Claude Sonnet 4.6 vs GPT-6.1 Terra
GPT-6.1 Terra leads Claude Sonnet 4.6 on coding, 77.4 to 55.0 on the Vibe Coding Index, and GPT-6.1 Terra costs 3.0x less per output token ($5.00 vs $15.00 per million). Updated October 29, 2026; 18 benchmarks have a result for both.
vs boards won of 18 shared
Claude Sonnet 4.6 or GPT-6.1 Terra: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 55.0 for Claude Sonnet 4.6.
Pick Claude Sonnet 4.6 for work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Model AClaude Sonnet 4.6Anthropic55.0/1004 independent benchmarks$1.68 per solved taskModel BGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved task
- Shared results
- 18
- Claude Sonnet 4.6 only
- 96
- GPT-6.1 Terra only
- 18
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 55.0.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.6 has a AA Agentic Index result, 31.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 4.6 has a GPQA Diamond result, 85.6%.
Directional only
Math
AIME
No call
Only Claude Sonnet 4.6 has a AIME result, 92.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 4.6 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 4.6
Claude Sonnet 4.6 leads, 1284 against 1283.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Terra has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6.1 Terra
Claude Sonnet 4.6 $0.011, GPT-6.1 Terra $0.0035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.6 has the number, $1.68.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.6 55.0 from 4 benchmarks, GPT-6.1 Terra 77.4 from 4 benchmarks.
- Widest category
- Reasoning, 25.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- Mystery game puzzles: Claude Sonnet 4.6 16.0% against GPT-6.1 Terra 74.0%, 58.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.6 $15.00 against GPT-6.1 Terra $5.00 per million output tokens, 3.0x apart.
- Context window
- Claude Sonnet 4.6 takes 1M tokens, GPT-6.1 Terra 1.05M.
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 | Claude Sonnet 4.6 | Bars | GPT-6.1 Terra | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Agentic work | 2 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 1 | ||
| Web design | 1 | 3 | ||
| General | 0 | 1 | ||
| All shared boards | 3 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 94.3% | Only GPT-6.1 Terra measured |
| LMArena WebDev | 1523 | 1673 | GPT-6.1 Terra |
| AA Coding Index | 63.0 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveCodeBench (Vals AI) | 82.1% | Not measured | Only Claude Sonnet 4.6 measured |
| SWE-bench Verified (Vals AI) | 77.4% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 49.5% | Only GPT-6.1 Terra measured |
| Vibe Code Bench (Vals AI) | 55.8% | 84.0% | GPT-6.1 Terra |
| Code migration (Vals AI) | 39.9% | Not measured | Only Claude Sonnet 4.6 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench 2.1 (Vals AI) | 57.3% | Not measured | Only Claude Sonnet 4.6 measured |
| SkillsBench (Vals AI) | 49.0% | Not measured | Only Claude Sonnet 4.6 measured |
| SciCode | 50.1% | 55.1% | GPT-6.1 Terra |
| Terminal-Bench Hard (Artificial Analysis run) | 53.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench | 53.4% | Not measured | Only Claude Sonnet 4.6 measured |
| FrontierCode | 24.3% | Not measured | Only Claude Sonnet 4.6 measured |
| WeirdML | 66.1% | Not measured | Only Claude Sonnet 4.6 measured |
| ALE-Bench | Not measured | 2608.8 | Only GPT-6.1 Terra measured |
| LMArena Text: coding | 1503 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: software and IT | 1491 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena WebDev: React | 1512 | 1657 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1526 | 1719 | GPT-6.1 Terra |
| LMArena WebDev: from an image | 1529 | Not measured | Only Claude Sonnet 4.6 measured |
| SWE Atlas: Codebase QnA | 31.2% | Not measured | Only Claude Sonnet 4.6 measured |
| SWE Atlas: Refactoring | 32.2% | Not measured | Only Claude Sonnet 4.6 measured |
| SWE Atlas: Test Writing | 31.8% | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 51.0 | Only GPT-6.1 Terra measured |
| Epoch Capabilities Index | 152.8 | Not measured | Only Claude Sonnet 4.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AA Agentic Index | 31.8 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building web apps | 1192 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building full-stack apps | 1213 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building mobile apps | 1211 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building Android apps | 1194 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building Godot games | 1226 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building games | 1140 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench research | Not measured | 73.9% | Only GPT-6.1 Terra measured |
