Inkling Small
thinkingmachinesapache-2.0textvisionaudio

Inkling Small

Updated Aug 10, 2026
Parameters
156B
Context
8,192
License
apache-2.0
Updated
Aug 10, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

41.2

AA Index

Agentic

31.9

AA Index

Intelligence Index - Inkling Small vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Opus 5 (max)
63.1
closed
Claude Fable 5 (with fallback)
62.1
closed
GPT-5.6 Sol (max)
60.9
closed
Kimi K3
59.7
open
Qwen3.8 Max
58.1
closed
Muse Spark 1.2 (xhigh)
56.8
closed
GLM-5.2
52.6
open
Inkling Small
41.2
open

Agentic Index comparison

Claude Opus 5 (max)
59.2
closed
Qwen3.8 Max
58.4
closed
GPT-5.6 Sol (max)
57.8
closed
Claude Fable 5 (with fallback)
56.6
closed
Kimi K3
54.3
open
GPT-5.6 Terra (max)
50.2
closed
DeepSeek V4 Flash 0731
48.4
open
Inkling Small
31.9
open

Benchmark data from Artificial Analysis · updated 2026-08-10.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA89.5

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit Inkling Small with real runtime overhead.
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve thinkingmachines/Inkling-Small-NVFP4

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Inkling Small is a 156B-parameter apache-2.0 model from Thinking Machines. It scores 40.2 on the Artificial Analysis Intelligence Index (coding 52.9). At Q4_K_M it needs roughly 90 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.

Benchmarks

Artificial Analysis Intelligence Index - Inkling Small vs. leading closed models:

ModelIntelligenceCodingGPQA
Inkling Small40.252.989.5
Claude Opus 5 (max)60.77893.2
Claude Fable 5 (with fallback)59.976.592.6
GPT-5.6 Sol (max)58.977.494.1
GPT-5.6 Terra (max)5576.792.5
Grok 4.5 (high)53.872.493.1

Source: Artificial Analysis (2026-08-03).

Popularity

Inkling Small has 55,175 downloads in the last month on HuggingFace and 60 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Inkling Small need?

Inkling Small with 156B parameters needs approximately 90 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Inkling Small better than other thinkingmachines models?

Inkling Small has 156B parameters with 8,192 context - a strong choice for general use.

What license is Inkling Small under?

Inkling Small is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs Inkling Small well?

With 156B parameters, Inkling Small requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Inkling Small?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~111 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Inkling Small?

Inkling Small competes with other 78B–234B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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