Inkling vs Pareto 26.10 Preview
Pareto 26.10 Preview costs 1.3x less per output token than Inkling ($3.20 vs $4.05 per million). Updated November 14, 2026; 1 benchmarks have a result for both.
Inkling or Pareto 26.10 Preview: which to pick
Only Inkling has a coding score, 29.2 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding.
Pick Pareto 26.10 Preview for output tokens 1.3x cheaper ($3.20 vs $4.05 per million) and a larger context window (1.05M against 524K tokens).
- Shared results
- 1
- Inkling only
- 114
- Pareto 26.10 Preview only
- 0
- Like-for-like categories
- 1 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
No call
Only Inkling has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Inkling has a AA Intelligence Index result, 12.5.
Directional only
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
No call
Only Inkling has a Design Arena: websites result, 1215.
Directional only
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Pareto 26.10 Preview
Pareto 26.10 Preview takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Pareto 26.10 Preview
Inkling $0.0030, Pareto 26.10 Preview $0.0024 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
- Inkling 29.2 from 6 benchmarks, Pareto 26.10 Preview not benchmarked.
- Widest category
- Coding, 56.9 points apart on average over 1 shared benchmark.
- Widest single gap
- GameBench 2: Inkling 31.3 against Pareto 26.10 Preview 88.3, 56.9 points apart on a 0 to 100 scale.
- Output price
- Inkling $4.05 against Pareto 26.10 Preview $3.20 per million output tokens, 1.3x apart.
- Context window
- Inkling takes 524K tokens, Pareto 26.10 Preview 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 | Inkling | Bars | Pareto 26.10 Preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| LiveBench coding | 48.7% | Not measured | Only Inkling measured |
| LMArena WebDev | 1414 | Not measured | Only Inkling measured |
| AA Coding Index | 52.1 | Not measured | Only Inkling measured |
| LiveCodeBench (Vals AI) | 85.5% | Not measured | Only Inkling measured |
| SWE-bench Verified (Vals AI) | 77.6% | Not measured | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | 0.5% | Not measured | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 19.2% | Not measured | Only Inkling measured |
| Code migration (Vals AI) | 11.8% | Not measured | Only Inkling measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Inkling measured |
| IOI (Vals AI) | 14.9% | Not measured | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 47.6% | Not measured | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | 7.3% | Not measured | Only Inkling measured |
| SkillsBench (Vals AI) | 26.1% | Not measured | Only Inkling measured |
| CyberBench (Vals AI) | 66.8% | Not measured | Only Inkling measured |
| SciCode | 47.0% | Not measured | Only Inkling measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 1.0% | Not measured | Only Inkling measured |
| FrontierCode 2.0 | 3.9% | Not measured | Only Inkling measured |
| FrontierCode | 14.0% | Not measured | Only Inkling measured |
| FrontierSWE | 4.1% | Not measured | Only Inkling measured |
| WeirdML | 32.3% | Not measured | Only Inkling measured |
| ALE-Bench | 946.0 | Not measured | Only Inkling measured |
| LMArena Text: coding | 1467 | Not measured | Only Inkling measured |
| LMArena Text: software and IT | 1467 | Not measured | Only Inkling measured |
| LMArena WebDev: React | 1404 | Not measured | Only Inkling measured |
| LMArena WebDev: HTML | 1404 | Not measured | Only Inkling measured |
| SWE-Bench Pro V2 | 89.9% | Not measured | Only Inkling measured |
| GameBench 2 | 31.3 | 88.3 | Pareto 26.10 Preview |
| Terminal-Bench 4.0 | 0.0% | Not measured | Only Inkling measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.5 | Not measured | Only Inkling measured |
| Epoch Capabilities Index | 148.4 | Not measured | Only Inkling measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | Not measured | Only Inkling measured |
