GPT-6.1 Terra vs Inkling
GPT-6.1 Terra leads Inkling on coding, 77.4 to 31.6 on the Vibe Coding Index, and Inkling costs 1.2x less per output token ($4.05 vs $5.00 per million). Updated October 29, 2026; 32 benchmarks have a result for both.
GPT-6.1 Terra or Inkling: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 31.6 for Inkling, though on 4 benchmarks against 6.
Pick Inkling for output tokens 1.2x cheaper ($4.05 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 32
- GPT-6.1 Terra only
- 4
- Inkling only
- 73
- Like-for-like categories
- 8 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 31.6.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 51.0 against 12.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
GPT-6.1 Terra
GPT-6.1 Terra leads, 1283 against 1224.
Same board, both measured
General
Vals Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 60.5% against 29.0%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
GPT-6.1 Terra $0.0035, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling has the number, $0.76.
Directional only
At a glance
- Coding index
- GPT-6.1 Terra 77.4 from 4 benchmarks, Inkling 31.6 from 6 benchmarks.
- Widest category
- Math, 52.2 points apart on average over 3 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: GPT-6.1 Terra 92.7% against Inkling 4.9%, 87.8 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against Inkling $4.05 per million output tokens, 1.2x apart.
- Context window
- GPT-6.1 Terra takes 1.05M tokens, Inkling 524K.
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-6.1 Terra | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 3 | ||
| Reasoning | 4 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 5 | 0 | ||
| General | 3 | 0 | ||
| All shared boards | 29 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | 64.0% | GPT-6.1 Terra |
| LMArena WebDev | 1673 | 1415 | GPT-6.1 Terra |
| AA Coding Index | Not measured | 52.1 | Only Inkling measured |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | 0.5% | GPT-6.1 Terra |
| Vibe Code Bench (Vals AI) | 84.0% | 19.2% | GPT-6.1 Terra |
| Code migration (Vals AI) | Not measured | 11.8% | Only Inkling measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| SciCode | 55.1% | 47.0% | GPT-6.1 Terra |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | Not measured | 32.3% | Only Inkling measured |
| ALE-Bench | 2608.8 | 946.0 | GPT-6.1 Terra |
| LMArena Text: coding | Not measured | 1466 | Only Inkling measured |
| LMArena Text: software and IT | Not measured | 1466 | Only Inkling measured |
| LMArena WebDev: React | 1657 | 1405 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1719 | 1402 | GPT-6.1 Terra |
| SWE-Bench Pro V2 | Not measured | 89.9% | Only Inkling measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.0 | 12.5 | GPT-6.1 Terra |
| Epoch Capabilities Index | Not measured | 148.4 | Only Inkling measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Inkling measured |
| Design Arena: agents building web apps | Not measured | 1197 | Only Inkling measured |
| LiveBench research | 73.9% | 59.9% | GPT-6.1 Terra |
| LiveBench browser | 93.1% | 12.0% | GPT-6.1 Terra |
| LiveBench long agentic | 48.6% | 8.5% | GPT-6.1 Terra |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | 15.2% | 15.3% | Inkling |
| Legal Research Bench (Vals AI) | 26.0% | 28.4% | Inkling |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | 3.8% | Inkling |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| APEX-Agents | 68.3% | 33.8% | GPT-6.1 Terra |
| MCP Atlas | Not measured | 76.0% | Only Inkling measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | 88.7% | 78.3% | GPT-6.1 Terra |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 87.2% | Only Inkling measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 31.9% | GPT-6.1 Terra |
| GPQA Diamond (Epoch AI run) | 94.3% | 88.3% | GPT-6.1 Terra |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| Mystery game puzzles | 74.0% | Not measured | Only GPT-6.1 Terra measured |
| EBR-bench | 78.1% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: hard prompts | Not measured | 1452 | Only Inkling measured |
| LMArena Text: expert | Not measured | 1466 | Only Inkling measured |
| LMArena Text: hard prompts in English | Not measured | 1448 | Only Inkling measured |
