Thinking Machines Lab, open weights
Inkling-Small
Inkling-Small by Thinking Machines Lab ranks 63rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 46.5. Its strongest category is multimodal, where it ranks 62nd. API pricing starts at $0.45 per million input tokens and $1.20 per million output tokens, with a 524K-token context window.
Last verified
Specifications
- Noometry rank
- #63 of 354
- Index score
- 46.5
- Evidence
- Confirmed 33 results
- Provider
- Thinking Machines Lab
- Released
- July 15, 2026
- Weights
- Open weights
- Reasoning
- Yes
- Context window
- 524K
- Max output
- 1.05M
- Input price
- $0.45 / M
- Output price
- $1.20 / M
- Blended price
- $0.64 / M
- Output speed
- Not measured
- Value
- #81 of 219
- Knowledge cutoff
- Unknown
- Input
- text, image, audio
- Hugging Face
- thinkingmachines/Inkling-Small
Category scores
Each category score combines every public result we have in that category.
- Coding 43.6
- Reasoning 38.6
- Math 45.1
- Knowledge 48.2
- Multimodal 39.1
- Multilingual 51.7
- Instruction Following 73.8
- Long Context 42.7
- Writing & Preference 59.6
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 43.6 | #85 | 3 |
| Reasoning | 38.6 | #63 | 6 |
| Math | 45.1 | #77 | 5 |
| Knowledge | 48.2 | #77 | 3 |
| Multimodal | 39.1 | #62 | 1 |
| Multilingual | 51.7 | #104 | 1 |
| Instruction Following | 73.8 | #114 | 1 |
| Long Context | 42.7 | #118 | 1 |
| Writing & Preference | 59.6 | #107 | 4 |
Strengths and weaknesses
Categories where Inkling-Small places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Multimodal | 39.1 | +0.5 | #62 of 128, top 49% |
| Long Context | 42.7 | +1.8 | #118 of 296, top 40% |
| Instruction Following | 73.8 | +2.6 | #114 of 305, top 38% |
Closest competitors
The models ranked just above and below Inkling-Small. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| GLM-5.1 | #59 | 47.8 | $2.15 | — | Compare |
| Kimi K2.6 | #60 | 47.7 | $1.71 | — | Compare |
| o3 | #61 | 47.5 | $3.50 | 3 | Compare |
| Qwen3.6 Plus | #62 | 47.5 | $1.13 | — | Compare |
| GPT-5 Pro | #64 | 46.4 | $41.25 | 5 | Compare |
| Grok 4.20 Multi-Agent | #65 | 46.2 | $1.56 | — | Compare |
| GLM-5 | #66 | 46.1 | $1.55 | 23 | Compare |
| Qwen3.5 397B-A17B | #67 | 46.0 | $1.35 | 9 | Compare |
Sponsored placements are available on pages like this one. Advertise on Noometry
Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Coding
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena WebDev | 1409 | #68 of 113, top 61% | Inkling Small | LMArena | 2026-10-08 |
| SciCode | 48.7% | #48 of 121, top 40% | Epoch AI | ||
| LMArena Coding | 1451 | #86 of 294, top 30% | Inkling Small | LMArena | 2026-10-08 |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| ARC-AGI-2 | 33.1% | high | Epoch AI | ||
| ARC-AGI-2 | 4.9% | low | Epoch AI | ||
| ARC-AGI-2 | 13.6% | medium | Epoch AI | ||
| ARC-AGI-2 | 4% | minimal | Epoch AI | ||
| ARC-AGI-2 | 0% | none | Epoch AI | ||
| ARC-AGI-2 | 40.1% | #36 of 83, top 44% | xhigh | Epoch AI | |
| ARC-AGI-1 | 78% | high | Epoch AI | ||
| ARC-AGI-1 | 52.5% | low | Epoch AI | ||
| ARC-AGI-1 | 67% | medium | Epoch AI | ||
| ARC-AGI-1 | 48.5% | minimal | Epoch AI | ||
| ARC-AGI-1 | 5.5% | none | Epoch AI | ||
| ARC-AGI-1 | 84% | #37 of 83, top 45% | xhigh | Epoch AI | |
| CritPt | 8.3% | #52 of 134, top 39% | Epoch AI | ||
| Chess Puzzles | 18% | #64 of 129, top 50% | xhigh | Epoch AI | 2026-08-14 |
| LMArena Hard Prompts | 1423 | #100 of 297, top 34% | Inkling Small | LMArena | 2026-10-08 |
| Mystery Game Puzzles | 6% | #70 of 74, top 95% | xhigh | Epoch AI | 2026-08-15 |
| Epoch Capabilities Index | 150.15 | #51 of 213, top 24% | Epoch AI | 2026-07-15 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierMath (Tiers 1-3) | 46.3% | #49 of 81, top 61% | xhigh | Epoch AI | 2026-08-14 |