| LiveBench browser | Not measured | 93.1% | Only GPT-6.1 Terra measured |
| LiveBench long agentic | Not measured | 48.6% | Only GPT-6.1 Terra measured |
| Finance Agent (Vals AI) | 51.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Tax Agent Bench (Vals AI) | 25.8% | 15.2% | Claude Sonnet 4.6 |
| Legal Research Bench (Vals AI) | 38.5% | 26.0% | Claude Sonnet 4.6 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 1.7% | Only GPT-6.1 Terra measured |
| Excel Modeling Benchmark (Vals AI) | 60.2% | Not measured | Only Claude Sonnet 4.6 measured |
| τ²-Bench Telecom | 79.5% | Not measured | Only Claude Sonnet 4.6 measured |
| APEX-Agents | 43.0% | 68.3% | GPT-6.1 Terra |
| OSWorld 2.0 | 9.3% | Not measured | Only Claude Sonnet 4.6 measured |
| DeepResearch Bench | 54.9% | Not measured | Only Claude Sonnet 4.6 measured |
| OSWorld | 72.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Vending-Bench 2 | $7,204 | Not measured | Only Claude Sonnet 4.6 measured |
| MCP Atlas | 69.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| GPQA Diamond | 85.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench reasoning | Not measured | 88.7% | Only GPT-6.1 Terra measured |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Claude Sonnet 4.6 measured |
| GPQA Diamond (Artificial Analysis run) | 87.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Humanity's Last Exam (Artificial Analysis run) | 33.6% | 46.2% | GPT-6.1 Terra |
| GPQA Diamond (Epoch AI run) | 87.4% | 94.3% | GPT-6.1 Terra |
| ARC-AGI | 86.5% | Not measured | Only Claude Sonnet 4.6 measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Claude Sonnet 4.6 measured |
| Chess puzzles | 23.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Mystery game puzzles | 16.0% | 74.0% | GPT-6.1 Terra |
| EBR-bench | Not measured | 78.1% | Only GPT-6.1 Terra measured |
| LMArena Text: hard prompts | 1484 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: expert | 1500 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: hard prompts in English | 1493 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: diagrams | 1306 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 4.6 measured |
| Humanity's Last Exam (Scale run) | Not measured | 35.7% | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AIME | 92.3% | Not measured | Only Claude Sonnet 4.6 measured |
| OTIS Mock AIME | 85.8% | 100.0% | GPT-6.1 Terra |
| FrontierMath, tiers 1 to 3 | Not measured | 90.9% | Only GPT-6.1 Terra measured |
| FrontierMath, tier 4 | Not measured | 92.7% | Only GPT-6.1 Terra measured |
| ProofBench | 45.0% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: math | 1462 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: mathematical work | 1483 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | Not measured | Only Claude Sonnet 4.6 measured |
| LegalBench (Vals AI) | 82.1% | Not measured | Only Claude Sonnet 4.6 measured |
| CaseLaw (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.6 measured |
| CorpFin (Vals AI) | 65.3% | Not measured | Only Claude Sonnet 4.6 measured |
| TaxEval (Vals AI) | 77.1% | Not measured | Only Claude Sonnet 4.6 measured |
| MortgageTax (Vals AI) | 67.7% | Not measured | Only Claude Sonnet 4.6 measured |
| MedQA (Vals AI) | 92.1% | Not measured | Only Claude Sonnet 4.6 measured |
| SimpleQA Verified | 35.5% | 57.3% | GPT-6.1 Terra |
| LMArena Text: science | 1475 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: medicine and healthcare | 1450 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: legal and government | 1470 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: business and finance | 1464 | Not measured | Only Claude Sonnet 4.6 measured |
| FACTS Benchmark Suite | 32.6% | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Design Arena: websites | 1284 | 1283 | Claude Sonnet 4.6 |
| Design Arena: UI components | 1266 | 1277 | GPT-6.1 Terra |
| Design Arena: game dev | 1258 | 1348 | GPT-6.1 Terra |
| Design Arena: data viz | 1279 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: 3D | 1231 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: all code categories | 1274 | 1295 | GPT-6.1 Terra |
