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inklingThinking Machines

in /1M$1.87input tokens
out /1M$4.68output tokens
context66K33K out
trainingnoon your prompts
api
chat
hosting
US
model lab
Thinking Machines
weights
open
added
July 2026
model id
thinkingmachines/inkling

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

pricing

no markup
input
$1.87
output
$4.68
cache write
-
cache read
$0.37

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.23
1M in + 100K out$2.34
10M in + 1M out$23.38

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Nov 2

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond87.2
SciCode47.0
Humanity's Last Exam31.9
Intelligence Index12.5
4 evalsmean44.6

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-07-15.

policy

data terms
retention
yes
trains on prompts
no
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. Thinking Machines Privacy Notice

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
thinkingmachines/inkling

this id pins the thinking machines deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead

main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="thinkingmachines/inkling",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

Inkling is a large MoE hybrid reasoning model from Thinking Machines with audio and vision input support and a 64K context window.

questions 6

How much does inkling cost?
inkling is priced at $1.87 per million input tokens and $4.68 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of inkling?
inkling has a context window of 66K tokens, with a maximum output of 33K tokens per response. That is roughly 87 words of input you can fit in a single prompt.
How does inkling perform on benchmarks?
inkling scores 87.2% on GPQA Diamond, 47.0% on SciCode, 31.9% on Humanity's Last Exam. The benchmarks pane shows every published result, each normalised to 100.
What can inkling do?
inkling supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use inkling with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "thinkingmachines/inkling". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run inkling through Requesty?
Yes. inkling runs through Requesty's OpenAI-compatible API, served from Thinking Machines. You do not host the model yourself: point base_url at Requesty, set the model to "thinkingmachines/inkling", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

more from thinking machines 1

Other Thinking Machines endpoints
endpointctxin /M
inkling-256k262K$1.87

call inkling through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

inklingthinking machinesin $1.87 /1Mout $4.68 /1Mctx 66Khosted US