Thinking Machines Lab
RankedEnough results for an index.Inkling-Small
Inkling-Small is a reasoning model from Thinking Machines Lab in the Inkling family. 35 benchmarks count toward its index, in 7 categories.
IndexAll categories, out of 100.55.1±3.2Median 51.0
CoverageIndex weight that has results.95%
SpeedOutput tokens per second.80/sMedian 67/s
First tokenSeconds to the first output token.0.7 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.45Median $0.60
Output / 1MUS dollars per 1M output tokens.$1.20Median $2.55
ContextMaximum tokens in one request.524KMedian 262K
EloLMArena rating and rank.1414±5 #137Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
thinkingmachines/inkling-small- Max outputMaximum output tokens per request.
- 262K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- No
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.10
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Where to run
APIs that serve this model.ProviderTypeMaker, cloud, host or router.InputOutputContext
US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).
Run locally
265.96B parameters- 16-bit
- 559.5 GB
- 8-bit
- 297.7 GB
- 4-bit
- 170.3 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
35 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Agent Arena command recoveryAgentic5.417 / 50
Agent Arena task outcomeAgentic−27.653 / 54
Agent Arena steerabilityAgentic−27.754 / 54
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseEpoch AICC BYVals AINo licence statedARC Prize FoundationTerms restrict reuseLMArenaCC BY 4.0models.devMITHistory
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Inkling-Small cost?
- $0.45 per 1M input tokens, $1.20 per 1M output tokens.
- How good is Inkling-Small?
- Its index is 55.1 out of 100. That is place 102 of 283 ranked models.
- What is Inkling-Small best at?
- Reasoning: 55.7 out of 100, place 81 of 227.
- How fast is Inkling-Small?
- 80 output tokens per second, 0.7 s to the first token.
- What is the context window of Inkling-Small?
- 524K tokens.
- Is Inkling-Small open source?
- Yes. Its weights are published.
- When was Inkling-Small released?
- July 2026.
Badge
- HTML
<a href="https://inference360.ai/models/inkling-small"><img src="https://inference360.ai/badges/inkling-small.svg" alt="Inkling-Small on Inference360: place 102 of 283, index 55.1" height="20"></a>- Markdown
[](https://inference360.ai/models/inkling-small)