| FrontierMath Tier 4 | 17.1% | #48 of 63, top 77% | xhigh | Epoch AI | 2026-08-14 |
| OTIS Mock AIME 2024-2025 | 90% | #52 of 173, top 31% | xhigh | Epoch AI | 2026-08-14 |
| ProofBench | 6% | #68 of 77, top 89% | Epoch AI | ||
| LMArena Math | 1459 | #53 of 285, top 19% | Inkling Small | LMArena | 2026-10-08 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 88.5% | #46 of 186, top 25% | xhigh | Epoch AI | 2026-08-14 |
| SimpleQA Verified | 19.1% | #67 of 77, top 88% | xhigh | Epoch AI | 2026-08-27 |
| LMArena Expert | 1442 | #79 of 273, top 29% | Inkling Small | LMArena | 2026-10-08 |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1235 | #65 of 122, top 54% | Inkling Small | LMArena | 2026-10-09 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1402 | #104 of 297, top 36% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Chinese | 1465 | #82 of 285, top 29% | Inkling Small | LMArena | 2026-10-08 |
| LMArena French | 1436 | #85 of 223, top 39% | Inkling Small | LMArena | 2026-10-08 |
| LMArena German | 1405 | #90 of 231, top 39% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Japanese | 1405 | #56 of 211, top 27% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Korean | 1363 | #91 of 213, top 43% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Russian | 1391 | #116 of 283, top 41% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Spanish | 1428 | #85 of 226, top 38% | Inkling Small | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1399 | #107 of 298, top 36% | Inkling Small | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1401 | #116 of 291, top 40% | Inkling Small | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1414 | #106 of 297, top 36% | Inkling Small | LMArena | 2026-10-08 |
| LMArena Creative Writing | 1331 | #146 of 295, top 50% | Inkling Small | LMArena | 2026-10-08 |
| EQ-Bench Creative Writing | 1491 | #57 of 115, top 50% | EQ-Bench | ||
| LMArena Multi-Turn | 1418 | #96 of 295, top 33% | Inkling Small | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| deepinfra | $0.45 | $1.20 | $0.10 | 2026-10-10 |
| openrouter | $0.45 | $1.20 | $0.10 | 2026-10-10 |
Compare Inkling-Small
- Inkling-Small vs Qwen3.6 Plus
- Inkling-Small vs GPT-5 Pro
- Inkling-Small vs o3
- Inkling-Small vs Grok 4.20 Multi-Agent
- Inkling-Small vs Kimi K2.6
- Inkling-Small vs GLM-5
- Inkling-Small vs GPT-6 Astra
- Inkling-Small vs Claude Fable 5.1
- Inkling-Small vs Gemini 3.8 Flash
- Inkling-Small vs Kimi K3
- Inkling-Small vs Grok 4.6
- Inkling-Small vs Qwen3.8 Max
- Inkling-Small vs GLM-5.3
- Inkling-Small vs Muse Spark 1.3
Other Thinking Machines Lab models
- Inkling44.1
Frequently asked questions
How good is Inkling-Small?
Inkling-Small by Thinking Machines Lab ranks 63rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 46.5. Its strongest category is multimodal, where it ranks 62nd. API pricing starts at $0.45 per million input tokens and $1.20 per million output tokens, with a 524K-token context window.
How much does Inkling-Small cost?
Inkling-Small costs $0.45 per million input tokens and $1.20 per million output tokens on deepinfra, with cached input at $0.10.
What is Inkling-Small's context window?
Inkling-Small accepts up to 524K tokens of input and can write up to 1.05M tokens in one response.
Is Inkling-Small open source?
Yes. Inkling-Small's weights are downloadable from Hugging Face (thinkingmachines/Inkling-Small); check the license for commercial terms.
What are Inkling-Small's strengths and weaknesses?
Relative to other ranked models, Inkling-Small places best in reasoning, math, knowledge and lowest in multimodal, long context, instruction following.
What is Inkling-Small best at?
Its best category is multimodal, where it ranks 62nd on Noometry.