GPT-6 Luna vs Inkling Small
Updated October 21, 2026. 70 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 Luna for coding: it scores 71.4 on the Vibe Coding Index against 29.9 for Inkling Small.
Pick Inkling Small when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 70
- GPT-6 Luna only
- 32
- Inkling Small only
- 14
- Like-for-like categories
- 7 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 Luna
GPT-6 Luna scores 71.4 against 29.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Luna
GPT-6 Luna leads, 38.1 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling Small has a AA Agentic Index result, 23.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Inkling Small has a GPQA Diamond result, 83.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling Small has a MMLU Pro result, 85.6%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6 Luna has a Design Arena: websites result, 1272.
Directional only
General
Vals Index
GPT-6 Luna
GPT-6 Luna leads, 52.3% against 27.6%.
Same board, both measured
Long documents
Listed context window
GPT-6 Luna
GPT-6 Luna takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna
GPT-6 Luna $0.0003, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling Small has the number, $0.16.
Directional only
At a glance
- Coding index
- GPT-6 Luna 71.4 from 2 benchmarks, Inkling Small 29.9 from 1 benchmark.
- Widest category
- Math, 24.9 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): GPT-6 Luna 81.7% against Inkling Small 19.1%, 62.6 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Luna $0.50 against Inkling Small $1.20 per million output tokens, 2.4x apart.
- Context window
- GPT-6 Luna takes 1.05M tokens, Inkling Small 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 Luna | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 11 | 2 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 7 | 3 | ||
| Math | 4 | 2 | ||
| Knowledge | 2 | 4 | ||
| General | 9 | 18 | ||
| All shared boards | 40 | 29 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index112
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only GPT-6 Luna measured |
| LMArena WebDev | 1578 | 1409 | GPT-6 Luna |
| AA Coding Index | Not measured | 52.9 | Only Inkling Small measured |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Inkling Small measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.2% | Only Inkling Small measured |
| Terminal-Bench 4 (Vals AI) | 13.6% | 0.0% | GPT-6 Luna |
| Vibe Code Bench (Vals AI) | 81.7% | 19.1% | GPT-6 Luna |
| Code migration (Vals AI) | 42.5% | 13.7% | GPT-6 Luna |
| ProgramBench (Vals AI) | 0.5% | 0.5% | Tie |
| IOI (Vals AI) | 55.6% | 9.3% | GPT-6 Luna |
| Terminal-Bench 2.1 (Vals AI) | 73.0% | 55.1% | GPT-6 Luna |
| SWE-bench Multimodal (Vals AI) | 37.5% | Not measured | Only GPT-6 Luna measured |
| SkillsBench (Vals AI) | Not measured | 33.6% | Only Inkling Small measured |
| CyberBench (Vals AI) | 76.3% | 64.1% | GPT-6 Luna |
| SciCode | 54.6% | 49.7% | GPT-6 Luna |
| FrontierCode | 42.4% | Not measured | Only GPT-6 Luna measured |
| ALE-Bench | 1576.9 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: coding | 1437 | 1450 | Inkling Small |
| LMArena Text: software and IT | 1423 | 1447 | Inkling Small |
| LMArena WebDev: React | 1573 | 1399 | GPT-6 Luna |
| LMArena WebDev: HTML | 1595 | 1398 | GPT-6 Luna |
| LMArena WebDev: from an image | 1571 | 1410 | GPT-6 Luna |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.1 | 25.7 | GPT-6 Luna |
| Epoch Capabilities Index | 156.8 | 150.3 | GPT-6 Luna |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 23.5 | Only Inkling Small measured |
