GPT-5.6 Terra vs Grok 4.6
Updated October 21, 2026. 116 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 69.0 for GPT-5.6 Terra.
Pick GPT-5.6 Terra when a solved task costs $0.42 against $0.82, or when the context window is larger, 1.05M against 500K tokens.
- Shared results
- 116
- GPT-5.6 Terra only
- 8
- Grok 4.6 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
Grok 4.6
Grok 4.6 scores 76.4 against 69.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.6
Grok 4.6 leads, 44.3 against 42.1.
Same board, both measured
Agentic work
AA Agentic Index
Grok 4.6
Grok 4.6 leads, 53.0 against 43.2.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.6
Grok 4.6 leads, 94.7% against 90.9%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.6
Grok 4.6 leads, 89.4% against 86.7%.
Same board, both measured
Web design
Design Arena: websites
Grok 4.6
Grok 4.6 leads, 1289 against 1269.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.6
GPT-5.6 Terra $0.0080, Grok 4.6 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Terra
GPT-5.6 Terra $0.42, Grok 4.6 $0.82.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Terra 69.0 from 2 benchmarks, Grok 4.6 76.4 from 2 benchmarks.
- Widest category
- Math, 15.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- IOI (Vals AI): GPT-5.6 Terra 87.6% against Grok 4.6 47.6%, 40.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Terra $12.00 against Grok 4.6 $6.00 per million output tokens, 2.0x apart.
- Context window
- GPT-5.6 Terra takes 1.05M tokens, Grok 4.6 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-5.6 Terra | Bars | Grok 4.6 | Ties |
|---|---|---|---|---|
| Coding | 10 | 13 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 4 | 14 | ||
| Reasoning | 9 | 6 | ||
| Math | 6 | 0 | ||
| Knowledge | 6 | 5 | ||
| Web design | 0 | 9 | ||
| General | 24 | 8 | ||
| All shared boards | 60 | 56 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index1013
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| LiveBench coding | 86.2% | 89.1% | Grok 4.6 |
| LMArena WebDev | 1522 | 1617 | Grok 4.6 |
| AA Coding Index | 76.7 | 76.8 | Grok 4.6 |
| LiveCodeBench (Vals AI) | 85.9% | 88.2% | Grok 4.6 |
| SWE-bench Verified (Vals AI) | 95.4% | 95.6% | Grok 4.6 |
| Terminal-Bench 4 (Vals AI) | 22.7% | 17.2% | GPT-5.6 Terra |
| Vibe Code Bench (Vals AI) | 74.6% | 76.2% | Grok 4.6 |
| Code migration (Vals AI) | 47.8% | 44.6% | GPT-5.6 Terra |
| ProgramBench (Vals AI) | 0.5% | 1.0% | Grok 4.6 |
| IOI (Vals AI) | 87.6% | 47.6% | GPT-5.6 Terra |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 78.3% | Grok 4.6 |
| Vibe Code Bench 1-100 (Vals AI) | 14.8% | 14.8% | GPT-5.6 Terra |
| SkillsBench (Vals AI) | 58.9% | 55.8% | GPT-5.6 Terra |
| CyberBench (Vals AI) | 72.1% | 67.7% | GPT-5.6 Terra |
| SciCode | 55.0% | 56.5% | Grok 4.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | Not measured | Only GPT-5.6 Terra measured |
| FrontierCode | 41.3% | 48.0% | Grok 4.6 |
| FrontierSWE | Not measured | 25.3% | Only Grok 4.6 measured |
| WeirdML | 78.3% | 67.3% | GPT-5.6 Terra |
| ALE-Bench | 1951.4 | 1508.1 | GPT-5.6 Terra |
| LMArena Text: coding | 1485 | 1466 | GPT-5.6 Terra |
| LMArena Text: software and IT | 1482 | 1457 | GPT-5.6 Terra |
| LMArena WebDev: React | 1513 | 1631 | Grok 4.6 |
| LMArena WebDev: HTML | 1526 | 1597 | Grok 4.6 |
| LMArena WebDev: from an image | 1541 | 1603 | Grok 4.6 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 42.1 | 44.3 | Grok 4.6 |
| Epoch Capabilities Index | 160.1 | 156.6 | GPT-5.6 Terra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index414
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 53.0 | Grok 4.6 |
| Design Arena: agents building web apps | 1120 | 1247 | Grok 4.6 |
| Design Arena: agents building full-stack apps | 1061 | 1264 | Grok 4.6 |