| Humanity's Last Exam (Scale run) | 35.7% | 11.2% | GPT-6.1 Terra |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 88.9% | GPT-6.1 Terra |
| FrontierMath, tiers 1 to 3 | 90.9% | 33.3% | GPT-6.1 Terra |
| FrontierMath, tier 4 | 92.7% | 4.9% | GPT-6.1 Terra |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | Not measured | 1481 | Only Inkling measured |
| LMArena Text: mathematical work | Not measured | 1462 | Only Inkling measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| SimpleQA Verified | 57.3% | 40.3% | GPT-6.1 Terra |
| LMArena Text: science | Not measured | 1456 | Only Inkling measured |
| LMArena Text: medicine and healthcare | Not measured | 1449 | Only Inkling measured |
| LMArena Text: legal and government | Not measured | 1447 | Only Inkling measured |
| LMArena Text: business and finance | Not measured | 1439 | Only Inkling measured |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1283 | 1224 | GPT-6.1 Terra |
| Design Arena: UI components | 1277 | 1197 | GPT-6.1 Terra |
| Design Arena: game dev | 1348 | 1165 | GPT-6.1 Terra |
| Design Arena: data viz | Not measured | 1158 | Only Inkling measured |
| Design Arena: 3D | Not measured | 1157 | Only Inkling measured |
| Design Arena: all code categories | 1295 | 1205 | GPT-6.1 Terra |
| Design Arena: SVG | Not measured | 1105 | Only Inkling measured |
| Design Arena: ASCII art | Not measured | 1086 | Only Inkling measured |
| LiveBench design | 82.3% | 58.3% | GPT-6.1 Terra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6.1 Terra | Inkling | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 29.0% | GPT-6.1 Terra |
| LiveBench data analysis | 82.3% | 72.8% | GPT-6.1 Terra |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| Long context reasoning (AA-LCR) | 82.7% | 77.3% | GPT-6.1 Terra |
| DTBench | Not measured | 87.5% | Only Inkling measured |
| LMCA | Not measured | 37.6% | Only Inkling measured |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text | Not measured | 1443 | Only Inkling measured |
| LMArena Text: instruction following | Not measured | 1426 | Only Inkling measured |
| LMArena Text: creative writing | Not measured | 1392 | Only Inkling measured |
| LMArena Text: English | Not measured | 1442 | Only Inkling measured |
| LMArena Text: non-English | Not measured | 1435 | Only Inkling measured |
| LMArena Text: Chinese | Not measured | 1493 | Only Inkling measured |
| LMArena Text: German | Not measured | 1441 | Only Inkling measured |
| LMArena Text: Japanese | Not measured | 1431 | Only Inkling measured |
| LMArena Text: Korean | Not measured | 1408 | Only Inkling measured |
| LMArena Text: French | Not measured | 1461 | Only Inkling measured |
| LMArena Text: Spanish | Not measured | 1450 | Only Inkling measured |
| LMArena Text: Russian | Not measured | 1434 | Only Inkling measured |
| LMArena Text: Polish | Not measured | 1452 | Only Inkling measured |
| LMArena Text: multi-turn | Not measured | 1439 | Only Inkling measured |
| LMArena Text: longer queries | Not measured | 1436 | Only Inkling measured |
| LMArena Text: writing and language | Not measured | 1407 | Only Inkling measured |
| LMArena Text: entertainment and media | Not measured | 1396 | Only Inkling measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| EQ-Bench 4 | Not measured | 1212 | Only Inkling measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | Inkling | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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-6.1 Terra | Thinking Machines Inkling |
|---|---|---|
| Maker | OpenAI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | October 26, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.00 | $1.00 |
| Output $/Mtok | $5.00 | $4.05 |
| Coding index | 77.4 | 31.6 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Terra better than Inkling for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 31.6 for Inkling, though on 4 benchmarks against 6. Pick Inkling for output tokens 1.2x cheaper ($4.05 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, GPT-6.1 Terra or Inkling?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Inkling costs $1.00 and $4.05. Cost per solved task is known for Inkling only.
Which has the bigger context window, GPT-6.1 Terra or Inkling?
GPT-6.1 Terra, with 1.05M tokens against 524K.
How many benchmarks is the GPT-6.1 Terra vs Inkling comparison based on?
32 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.