| Design Arena: agents building web apps | 1189 | Not measured | Only GPT-6 Luna measured |
| Design Arena: agents building full-stack apps | 1158 | Not measured | Only GPT-6 Luna measured |
| Design Arena: agents building mobile apps | 1133 | Not measured | Only GPT-6 Luna measured |
| LiveBench research | 43.5% | Not measured | Only GPT-6 Luna measured |
| LiveBench browser | 72.0% | Not measured | Only GPT-6 Luna measured |
| LiveBench long agentic | 48.1% | Not measured | Only GPT-6 Luna measured |
| SREBench (Vals AI) | 2.7% | Not measured | Only GPT-6 Luna measured |
| Finance Agent (Vals AI) | 49.9% | 41.3% | GPT-6 Luna |
| Tax Agent Bench (Vals AI) | 19.9% | 15.4% | GPT-6 Luna |
| Legal Research Bench (Vals AI) | 30.3% | 25.5% | GPT-6 Luna |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | 2.9% | GPT-6 Luna |
| Excel Modeling Benchmark (Vals AI) | 68.5% | 31.8% | GPT-6 Luna |
| BioMysteryBench (Vals AI) | 61.5% | Not measured | Only GPT-6 Luna measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only GPT-6 Luna measured |
| Vals Science Index | 28.4% | Not measured | Only GPT-6 Luna measured |
| APEX-Agents | 44.3% | Not measured | Only GPT-6 Luna measured |
| SpireClimb | 0.0% | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.6% | Only Inkling Small measured |
| LiveBench reasoning | 81.8% | Not measured | Only GPT-6 Luna measured |
| MysteryMechanism (Vals AI) | 19.4% | Not measured | Only GPT-6 Luna measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.5% | Only Inkling Small measured |
| Humanity's Last Exam (Artificial Analysis run) | 38.5% | 33.3% | GPT-6 Luna |
| GPQA Diamond (Epoch AI run) | 90.5% | 88.5% | GPT-6 Luna |
| ARC-AGI | 86.7% | 84.0% | GPT-6 Luna |
| ARC-AGI-2 | 59.3% | 40.1% | GPT-6 Luna |
| Chess puzzles | 36.0% | Not measured | Only GPT-6 Luna measured |
| Mystery game puzzles | 7.0% | 6.0% | GPT-6 Luna |
| LMArena Text: hard prompts | 1410 | 1423 | Inkling Small |
| LMArena Text: expert | 1442 | 1441 | GPT-6 Luna |
| LMArena Text: hard prompts in English | 1410 | 1429 | Inkling Small |
| LMArena Vision: diagrams | 1245 | 1251 | Inkling Small |
| LMArena Vision: homework | 1261 | 1257 | GPT-6 Luna |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 90.0% | GPT-6 Luna |
| FrontierMath, tiers 1 to 3 | 78.9% | 46.3% | GPT-6 Luna |
| FrontierMath, tier 4 | 56.1% | 17.1% | GPT-6 Luna |
| ProofBench | 64.0% | 6.0% | GPT-6 Luna |
| LMArena Text: math | 1409 | 1459 | Inkling Small |
| LMArena Text: mathematical work | 1427 | 1441 | Inkling Small |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only Inkling Small measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling Small measured |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Inkling Small measured |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | 44.7% | 37.9% | GPT-6 Luna |
| SimpleQA Verified | 41.4% | 19.1% | GPT-6 Luna |
| LMArena Text: science | 1386 | 1428 | Inkling Small |
| LMArena Text: medicine and healthcare | 1352 | 1413 | Inkling Small |
| LMArena Text: legal and government | 1400 | 1415 | Inkling Small |
| LMArena Text: business and finance | 1388 | 1413 | Inkling Small |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1272 | Not measured | Only GPT-6 Luna measured |
| Design Arena: UI components | 1297 | Not measured | Only GPT-6 Luna measured |
| Design Arena: game dev | 1259 | Not measured | Only GPT-6 Luna measured |
| Design Arena: data viz | 1215 | Not measured | Only GPT-6 Luna measured |
| Design Arena: 3D | 1217 | Not measured | Only GPT-6 Luna measured |
| Design Arena: all code categories | 1271 | Not measured | Only GPT-6 Luna measured |