| Design Arena: agents building web apps | 1172 | Not measured | Only Inkling measured |
| LiveBench research | 60.3% | Not measured | Only Inkling measured |
| LiveBench browser | 12.0% | Not measured | Only Inkling measured |
| LiveBench long agentic | 9.8% | Not measured | Only Inkling measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Inkling measured |
| Finance Agent (Vals AI) | 46.6% | Not measured | Only Inkling measured |
| Tax Agent Bench (Vals AI) | 15.3% | Not measured | Only Inkling measured |
| Legal Research Bench (Vals AI) | 28.4% | Not measured | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 3.8% | Not measured | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 38.4% | Not measured | Only Inkling measured |
| APEX-Agents | 33.8% | Not measured | Only Inkling measured |
| MCP Atlas | 76.0% | Not measured | Only Inkling measured |
| Toolathlon-Verified | 45.5% | Not measured | Only Inkling measured |
| τ³-Banking | 25.0% | Not measured | Only Inkling measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| GPQA Diamond | 87.1% | Not measured | Only Inkling measured |
| LiveBench reasoning | 78.3% | Not measured | Only Inkling measured |
| MMMU Pro (Vals AI) | 78.5% | Not measured | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 87.2% | Not measured | Only Inkling measured |
| Humanity's Last Exam (Artificial Analysis run) | 31.9% | Not measured | Only Inkling measured |
| HLE-Diamond (Artificial Analysis run) | 10.6% | Not measured | Only Inkling measured |
| CritPt v2, hard subset (Artificial Analysis run) | 18.0% | Not measured | Only Inkling measured |
| GPQA Diamond (Epoch AI run) | 88.3% | Not measured | Only Inkling measured |
| ARC-AGI | 79.5% | Not measured | Only Inkling measured |
| ARC-AGI-2 | 36.5% | Not measured | Only Inkling measured |
| SimpleBench | 50.0% | Not measured | Only Inkling measured |
| Chess puzzles | 21.0% | Not measured | Only Inkling measured |
| LMArena Text: hard prompts | 1453 | Not measured | Only Inkling measured |
| LMArena Text: expert | 1469 | Not measured | Only Inkling measured |
| LMArena Text: hard prompts in English | 1449 | Not measured | Only Inkling measured |
| Humanity's Last Exam (Scale run) | 11.2% | Not measured | Only Inkling measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Inkling measured |
| FrontierMath, tiers 1 to 3 | 33.3% | Not measured | Only Inkling measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only Inkling measured |
| ProofBench | 0.0% | Not measured | Only Inkling measured |
| LMArena Text: math | 1481 | Not measured | Only Inkling measured |
| LMArena Text: mathematical work | 1466 | Not measured | Only Inkling measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | Not measured | Only Inkling measured |
| LegalBench (Vals AI) | 83.0% | Not measured | Only Inkling measured |
| CorpFin (Vals AI) | 68.6% | Not measured | Only Inkling measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Inkling measured |
| MortgageTax (Vals AI) | 64.0% | Not measured | Only Inkling measured |
| MedCode (Vals AI) | 41.2% | Not measured | Only Inkling measured |
| AA-Omniscience | -1.5 | Not measured | Only Inkling measured |
| SimpleQA Verified | 40.3% | Not measured | Only Inkling measured |
| LMArena Text: science | 1459 | Not measured | Only Inkling measured |
| LMArena Text: medicine and healthcare | 1450 | Not measured | Only Inkling measured |
| LMArena Text: legal and government | 1448 | Not measured | Only Inkling measured |
| LMArena Text: business and finance | 1439 | Not measured | Only Inkling measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1215 | Not measured | Only Inkling measured |
| Design Arena: UI components | 1189 | Not measured | Only Inkling measured |
| Design Arena: game dev | 1152 | Not measured | Only Inkling measured |
| Design Arena: data viz | 1158 | Not measured | Only Inkling measured |
| Design Arena: 3D | 1141 | Not measured | Only Inkling measured |
| Design Arena: all code categories | 1194 | Not measured | Only Inkling measured |
