 4.6: 53.0 (#74)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| LMArena Non-English | 1413 | 1420 |
| LMArena Chinese | 1421 | 1480 |
| LMArena French | 1418 | 1461 |
| LMArena German | 1457 | 1431 |
| LMArena Japanese | 1416 | 1376 |
| LMArena Korean | 1392 | 1397 |
| LMArena Russian | 1419 | 1422 |
| LMArena Spanish | — | 1404 |
Instruction Following Grok 4.6 leads
GPT-4.5: 72.6 (#134), Grok 4.6: 75.4 (#63)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1431 |
| LiveBench Instruction Following | 72.3% | — |
Long Context Grok 4.6 leads
GPT-4.5: 40.4 (#155), Grok 4.6: 44.5 (#66)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| LMArena Longer Query | 1406 | 1454 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference Grok 4.6 leads
GPT-4.5: 56.9 (#134), Grok 4.6: 62.3 (#80)
| Benchmark | GPT-4.5 | Grok 4.6 |
|---|---|---|
| LMArena Text | 1417 | 1428 |
| LMArena Creative Writing | 1394 | 1428 |
| LMArena Multi-Turn | 1444 | 1425 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Grok 4.6?
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.2 on the Noometry Index.
Is GPT-4.5 or Grok 4.6 better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 42.2 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Grok 4.6 share?
24 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Grok 4.6 has 49.