| Design Arena: SVG | 1253 | Not measured | Only GPT-6 Luna measured |
| Design Arena: ASCII art | 1156 | Not measured | Only GPT-6 Luna measured |
| LiveBench design | 82.5% | Not measured | Only GPT-6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index918
| Benchmark | GPT-6 Luna | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | 52.3% | 27.6% | GPT-6 Luna |
| LiveBench data analysis | 73.4% | Not measured | Only GPT-6 Luna measured |
| Public Benefits Bench (Vals AI) | 57.6% | 59.4% | Inkling Small |
| SAGE (Vals AI) | 48.1% | 32.7% | GPT-6 Luna |
| MedScribe (Vals AI) | 83.7% | 84.1% | Inkling Small |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| Long context reasoning (AA-LCR) | 83.3% | 75.7% | GPT-6 Luna |
| DTBench | 90.1% | Not measured | Only GPT-6 Luna measured |
| LMCA | 44.5% | Not measured | Only GPT-6 Luna measured |
| Furniture assembly | 44.2% | Not measured | Only GPT-6 Luna measured |
| LMArena Text | 1389 | 1413 | Inkling Small |
| LMArena Text: instruction following | 1408 | 1399 | GPT-6 Luna |
| LMArena Text: creative writing | 1363 | 1334 | GPT-6 Luna |
| LMArena Vision | 1216 | 1237 | Inkling Small |
| LMArena Text: English | 1393 | 1421 | Inkling Small |
| LMArena Text: non-English | 1381 | 1401 | Inkling Small |
| LMArena Text: Chinese | 1427 | 1464 | Inkling Small |
| LMArena Text: German | 1376 | 1408 | Inkling Small |
| LMArena Text: Japanese | 1369 | 1401 | Inkling Small |
| LMArena Text: Korean | 1359 | 1367 | Inkling Small |
| LMArena Text: French | 1408 | 1435 | Inkling Small |
| LMArena Text: Spanish | 1391 | 1422 | Inkling Small |
| LMArena Text: Russian | 1392 | 1394 | Inkling Small |
| LMArena Text: Polish | 1383 | 1428 | Inkling Small |
| LMArena Text: multi-turn | 1392 | 1416 | Inkling Small |
| LMArena Text: longer queries | 1408 | 1402 | GPT-6 Luna |
| LMArena Text: writing and language | 1384 | 1357 | GPT-6 Luna |
| LMArena Text: entertainment and media | 1364 | 1352 | GPT-6 Luna |
| LMArena Vision: English | 1204 | 1243 | Inkling Small |
| LMArena Vision: Chinese | 1266 | 1292 | Inkling Small |
| LMArena Vision: reading text | 1225 | 1243 | Inkling Small |
| LMArena Vision: humor | Not measured | 1207 | Only Inkling Small measured |
| LMArena Vision: creative writing | 1205 | 1205 | GPT-6 Luna |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna | Inkling Small | 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
GPT-6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-6 Luna 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 Luna | Thinking Machines Inkling Small |
|---|---|---|
| Maker | OpenAI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | September 22, 2026 | July 30, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.10 | $0.45 |
| Output $/Mtok | $0.50 | $1.20 |
| Coding index | 71.4 | 29.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Luna better than Inkling Small for coding?
Pick GPT-6 Luna for coding: it scores 71.4 on the Vibe Coding Index against 29.9 for Inkling Small. Pick Inkling Small when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-6 Luna or Inkling Small?
GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.
Which has the bigger context window, GPT-6 Luna or Inkling Small?
GPT-6 Luna, with 1.05M tokens against 524K.
How many benchmarks is the GPT-6 Luna vs Inkling Small comparison based on?
70 benchmarks have a result for both models as of October 21, 2026. GPT-6 Luna's coding index rests on 2 independent benchmarks and Inkling Small's on 1. Where only one model has a result, the page says so instead of naming a winner.