o1 vs Inkling
Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 49.7 for Inkling, though on 1 benchmark against 2.
Pick Inkling when output tokens cost 14.8x less, or when the context window is larger, 524K against 200K tokens.
- Shared results
- 49
- o1 only
- 19
- Inkling only
- 53
- Like-for-like categories
- 6 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
o1
o1 scores 61.7 against 49.7.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 15.2.
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
Inkling
Inkling leads, 87.1% against 73.2%.
Same board, both measured
Math
AIME
No call
Only o1 has a AIME result, 71.5%.
Directional only
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 83.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Inkling has a Design Arena: websites result, 1224.
Directional only
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Inkling
Inkling takes 524K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
o1 $0.045, 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
- o1 61.7 from 1 benchmark, Inkling 49.7 from 2 benchmarks.
- Widest category
- Coding, 18.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- ARC-AGI: o1 30.7% against Inkling 79.5%, 48.8 points apart on a 0 to 100 scale.
- Output price
- o1 $60.00 against Inkling $4.05 per million output tokens, 14.8x apart.
- Context window
- o1 takes 200K 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 | o1 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 1 | 4 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 11 | ||
| Math | 0 | 4 | ||
| Knowledge | 1 | 7 | ||
| General | 0 | 19 | ||
| All shared boards | 2 | 47 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index14
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| Aider polyglot | 61.7% | Not measured | Only o1 measured |
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | Not measured | 1414 | Only Inkling measured |
| AA Coding Index | 39.7 | 52.1 | Inkling |
| LiveCodeBench (Vals AI) | 50.3% | 85.5% | Inkling |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.2% | Only Inkling measured |
| 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 |
| LiveCodeBench (Artificial Analysis run) | 67.9% | Not measured | Only o1 measured |
| SciCode | Not measured | 47.0% | Only Inkling measured |
| Terminal-Bench Hard (Artificial Analysis run) | 12.9% | Not measured | Only o1 measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 46.1% | 32.3% | o1 |
| ALE-Bench | Not measured | 946.0 | Only Inkling measured |
| LMArena Text: coding | 1367 | 1466 | Inkling |
| LMArena Text: software and IT | 1366 | 1465 | Inkling |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | Not measured | 1399 | Only Inkling measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.2 | 25.0 | Inkling |
| Epoch Capabilities Index | 141.7 | 148.4 | Inkling |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Inkling measured |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| 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) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 62.6% | Not measured | Only o1 measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| METR time horizons | 51.1% | Not measured | Only o1 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index011
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 73.2% | 87.1% | Inkling |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | 77.4% | 78.5% | Inkling |
| GPQA Diamond (Artificial Analysis run) | 74.7% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 7.0% | 31.9% | Inkling |
| GPQA Diamond (Epoch AI run) | 76.8% | 88.3% | Inkling |
| ARC-AGI | 30.7% | 79.5% | Inkling |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | 40.1% | 50.0% | Inkling |
| Chess puzzles | 10.0% | 21.0% | Inkling |
| VPCT | 37.0% | Not measured | Only o1 measured |
| LMArena Text: hard prompts | 1371 | 1451 | Inkling |
| LMArena Text: expert | 1361 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1372 | 1448 | Inkling |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| AIME | 71.5% | Not measured | Only o1 measured |
| MATH 500 (Vals AI) | 90.4% | Not measured | Only o1 measured |
| MGSM (Vals AI) | 89.3% | Not measured | Only o1 measured |
| OTIS Mock AIME | 73.3% | 88.9% | Inkling |