| Design Arena: agents building mobile apps | 1112 | 1234 | Grok 4.6 |
| Design Arena: agents building Android apps | 1066 | 1297 | Grok 4.6 |
| Design Arena: agents building Godot games | Not measured | 1276 | Only Grok 4.6 measured |
| Design Arena: agents building games | 1082 | 1208 | Grok 4.6 |
| Design Arena: HTML slides | 1108 | 1249 | Grok 4.6 |
| Design Arena: PowerPoint slides | 1130 | 1241 | Grok 4.6 |
| LiveBench research | 60.4% | 84.5% | Grok 4.6 |
| LiveBench browser | 84.0% | 64.0% | GPT-5.6 Terra |
| LiveBench long agentic | 48.4% | 40.7% | GPT-5.6 Terra |
| SREBench (Vals AI) | 9.5% | Not measured | Only GPT-5.6 Terra measured |
| Finance Agent (Vals AI) | 54.4% | 53.7% | GPT-5.6 Terra |
| Tax Agent Bench (Vals AI) | 30.0% | 33.1% | Grok 4.6 |
| Legal Research Bench (Vals AI) | 41.4% | 48.1% | Grok 4.6 |
| Excel Modeling Benchmark (Vals AI) | 66.2% | 62.7% | GPT-5.6 Terra |
| BioMysteryBench (Vals AI) | Not measured | 72.2% | Only Grok 4.6 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | 11.4% | Grok 4.6 |
| Vals Science Index | Not measured | 38.1% | Only Grok 4.6 measured |
| Time Horizon Index (Vals AI) | Not measured | 5.8% | Only Grok 4.6 measured |
| τ²-Bench Telecom | 86.3% | Not measured | Only GPT-5.6 Terra measured |
| APEX-Agents | 58.2% | 65.3% | Grok 4.6 |
| BALROG | 53.2% | Not measured | Only GPT-5.6 Terra measured |
| Vending-Bench 2 | $7,343 | $9,047 | Grok 4.6 |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index96
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 90.9% | 94.7% | Grok 4.6 |
| LiveBench reasoning | 90.6% | 91.2% | Grok 4.6 |
| MysteryMechanism (Vals AI) | Not measured | 30.6% | Only Grok 4.6 measured |
| MMMU Pro (Vals AI) | 86.5% | Not measured | Only GPT-5.6 Terra measured |
| GPQA Diamond (Artificial Analysis run) | 92.5% | 94.9% | Grok 4.6 |
| Humanity's Last Exam (Artificial Analysis run) | 42.9% | 44.1% | Grok 4.6 |
| GPQA Diamond (Epoch AI run) | 93.3% | 94.0% | Grok 4.6 |
| ARC-AGI | 96.5% | 87.5% | GPT-5.6 Terra |
| ARC-AGI-2 | 83.9% | 67.1% | GPT-5.6 Terra |
| SimpleBench | 48.9% | 75.9% | Grok 4.6 |
| Chess puzzles | 47.0% | 33.0% | GPT-5.6 Terra |
| Mystery game puzzles | 35.0% | 34.0% | GPT-5.6 Terra |
| EBR-bench | Not measured | 30.5% | Only Grok 4.6 measured |
| LMArena Text: hard prompts | 1469 | 1448 | GPT-5.6 Terra |
| LMArena Text: expert | 1496 | 1469 | GPT-5.6 Terra |
| LMArena Text: hard prompts in English | 1465 | 1445 | GPT-5.6 Terra |
| LMArena Vision: diagrams | 1295 | 1285 | GPT-5.6 Terra |
| LMArena Vision: homework | 1312 | 1283 | GPT-5.6 Terra |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | 99.2% | GPT-5.6 Terra |
| FrontierMath, tiers 1 to 3 | 86.0% | 66.0% | GPT-5.6 Terra |
| FrontierMath, tier 4 | 70.7% | 31.7% | GPT-5.6 Terra |
| ProofBench | 74.0% | 51.0% | GPT-5.6 Terra |
| LMArena Text: math | 1465 | 1417 | GPT-5.6 Terra |
| LMArena Text: mathematical work | 1478 | 1464 | GPT-5.6 Terra |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| MMLU Pro | 86.7% | 89.4% | Grok 4.6 |
| LegalBench (Vals AI) | 85.1% | 86.3% | Grok 4.6 |
| CorpFin (Vals AI) | 65.3% | 66.2% | Grok 4.6 |
| TaxEval (Vals AI) | 76.2% | 71.1% | GPT-5.6 Terra |
| MortgageTax (Vals AI) | 67.3% | 64.2% | GPT-5.6 Terra |
| MedCode (Vals AI) | 43.4% | 44.7% | Grok 4.6 |
| SimpleQA Verified | 43.2% | 49.3% | Grok 4.6 |
| LMArena Text: science | 1452 | 1437 | GPT-5.6 Terra |
| LMArena Text: medicine and healthcare | 1430 | 1420 | GPT-5.6 Terra |
| LMArena Text: legal and government | 1461 | 1429 | GPT-5.6 Terra |
| LMArena Text: business and finance | 1448 | 1416 | GPT-5.6 Terra |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | 1289 | Grok 4.6 |
| Design Arena: UI components | 1259 | 1294 | Grok 4.6 |
| Design Arena: game dev | 1230 | 1296 | Grok 4.6 |
| Design Arena: data viz | 1240 | 1283 | Grok 4.6 |
