Model comparison
Claude Sonnet 4.6 vs Grok 4.6
Grok 4.6 is the stronger model overall, scoring 56.9 to 50.3 on the Noometry Index.
Last verified . 42 shared benchmarks.
Summary
- They share 42 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 4 categories and Grok 4.6 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 46.1.
- The biggest single-benchmark swing is DeepSWE: 29.9% for Claude Sonnet 4.6 and 67.5% for Grok 4.6.
- Grok 4.6 is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 500K.
Side by side
| Claude Sonnet 4.6 | Grok 4.6 | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 50.3 | 56.9 |
| Released | 2026-02-17 | 2026-08-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 500K |
| Max output | 128K | 500K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $6 |
| Results tracked | 57 | 49 |
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Category by category
Coding Grok 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Grok 4.6: 58.5 (#16)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| DeepSWE | 29.9% | 67.5% |
| FrontierCode | 24.3% | 48% |
| LMArena WebDev | 1522 | 1617 |
| SciCode | 46.8% | 56.5% |
| WeirdML | 66.1% | 67.3% |
| LMArena Coding | 1504 | 1465 |
| ALE-Bench | 1,327 | 1,508 |
| SWE-bench Verified | 75.2% | — |
| CursorBench | — | 41.4% |
| FrontierSWE | — | 25.3% |
Agentic & Tool Use Too close to call
Claude Sonnet 4.6: 39.1 (#28), Grok 4.6: 39.4 (#27)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| APEX-Agents | 43% | 65.3% |
| GDP.pdf | 18% | 17.2% |
| Vending-Bench 2 | 7,204 | 9,047 |
| Terminal-Bench | 53.4% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| LMArena Search | 1221 | — |
Reasoning Grok 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Grok 4.6: 61.4 (#20)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| ARC-AGI-2 | 60.4% | 67.1% |
| NYT Connections (extended) | 80.9% | 80% |
| ARC-AGI-1 | 86.5% | 87.5% |
| CritPt | 3.1% | 19.7% |
| Chess Puzzles | 13% | 40% |
| LMArena Hard Prompts | 1484 | 1447 |
| Mystery Game Puzzles | 16% | 34% |
| DTBench | 89.9% | 97.3% |
| LMCA | 46.5% | 48.5% |
| Epoch Capabilities Index | 152.24 | 156.44 |
| SimpleBench | — | 75.9% |
| Thematic Generalization | 76.3% | — |
| EBR-Bench | — | 30.5% |
| ForecastBench | 62 | — |
Math Grok 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Grok 4.6: 67.0 (#24)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 99.2% |
| ProofBench | 45% | 51% |
| LMArena Math | 1462 | 1423 |
| FrontierMath (Tiers 1-3) | — | 66% |
| FrontierMath Tier 4 | — | 31.7% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Grok 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Grok 4.6: 63.3 (#20)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| GPQA Diamond | 87.4% | 94% |
| SimpleQA Verified | 35.5% | 49.3% |
| LMArena Expert | 1500 | 1467 |
| Vectara Hallucination Rate | 10.6% | — |
Multimodal Grok 4.6 leads
Claude Sonnet 4.6: 38.0 (#68), Grok 4.6: 43.6 (#23)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| LMArena Vision | 1283 | 1263 |
| Blueprint-Bench 2 | 6.7% | 33.2% |
| LMArena Document | 1482 | 1452 |
| Furniture Assembly | — | 40% |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Grok 4.6: 53.0 (#74)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| LMArena Non-English | 1440 | 1420 |
| LMArena Chinese | 1491 | 1480 |
| LMArena French | 1465 | 1461 |
| LMArena German | 1428 | 1431 |
| LMArena Japanese | 1420 | 1376 |
| LMArena Korean | 1411 | 1397 |
| LMArena Russian | 1440 | 1422 |
| LMArena Spanish | 1464 | 1404 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Grok 4.6: 75.4 (#63)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| LMArena Instruction Following | 1475 | 1431 |
Long Context Too close to call
Claude Sonnet 4.6: 45.3 (#44), Grok 4.6: 44.5 (#66)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| LMArena Longer Query | 1479 | 1454 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Grok 4.6: 62.3 (#80)
| Benchmark | Claude Sonnet 4.6 | Grok 4.6 |
|---|---|---|
| LMArena Text | 1458 | 1428 |
| LMArena Creative Writing | 1435 | 1428 |
| LMArena Multi-Turn | 1464 | 1425 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Grok 4.6?
Grok 4.6 is the stronger model overall, scoring 56.9 to 50.3 on the Noometry Index.
Which is cheaper, Claude Sonnet 4.6 or Grok 4.6?
Grok 4.6 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Grok 4.6 better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 46.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 500K.
How many benchmarks do Claude Sonnet 4.6 and Grok 4.6 share?
42 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Grok 4.6 has 49.