| FrontierMath, tiers 1 to 3 | 14.7% | 33.3% | Inkling |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| MATH level 5 | 94.7% | Not measured | Only o1 measured |
| LMArena Text: math | 1388 | 1479 | Inkling |
| LMArena Text: mathematical work | 1390 | 1460 | Inkling |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 83.5% | 86.3% | Inkling |
| LegalBench (Vals AI) | 80.4% | 83.0% | Inkling |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | 74.3% | 75.3% | Inkling |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedQA (Vals AI) | 96.5% | Not measured | Only o1 measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| MMLU Pro (Artificial Analysis run) | 84.1% | Not measured | Only o1 measured |
| SimpleQA Verified | 41.1% | 40.3% | o1 |
| GeoBench | 80.0% | Not measured | Only o1 measured |
| LMArena Text: science | 1369 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1355 | 1447 | Inkling |
| LMArena Text: legal and government | 1368 | 1448 | Inkling |
| LMArena Text: business and finance | 1328 | 1438 | Inkling |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1224 | Only Inkling measured |
| Design Arena: UI components | Not measured | 1200 | Only Inkling measured |
| Design Arena: game dev | Not measured | 1166 | Only Inkling measured |
| Design Arena: data viz | Not measured | 1160 | Only Inkling measured |
| Design Arena: 3D | Not measured | 1161 | Only Inkling measured |
| Design Arena: all code categories | Not measured | 1206 | Only Inkling measured |
| Design Arena: SVG | Not measured | 1109 | Only Inkling measured |
| Design Arena: ASCII art | Not measured | 1089 | Only Inkling measured |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | o1 | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 70.3% | Not measured | Only o1 measured |
| Long context reasoning (AA-LCR) | 65.0% | 77.3% | Inkling |
| DTBench | 74.7% | 87.5% | Inkling |
| LMCA | 22.3% | 37.6% | Inkling |
| Fiction.LiveBench | 83.3% | Not measured | Only o1 measured |
| Creative writing (Lech Mazur) | 70.2% | Not measured | Only o1 measured |
| LMArena Text | 1366 | 1442 | Inkling |
| LMArena Text: instruction following | 1367 | 1425 | Inkling |
| LMArena Text: creative writing | 1347 | 1390 | Inkling |
| LMArena Vision | 1168 | Not measured | Only o1 measured |
| LMArena Text: English | 1372 | 1442 | Inkling |
| LMArena Text: non-English | 1358 | 1434 | Inkling |
| LMArena Text: Chinese | 1394 | 1493 | Inkling |
| LMArena Text: German | 1337 | 1445 | Inkling |
| LMArena Text: Japanese | 1346 | 1429 | Inkling |
| LMArena Text: Korean | 1396 | 1403 | Inkling |
| LMArena Text: French | 1344 | 1455 | Inkling |
| LMArena Text: Spanish | 1345 | 1449 | Inkling |
| LMArena Text: Russian | 1356 | 1430 | Inkling |
| LMArena Text: Polish | Not measured | 1450 | Only Inkling measured |
| LMArena Text: multi-turn | 1355 | 1437 | Inkling |
| LMArena Text: longer queries | 1378 | 1435 | Inkling |
| LMArena Text: writing and language | 1360 | 1404 | Inkling |
| LMArena Text: entertainment and media | 1358 | 1394 | Inkling |
| LMArena Vision: English | 1162 | Not measured | Only o1 measured |
| LMArena Vision: Chinese | 1235 | Not measured | Only o1 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1 | 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 o1 | Thinking Machines Inkling |
|---|---|---|
| Maker | OpenAI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | December 17, 2024 | July 17, 2026 |
| Context window | 200K | 524K |
| Input $/Mtok | $15.00 | $1.00 |
| Output $/Mtok | $60.00 | $4.05 |
| Coding index | 61.7 | 49.7 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is o1 better than Inkling for coding?
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 49.7 for Inkling, though on 1 benchmark against 2. Pick Inkling when output tokens cost 14.8x less, or when the context window is larger, 524K against 200K tokens.
Which is cheaper, o1 or Inkling?
o1 costs $15.00 per million input tokens and $60.00 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, o1 or Inkling?
Inkling, with 524K tokens against 200K.
How many benchmarks is the o1 vs Inkling comparison based on?
49 benchmarks have a result for both models as of October 21, 2026. o1's coding index rests on 1 independent benchmark and Inkling's on 2. Where only one model has a result, the page says so instead of naming a winner.