Model comparison
Grok 4.7 vs o3-pro
Grok 4.7 is the stronger model overall, scoring 53.1 to 42.9 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Grok 4.7 scores higher in 4 categories and o3-pro in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 29.5.
- The biggest single-benchmark swing is LMCA: 49.4% for Grok 4.7 and 38.5% for o3-pro.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $20 / $80 for o3-pro.
- Grok 4.7 accepts more context: 500K tokens versus 200K.
Side by side
| Grok 4.7 | o3-pro | |
|---|---|---|
| Provider | xAI | OpenAI |
| Noometry Index | 53.1 | 42.9 |
| Released | 2026-09-21 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 500K | 200K |
| Max output | 500K | 100K |
| Input $ / M tokens | $2 | $20 |
| Output $ / M tokens | $6 | $80 |
| Results tracked | 39 | 12 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), o3-pro: 55.5 (#24)
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| FrontierCode | 47.6% | — |
| Aider Polyglot | — | 84.9% |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1639 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1427 | — |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), o3-pro: —
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 49.1 (#40), o3-pro: 23.8 (#171)
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| DTBench | 96% | 86.9% |
| LMCA | 49.4% | 38.5% |
| Epoch Capabilities Index | 153.53 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 76.8% | — |
| ARC-AGI-1 | — | 59.3% |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| LMArena Hard Prompts | 1413 | — |
| Mystery Game Puzzles | 29% | — |
Math Not comparable
Grok 4.7: 57.8 (#39), o3-pro: —
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
| LMArena Math | 1407 | — |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), o3-pro: 29.5 (#238)
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| GPQA Diamond | 92.7% | — |
| SimpleQA Verified | 56% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1422 | — |
Multimodal Not comparable
Grok 4.7: 35.5 (#87), o3-pro: —
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| LMArena Vision | 1228 | — |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |
Multilingual Not comparable
Grok 4.7: 50.8 (#116), o3-pro: —
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| LMArena Non-English | 1389 | — |
| LMArena Chinese | 1455 | — |
| LMArena French | 1455 | — |
| LMArena Russian | 1397 | — |
| LMArena Spanish | 1400 | — |
Instruction Following Not comparable
Grok 4.7: 74.1 (#105), o3-pro: —
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context o3-pro leads
Grok 4.7: 43.1 (#104), o3-pro: 72.2 (#1)
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1413 | — |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), o3-pro: 57.1 (#133)
| Benchmark | Grok 4.7 | o3-pro |
|---|---|---|
| LMArena Text | 1399 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 2007 | — |
| LMArena Multi-Turn | 1393 | — |
Frequently asked questions
Is Grok 4.7 better than o3-pro?
Grok 4.7 is the stronger model overall, scoring 53.1 to 42.9 on the Noometry Index.
Which is cheaper, Grok 4.7 or o3-pro?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; o3-pro lists at $20 and $80.
Is Grok 4.7 or o3-pro better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 55.5 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 200K.
How many benchmarks do Grok 4.7 and o3-pro share?
3 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and o3-pro has 12.