Thinking Machines language model

Inkling 2 Small

Inkling 2 Small is Thinking Machines' second-generation 594B-total, 17B-active mixture-of-experts model with image input. its weights are closed for now; the lab plans an Apache 2.0 release. on octomind it is served only through Tinker.

01

price

$0.3/M

input tokens

$1/M

output tokens

$0.03/M

cached input

per 1M tokens. octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).

02

what real work costs

workloadcost
one chat reply 3,000 tokens in, 500 out $0.0014
summarise a 100-page report 50,000 tokens in, 1,500 out, one request $0.02
1,000 classification calls 500 tokens in, 20 out, per call $0.17
coding-agent session 2M tokens in across ~60 turns, 60,000 out, no cache $0.66
same session, cached 85% of input read from the prompt cache, the rest written to it $0.20

at the listed rate. token counts are typical sizes, not measurements.

03

specs

provider
Thinking Machines
context window
256k tokens — ≈ 380 pages of prose or 26,000 lines of code
input
text, images
output
text
structured output
no
reasoning mode
yes
prompt caching
yes — cache hits at $0.03/M
weights
closed
released
November 5, 2026
status
live
model id
inkling-2-small

integration notes

  • it reasons by default; chain-of-thought can be disabled through a renderer or argument.
  • the lab ran its published evaluations at effort 0.99 (xhigh) and temperature 1.0.

04

benchmarks

as published by the maker; not measured by octomind.

benchmarkscore
SWEBench Pro v2 (Hard)source86.3%
DeepSWE v1.1source72.1%
Vibe Code Bench v1.1source81.6%
MMMU Pro (Standard 10)source81.6%

05

when to pick it

pick it if

  • want the lowest-priced Inkling on octomind, below Inkling Small on both input and output
  • need adjustable reasoning effort, with chain-of-thought you can switch off
  • work on long agent runs: the lab trained it with a 256K window plus compaction

06

where it sits on price

blended price $0.475/M at 3 input tokens per output token: 12 live language models cost less, 31 cost more.

  1. MiniMax M3.1 Flash $0.262/M
  2. GPT-OSS 120B $0.45/M
  3. Inkling 2 Small $0.475/M
  4. DeepSeek V4.1 Flash $0.525/M
  5. MiniMax M3 $0.525/M

07

use Inkling 2 Small in octomind

one octohub login reaches every model in the catalog. pick this one per run, per session, or as your default.

run it
octomind login
octomind run -m octohub:inkling-2-small
switch mid-session
/model octohub:inkling-2-small
make it the default — config.toml
[model]
name = "octohub:inkling-2-small"

08

compare Inkling 2 Small

all model comparisons →

09

similar models

nearest live models by listed input price.

view all models →

10

Inkling 2 Small faq

how much does Inkling 2 Small cost?

Inkling 2 Small lists at $0.3/M input, $1/M output, $0.03/M cached input per 1M tokens. a typical coding-agent session (2M tokens in, 60,000 out) comes to $0.66, or $0.20 when 85% of the input is read from the prompt cache. octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).

what is the context window of Inkling 2 Small?

256k tokens, ≈ 380 pages of prose or 26,000 lines of code.

does Inkling 2 Small accept images?

yes. it takes text and images as input and returns text.

is Inkling 2 Small open source?

no. Inkling 2 Small is a closed-weights model, available only through Thinking Machines's api and hosted gateways such as octohub.

when was Inkling 2 Small released?

November 5, 2026, by Thinking Machines.

is Inkling 2 Small free?

no. Inkling 2 Small bills per token at $0.3/M input, $1/M output, $0.03/M cached input per 1M. octomind's free plan reaches it pay as you go from credits, so you pay only for the tokens you use, at the provider price. credits carry a 3% top-up fee.

how do i use Inkling 2 Small in octomind?

run octomind login once, then octomind run -m octohub:inkling-2-small. inside a running session, /model octohub:inkling-2-small switches to it without losing context.

use Inkling 2 Small in octomind

choose a model when you start, then switch mid-session when the work changes.