| Design Arena: 3D | 1135 | 1277 | Grok 4.6 |
| Design Arena: all code categories | 1241 | 1292 | Grok 4.6 |
| Design Arena: SVG | 1220 | 1239 | Grok 4.6 |
| Design Arena: ASCII art | 1177 | 1278 | Grok 4.6 |
| LiveBench design | 76.0% | 79.8% | Grok 4.6 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index248
| Benchmark | GPT-5.6 Terra | Grok 4.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | 75.3% | GPT-5.6 Terra |
| Public Benefits Bench (Vals AI) | 62.4% | 66.8% | Grok 4.6 |
| SAGE (Vals AI) | 47.0% | 28.9% | GPT-5.6 Terra |
| MedScribe (Vals AI) | 82.9% | 86.5% | Grok 4.6 |
| Vals Multimodal Index | 65.1% | Not measured | Only GPT-5.6 Terra measured |
| IFBench | 71.2% | Not measured | Only GPT-5.6 Terra measured |
| Long context reasoning (AA-LCR) | 83.0% | 81.0% | GPT-5.6 Terra |
| DTBench | 93.3% | 97.3% | Grok 4.6 |
| LMCA | 54.9% | 48.5% | GPT-5.6 Terra |
| Surface Evolver Bench | 83.8% | Not measured | Only GPT-5.6 Terra measured |
| Furniture assembly | 54.2% | 40.0% | GPT-5.6 Terra |
| LMArena Text | 1448 | 1429 | GPT-5.6 Terra |
| LMArena Text: instruction following | 1456 | 1431 | GPT-5.6 Terra |
| LMArena Text: creative writing | 1413 | 1426 | Grok 4.6 |
| LMArena Vision | 1271 | 1263 | GPT-5.6 Terra |
| LMArena Text: English | 1449 | 1433 | GPT-5.6 Terra |
| LMArena Text: non-English | 1441 | 1420 | GPT-5.6 Terra |
| LMArena Text: Chinese | 1514 | 1476 | GPT-5.6 Terra |
| LMArena Text: German | 1460 | 1426 | GPT-5.6 Terra |
| LMArena Text: Japanese | 1454 | 1378 | GPT-5.6 Terra |
| LMArena Text: Korean | 1427 | 1391 | GPT-5.6 Terra |
| LMArena Text: French | 1466 | 1455 | GPT-5.6 Terra |
| LMArena Text: Spanish | 1451 | 1414 | GPT-5.6 Terra |
| LMArena Text: Russian | 1452 | 1421 | GPT-5.6 Terra |
| LMArena Text: Polish | 1446 | 1430 | GPT-5.6 Terra |
| LMArena Text: multi-turn | 1453 | 1425 | GPT-5.6 Terra |
| LMArena Text: longer queries | 1454 | 1456 | Grok 4.6 |
| LMArena Text: writing and language | 1431 | 1429 | GPT-5.6 Terra |
| LMArena Text: entertainment and media | 1418 | 1421 | Grok 4.6 |
| LMArena Vision: English | 1272 | 1270 | GPT-5.6 Terra |
| LMArena Vision: Chinese | 1337 | 1289 | GPT-5.6 Terra |
| LMArena Vision: reading text | 1278 | 1272 | GPT-5.6 Terra |
| LMArena Vision: humor | 1236 | 1270 | Grok 4.6 |
| LMArena Vision: creative writing | 1248 | 1262 | Grok 4.6 |
| LMArena Document | 1472 | 1452 | GPT-5.6 Terra |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Terra | Grok 4.6 | 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 4.6 costs less
Repository review
50K input + 3K output tokens
Grok 4.6 costs less
Agent loop
200K input + 10K output tokens
Grok 4.6 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-5.6 Terra | SpaceXAI Grok 4.6 |
|---|---|---|
| Maker | OpenAI | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | July 9, 2026 | August 12, 2026 |
| Context window | 1.05M | 500K |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $12.00 | $6.00 |
| Coding index | 69.0 | 76.4 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.42 | $0.82 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Terra better than Grok 4.6 for coding?
Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 69.0 for GPT-5.6 Terra. Pick GPT-5.6 Terra when a solved task costs $0.42 against $0.82, or when the context window is larger, 1.05M against 500K tokens.
Which is cheaper, GPT-5.6 Terra or Grok 4.6?
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and Grok 4.6 $0.82.
Which has the bigger context window, GPT-5.6 Terra or Grok 4.6?
GPT-5.6 Terra, with 1.05M tokens against 500K.
How many benchmarks is the GPT-5.6 Terra vs Grok 4.6 comparison based on?
116 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Terra's coding index rests on 2 independent benchmarks and Grok 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.