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TInkling SmallOPEN

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total.

524KContext window · tokens
$0.45Input price · per M tokens
$1.2Output price · per M tokens
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Benchmarks & performance

Independent benchmark scores for Inkling Small, measured by Artificial Analysis. Higher is better.

6.8×
More intelligence per dollar than Claude Opus 5.5.
For the same budget, Inkling Small delivers 6.8 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index25.7
Coding index52.9
GPQA89.5%
Humanity's Last Exam33.3%
Long Context Reasoning75.7%
SciCode49.7%
τ-Bench Banking18.8%
Terminal-Bench55.1%
⚡ Speed157 tokens/sec
⏱ Latency2.51s to first token
💰 Blended price$0.525 / 1M tokens
📈 Value49 intelligence points per $
vs. models measured heretop 33%
Scores higher than 67% of the 284 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.56 per 1M tokens (median of 28) — this one costs $0.64.
Cheaper and better on this index: MiMo-V2.6-Pro · Claude Haiku 5.5 · Claude Haiku 5.5 (batch) and 16 more
Benchmark data by Artificial Analysis

About this model

Inkling Small is an open-weight AI model by Thinkingmachines. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Inkling Small?

Inkling Small is an AI language model from Thinkingmachines. It is open-weight: you can download it and run it on your own hardware, for free. It scores 25.7 on the Artificial Analysis intelligence index.

Is Inkling Small free?

The weights are free and open — you can self-host Inkling Small and pay nothing per token. If you prefer a hosted API, list prices are $0.45 per million input tokens and $1.2 per million output tokens.

What is Inkling Small good at?

Independent benchmarks from Artificial Analysis give it GPQA 89.5%, Humanity's Last Exam 33.3%, Long Context Reasoning 75.7%, SciCode 49.7%, τ-Bench Banking 18.8%, Terminal-Bench 55.1%. It is particularly used for code generation.

How fast is Inkling Small?

It generates about 157 tokens per second, with a median 2.51s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Inkling Small?

Yes. Inkling Small has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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