Model comparison
Claude Sonnet 4 vs Grok 4.7
Grok 4.7 is the stronger model overall, scoring 53.1 to 40.8 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude Sonnet 4 scores higher in 1 category and Grok 4.7 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.7 leads 49.1 to 22.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for Claude Sonnet 4 and 98.1% for Grok 4.7.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Grok 4.7 accepts more context: 500K tokens versus 200K.
Side by side
| Claude Sonnet 4 | Grok 4.7 | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 40.8 | 53.1 |
| Released | 2025-05-22 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 500K |
| Max output | 64K | 500K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $6 |
| Results tracked | 58 | 39 |
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Category by category
Coding Grok 4.7 leads
Claude Sonnet 4: 43.5 (#88), Grok 4.7: 58.0 (#18)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| SciCode | 40% | 57.8% |
| LMArena Coding | 1414 | 1427 |
| FrontierCode | — | 47.6% |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| CursorBench | — | 46.3% |
| LMArena WebDev | — | 1639 |
| FrontierSWE | — | 29.5% |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), Grok 4.7: 36.7 (#37)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| APEX-Agents | — | 54.6% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| GDP.pdf | — | 22.8% |
| METR Time Horizons | 62% | — |
| Vending-Bench 2 | — | 10,537 |
Reasoning Grok 4.7 leads
Claude Sonnet 4: 22.9 (#187), Grok 4.7: 49.1 (#40)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| CritPt | 0.3% | 18% |
| LMArena Hard Prompts | 1372 | 1413 |
| DTBench | 77.1% | 96% |
| LMCA | 29% | 49.4% |
| Epoch Capabilities Index | 141.69 | 153.53 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| NYT Connections (extended) | — | 76.8% |
| ARC-AGI-1 | 40% | — |
| Chess Puzzles | — | 38% |
| EnigmaEval | 3.1% | — |
| Mystery Game Puzzles | — | 29% |
| ForecastBench | 60.2 | — |
Math Grok 4.7 leads
Claude Sonnet 4: 43.3 (#80), Grok 4.7: 57.8 (#39)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 98.1% |
| LMArena Math | 1375 | 1407 |
| FrontierMath (Tiers 1-3) | — | 53% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 34% |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Grok 4.7 leads
Claude Sonnet 4: 41.8 (#108), Grok 4.7: 62.8 (#22)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| GPQA Diamond | 79.2% | 92.7% |
| LMArena Expert | 1372 | 1422 |
| Humanity's Last Exam | 7.8% | — |
| SimpleQA Verified | — | 56% |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal Grok 4.7 leads
Claude Sonnet 4: 26.2 (#121), Grok 4.7: 35.5 (#87)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| LMArena Vision | 1191 | 1228 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 32.5% |
| Furniture Assembly | — | 20.8% |
| MindCube | 44.8% | — |
Multilingual Grok 4.7 leads
Claude Sonnet 4: 46.7 (#156), Grok 4.7: 50.8 (#116)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1333 | 1389 |
| LMArena Chinese | 1350 | 1455 |
| LMArena French | 1363 | 1455 |
| LMArena Russian | 1355 | 1397 |
| LMArena Spanish | 1357 | 1400 |
| LMArena German | 1331 | — |
| LMArena Japanese | 1302 | — |
| LMArena Korean | 1291 | — |
Instruction Following Grok 4.7 leads
Claude Sonnet 4: 71.7 (#145), Grok 4.7: 74.1 (#105)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1376 | 1404 |
| IFEval | 84% | — |
Long Context Grok 4.7 leads
Claude Sonnet 4: 33.7 (#259), Grok 4.7: 43.1 (#104)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1398 | 1413 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Grok 4.7 leads
Claude Sonnet 4: 57.1 (#132), Grok 4.7: 70.0 (#24)
| Benchmark | Claude Sonnet 4 | Grok 4.7 |
|---|---|---|
| LMArena Text | 1351 | 1399 |
| LMArena Creative Writing | 1345 | 1391 |
| EQ-Bench Creative Writing | 1483 | 2007 |
| LMArena Multi-Turn | 1376 | 1393 |
| Short-Story Creative Writing | 81.4% | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Grok 4.7?
Grok 4.7 is the stronger model overall, scoring 53.1 to 40.8 on the Noometry Index.
Which is cheaper, Claude Sonnet 4 or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 200K.
How many benchmarks do Claude Sonnet 4 and Grok 4.7 share?
23 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Grok 4.7 has 39.