| Design Arena: SVG | 1194 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: ASCII art | 1233 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench design | Not measured | 82.3% | Only GPT-6.1 Terra measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Vals Index | Not measured | 60.5% | Only GPT-6.1 Terra measured |
| LiveBench data analysis | Not measured | 82.3% | Only GPT-6.1 Terra measured |
| Public Benefits Bench (Vals AI) | 62.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Vals Multimodal Index | 60.6% | Not measured | Only Claude Sonnet 4.6 measured |
| IFBench | 56.6% | Not measured | Only Claude Sonnet 4.6 measured |
| Long context reasoning (AA-LCR) | 80.0% | 82.7% | GPT-6.1 Terra |
| DTBench | 89.9% | Not measured | Only Claude Sonnet 4.6 measured |
| LMCA | 46.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Furniture assembly | Not measured | 79.2% | Only GPT-6.1 Terra measured |
| ExploitBench | 23.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text | 1458 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: instruction following | 1476 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: creative writing | 1435 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision | 1283 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: English | 1472 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: non-English | 1440 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Chinese | 1491 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: German | 1428 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Japanese | 1420 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Korean | 1410 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: French | 1465 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Spanish | 1463 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Russian | 1440 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: Polish | 1442 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: multi-turn | 1463 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: longer queries | 1479 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: writing and language | 1444 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: entertainment and media | 1431 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: English | 1298 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: Chinese | 1307 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: reading text | 1296 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: humor | 1248 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: recognizing things | 1195 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: creative writing | 1272 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Document | 1482 | Not measured | Only Claude Sonnet 4.6 measured |
| MultiChallenge | Not measured | 74.2% | Only GPT-6.1 Terra measured |
| EQ-Bench 4 | 1197 | Not measured | Only Claude Sonnet 4.6 measured |
| 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 | Claude Sonnet 4.6 | GPT-6.1 Terra | 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
Claude Sonnet 4.6$0.011Fits in one request
GPT-6.1 Terra$0.0035Fits in one request
GPT-6.1 Terra costs less
Repository review
50K input + 3K output tokens
Claude Sonnet 4.6$0.195Fits in one request
GPT-6.1 Terra$0.065Fits in one request
GPT-6.1 Terra costs less
Agent loop
200K input + 10K output tokens
Claude Sonnet 4.6$0.750Fits in one request
GPT-6.1 Terra$0.250Fits in one request
GPT-6.1 Terra 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 | Anthropic Claude Sonnet 4.6 | OpenAI GPT-6.1 Terra |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | February 17, 2026 | October 26, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $3.00 | $1.00 |
| Output $/Mtok | $15.00 | $5.00 |
| Coding index | 55.0 | 77.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $1.68 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.6 better than GPT-6.1 Terra for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 55.0 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 for work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, Claude Sonnet 4.6 or GPT-6.1 Terra?
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-6.1 Terra costs $1.00 and $5.00. Cost per solved task is known for Claude Sonnet 4.6 only.
Which has the bigger context window, Claude Sonnet 4.6 or GPT-6.1 Terra?
GPT-6.1 Terra, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 4.6 vs GPT-6.1 Terra comparison based on?
18 benchmarks have a result for both models as of October 29, 2026. Claude Sonnet 4.6's coding index rests on 4 independent benchmarks and GPT-6.1 Terra's on 4. Where only one model has a result, the page says so instead of naming a winner.