GPT-6 Sol vs Grok 4.7
Updated October 21, 2026. 92 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-6 Sol for coding: it scores 82.8 on the Vibe Coding Index against 75.0 for Grok 4.7.
Pick Grok 4.7 when output tokens cost 1.7x less, or when what matters is SciCode or LiveBench research, where it leads.
- Shared results
- 92
- GPT-6 Sol only
- 8
- Grok 4.7 only
- 7
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
GPT-6 Sol
GPT-6 Sol scores 82.8 against 75.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6 Sol
GPT-6 Sol leads, 47.6 against 46.4.
Same board, both measured
Web design
Design Arena: websites
GPT-6 Sol
GPT-6 Sol leads, 1292 against 1255.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
GPT-6 Sol
GPT-6 Sol takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.7
GPT-6 Sol $0.0070, Grok 4.7 $0.0050 per turn.
List prices
At a glance
- Coding index
- GPT-6 Sol 82.8 from 2 benchmarks, Grok 4.7 75.0 from 2 benchmarks.
- Widest category
- Math, 28.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: GPT-6 Sol 90.0% against Grok 4.7 17.1%, 72.9 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Sol $10.00 against Grok 4.7 $6.00 per million output tokens, 1.7x apart.
- Context window
- GPT-6 Sol takes 1.05M tokens, Grok 4.7 500K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-6 Sol | Bars | Grok 4.7 | Ties |
|---|---|---|---|---|
| Coding | 15 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 8 | 5 | ||
| Reasoning | 10 | 3 | ||
| Math | 4 | 2 | ||
| Knowledge | 1 | 5 | ||
| Web design | 6 | 1 | ||
| General | 16 | 13 | ||
| All shared boards | 62 | 30 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index151
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| LiveBench coding | 93.1% | 84.5% | GPT-6 Sol |
| LMArena WebDev | 1683 | 1637 | GPT-6 Sol |
| Terminal-Bench 4 (Vals AI) | 44.4% | 28.8% | GPT-6 Sol |
| Vibe Code Bench (Vals AI) | 87.8% | 86.2% | GPT-6 Sol |
| Code migration (Vals AI) | 57.2% | 44.8% | GPT-6 Sol |
| ProgramBench (Vals AI) | 2.0% | 0.5% | GPT-6 Sol |
| IOI (Vals AI) | 82.6% | 57.7% | GPT-6 Sol |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 73.4% | GPT-6 Sol |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.9% | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 78.0% | 69.5% | GPT-6 Sol |
| SciCode | 57.6% | 57.8% | Grok 4.7 |
| FrontierCode | 49.3% | 47.6% | GPT-6 Sol |
| FrontierSWE | Not measured | 29.5% | Only Grok 4.7 measured |
| ALE-Bench | 2462.0 | Not measured | Only GPT-6 Sol measured |
| LMArena Text: coding | 1448 | 1432 | GPT-6 Sol |
| LMArena Text: software and IT | 1433 | 1421 | GPT-6 Sol |
| LMArena WebDev: React | 1685 | 1663 | GPT-6 Sol |
| LMArena WebDev: HTML | 1685 | 1627 | GPT-6 Sol |
| LMArena WebDev: from an image | 1660 | 1586 | GPT-6 Sol |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 47.6 | 46.4 | GPT-6 Sol |
| Epoch Capabilities Index | 163.7 | 154.4 | GPT-6 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index85
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1232 | Not measured | Only GPT-6 Sol measured |
| Design Arena: agents building full-stack apps | 1238 | Not measured | Only GPT-6 Sol measured |
| Design Arena: agents building mobile apps | 1216 | Not measured | Only GPT-6 Sol measured |
| LiveBench research | 69.3% | 86.4% | Grok 4.7 |
| LiveBench browser | 92.0% | 60.0% | GPT-6 Sol |
| LiveBench long agentic | 66.9% | 50.1% | GPT-6 Sol |
| SREBench (Vals AI) | 30.5% | 3.8% | GPT-6 Sol |
| Finance Agent (Vals AI) | 49.0% | 52.3% | Grok 4.7 |
| Tax Agent Bench (Vals AI) | 15.0% | 34.2% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 28.9% | 47.1% | Grok 4.7 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 18.3% | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 71.5% | 67.0% | GPT-6 Sol |
| BioMysteryBench (Vals AI) | 74.8% | 69.3% | GPT-6 Sol |
| Terminal-Bench-Science (Vals AI) | 30.0% | 10.0% | GPT-6 Sol |
| Vals Science Index | 45.0% | 34.8% | GPT-6 Sol |
| Robo-bench (Vals AI) | Not measured | 0.2% | Only Grok 4.7 measured |
| APEX-Agents | 54.3% | 54.6% | Grok 4.7 |
| SpireClimb | 7.5% | Not measured | Only GPT-6 Sol measured |
| Vending-Bench 2 | $14,428 | $10,537 | GPT-6 Sol |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | 82.7% | GPT-6 Sol |
| MysteryMechanism (Vals AI) | 30.2% | 25.2% | GPT-6 Sol |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 43.1% | GPT-6 Sol |
| GPQA Diamond (Epoch AI run) | 94.3% | 92.7% | GPT-6 Sol |
| ARC-AGI | 95.5% | 90.2% | GPT-6 Sol |
| ARC-AGI-2 | 89.6% | 61.4% | GPT-6 Sol |
| Chess puzzles | 56.0% | 41.0% | GPT-6 Sol |
| Mystery game puzzles | 56.0% | 29.0% | GPT-6 Sol |