| Design Arena: SVG | 1101 | Not measured | Only Inkling measured |
| Design Arena: ASCII art | 1088 | Not measured | Only Inkling measured |
| LiveBench design | 55.2% | Not measured | Only Inkling measured |
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Vals Index | 29.0% | Not measured | Only Inkling measured |
| LiveBench data analysis | 72.8% | Not measured | Only Inkling measured |
| Public Benefits Bench (Vals AI) | 58.5% | Not measured | Only Inkling measured |
| MedScribe (Vals AI) | 85.4% | Not measured | Only Inkling measured |
| Vals Multimodal Index | 49.4% | Not measured | Only Inkling measured |
| Long context reasoning (AA-LCR) | 77.3% | Not measured | Only Inkling measured |
| GDPval-AA | 1080 | Not measured | Only Inkling measured |
| DTBench | 87.5% | Not measured | Only Inkling measured |
| LMCA | 37.6% | Not measured | Only Inkling measured |
| LMArena Text | 1443 | Not measured | Only Inkling measured |
| LMArena Text: instruction following | 1427 | Not measured | Only Inkling measured |
| LMArena Text: creative writing | 1395 | Not measured | Only Inkling measured |
| LMArena Text: English | 1443 | Not measured | Only Inkling measured |
| LMArena Text: non-English | 1436 | Not measured | Only Inkling measured |
| LMArena Text: Chinese | 1494 | Not measured | Only Inkling measured |
| LMArena Text: German | 1440 | Not measured | Only Inkling measured |
| LMArena Text: Japanese | 1438 | Not measured | Only Inkling measured |
| LMArena Text: Korean | 1413 | Not measured | Only Inkling measured |
| LMArena Text: French | 1463 | Not measured | Only Inkling measured |
| LMArena Text: Spanish | 1451 | Not measured | Only Inkling measured |
| LMArena Text: Russian | 1435 | Not measured | Only Inkling measured |
| LMArena Text: Polish | 1451 | Not measured | Only Inkling measured |
| LMArena Text: multi-turn | 1442 | Not measured | Only Inkling measured |
| LMArena Text: longer queries | 1437 | Not measured | Only Inkling measured |
| LMArena Text: writing and language | 1410 | Not measured | Only Inkling measured |
| LMArena Text: entertainment and media | 1398 | Not measured | Only Inkling measured |
| EQ-Bench 4 | 1212 | Not measured | Only Inkling measured |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Inkling | Pareto 26.10 Preview | 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
Pareto 26.10 Preview costs less
Repository review
50K input + 3K output tokens
Pareto 26.10 Preview costs less
Agent loop
200K input + 10K output tokens
Pareto 26.10 Preview 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 | Thinking Machines Inkling | Pareto 26.10 Preview |
|---|---|---|
| Maker | Thinking Machines | Unbiased |
| Weights | Open weights | No public weights listed |
| Released | July 17, 2026 | October 1, 2026 |
| Context window | 524K | 1.05M |
| Input $/Mtok | $1.00 | $0.80 |
| Output $/Mtok | $4.05 | $3.20 |
| Coding index | 29.2 | Not benchmarked |
| Independent measurements behind it | 6 | 0 |
| Cost per solved task | $0.76 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Inkling better than Pareto 26.10 Preview for coding?
Only Inkling has a coding score, 29.2 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding. Pick Pareto 26.10 Preview for output tokens 1.3x cheaper ($3.20 vs $4.05 per million) and a larger context window (1.05M against 524K tokens).
Which is cheaper, Inkling or Pareto 26.10 Preview?
Inkling costs $1.00 per million input tokens and $4.05 per million output tokens; Pareto 26.10 Preview costs $0.80 and $3.20. Cost per solved task is known for Inkling only.
Which has the bigger context window, Inkling or Pareto 26.10 Preview?
Pareto 26.10 Preview, with 1.05M tokens against 524K.
How many benchmarks is the Inkling vs Pareto 26.10 Preview comparison based on?
1 benchmarks have a result for both models as of November 14, 2026. Inkling's coding index rests on 6 independent benchmarks and Pareto 26.10 Preview's on 0. Where only one model has a result, the page says so instead of naming a winner.