| EBR-bench | 53.3% | Not measured | Only GPT-6 Sol measured |
| LMArena Text: hard prompts | 1422 | 1415 | GPT-6 Sol |
| LMArena Text: expert | 1437 | 1439 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1420 | 1427 | Grok 4.7 |
| LMArena Vision: diagrams | 1270 | 1254 | GPT-6 Sol |
| LMArena Vision: homework | 1286 | 1309 | Grok 4.7 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 98.1% | GPT-6 Sol |
| FrontierMath, tiers 1 to 3 | 89.8% | 53.0% | GPT-6 Sol |
| FrontierMath, tier 4 | 90.0% | 17.1% | GPT-6 Sol |
| ProofBench | 83.0% | 26.0% | GPT-6 Sol |
| LMArena Text: math | 1407 | 1414 | Grok 4.7 |
| LMArena Text: mathematical work | 1424 | 1435 | Grok 4.7 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 84.4% | Only Grok 4.7 measured |
| MedCode (Vals AI) | 47.1% | 49.5% | Grok 4.7 |
| SimpleQA Verified | 60.7% | 56.0% | GPT-6 Sol |
| LMArena Text: science | 1389 | 1419 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1366 | 1395 | Grok 4.7 |
| LMArena Text: legal and government | 1396 | 1423 | Grok 4.7 |
| LMArena Text: business and finance | 1380 | 1389 | Grok 4.7 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1292 | 1255 | GPT-6 Sol |
| Design Arena: UI components | 1292 | 1271 | GPT-6 Sol |
| Design Arena: game dev | 1313 | 1314 | Grok 4.7 |
| Design Arena: data viz | 1269 | 1227 | GPT-6 Sol |
| Design Arena: 3D | 1322 | 1269 | GPT-6 Sol |
| Design Arena: all code categories | 1301 | 1271 | GPT-6 Sol |
| Design Arena: SVG | 1318 | Not measured | Only GPT-6 Sol measured |
| Design Arena: ASCII art | 1226 | Not measured | Only GPT-6 Sol measured |
| LiveBench design | 82.2% | 78.0% | GPT-6 Sol |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1613
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 58.6% | Only Grok 4.7 measured |
| LiveBench data analysis | 81.2% | 76.9% | GPT-6 Sol |
| Public Benefits Bench (Vals AI) | 56.6% | 65.6% | Grok 4.7 |
| SAGE (Vals AI) | 44.8% | 40.8% | GPT-6 Sol |
| MedScribe (Vals AI) | 82.0% | 89.4% | Grok 4.7 |
| Long context reasoning (AA-LCR) | 83.7% | 80.0% | GPT-6 Sol |
| DTBench | 97.3% | 96.0% | GPT-6 Sol |
| LMCA | 59.1% | 49.4% | GPT-6 Sol |
| Furniture assembly | 58.3% | 20.8% | GPT-6 Sol |
| LMArena Text | 1398 | 1399 | Grok 4.7 |
| LMArena Text: instruction following | 1413 | 1406 | GPT-6 Sol |
| LMArena Text: creative writing | 1378 | 1381 | Grok 4.7 |
| LMArena Vision | 1240 | 1231 | GPT-6 Sol |
| LMArena Text: English | 1396 | 1411 | Grok 4.7 |
| LMArena Text: non-English | 1388 | 1386 | GPT-6 Sol |
| LMArena Text: Chinese | 1412 | 1449 | Grok 4.7 |
| LMArena Text: German | 1379 | 1366 | GPT-6 Sol |
| LMArena Text: Japanese | 1377 | 1359 | GPT-6 Sol |
| LMArena Text: Korean | 1336 | 1383 | Grok 4.7 |
| LMArena Text: French | 1399 | 1431 | Grok 4.7 |
| LMArena Text: Spanish | 1387 | 1406 | Grok 4.7 |
| LMArena Text: Russian | 1402 | 1399 | GPT-6 Sol |
| LMArena Text: Polish | 1372 | 1420 | Grok 4.7 |
| LMArena Text: multi-turn | 1414 | 1394 | GPT-6 Sol |
| LMArena Text: longer queries | 1416 | 1416 | Grok 4.7 |
| LMArena Text: writing and language | 1389 | 1394 | Grok 4.7 |
| LMArena Text: entertainment and media | 1373 | 1376 | Grok 4.7 |
| LMArena Vision: English | 1229 | 1229 | GPT-6 Sol |
| LMArena Vision: Chinese | Not measured | 1250 | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1258 | 1241 | GPT-6 Sol |
| LMArena Vision: creative writing | 1219 | 1217 | GPT-6 Sol |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Sol | Grok 4.7 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Grok 4.7 costs less
Repository review
50K input + 3K output tokens
Grok 4.7 costs less
Agent loop
200K input + 10K output tokens
Grok 4.7 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-6 Sol | SpaceXAI Grok 4.7 |
|---|---|---|
| Maker | OpenAI | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | September 21, 2026 |
| Context window | 1.05M | 500K |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $6.00 |
| Coding index | 82.8 | 75.0 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Sol better than Grok 4.7 for coding?
Pick GPT-6 Sol for coding: it scores 82.8 on the Vibe Coding Index against 75.0 for Grok 4.7. Pick Grok 4.7 when output tokens cost 1.7x less, or when what matters is SciCode or LiveBench research, where it leads.
Which is cheaper, GPT-6 Sol or Grok 4.7?
GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Sol or Grok 4.7?
GPT-6 Sol, with 1.05M tokens against 500K.
How many benchmarks is the GPT-6 Sol vs Grok 4.7 comparison based on?
92 benchmarks have a result for both models as of October 21, 2026. GPT-6 Sol's coding index rests on 2 independent benchmarks and Grok 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.