model comparison

vs

Inkling 2 Small vs GPT-OSS 120B

Thinking Machines against OpenAI, compared on listed price, real workload cost, context and capabilities.

the short answer

  • Inkling 2 Small lists the lower input price, while GPT-OSS 120B lists the lower output price.
  • Inkling 2 Small offers the larger context window.
  • Inkling 2 Small supports vision; GPT-OSS 120B does not.

side-by-side specs

specInkling 2 SmallGPT-OSS 120B
providerThinking MachinesOpenAI
input price$0.3/M$0.35/M
output price$1/M$0.75/M
cached input$0.03/M—
blended price (3:1)$0.475/M$0.45/M
context window256k tokens128k tokens
inputtext, imagestext
structured outputnoyes
weightsclosedopen (Apache 2.0)
releasedNovember 5, 2026August 5, 2025

same work, both models

workloadInkling 2 SmallGPT-OSS 120B
one chat reply3,000 tokens in, 500 outwithin 5%$0.0014$0.0014
summarise a 100-page report50,000 tokens in, 1,500 out, one requestGPT-OSS 120B costs 1.1× as much as Inkling 2 Small$0.02$0.02
1,000 classification calls500 tokens in, 20 out, per call$0.17$0.19
coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$0.66$0.75

at listed rates. token counts are typical sizes, not measurements.

when to pick which

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.

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

skip it if

  • you need open weights today; the lab has not released them yet
  • you need audio input; Inkling 2 Small takes text and images only

GPT-OSS 120B

GPT-OSS 120B is the larger of OpenAI's two Apache 2.0 open-weight models, with 117B total and 5.1B active parameters. it takes text only and sits above the cheaper GPT-OSS 20B.

pick it if

  • you want Apache 2.0 open weights you could also self-host
  • you need adjustable reasoning effort: low, medium or high
  • you need function calling and structured outputs from an open model

skip it if

  • you need image input; it takes text only
  • you are on the free plan, which includes only the 20B sibling

faq

which is cheaper, Inkling 2 Small or GPT-OSS 120B?

Inkling 2 Small lists the lower input price, while GPT-OSS 120B lists the lower output price. on a coding-agent session (2M tokens in, 60,000 out) Inkling 2 Small costs $0.66 and GPT-OSS 120B $0.75.

which has the larger context window?

Inkling 2 Small offers the larger context window. Inkling 2 Small: 256k tokens; GPT-OSS 120B: 128k tokens.

which one accepts images?

Inkling 2 Small supports vision; GPT-OSS 120B does not.

can i switch between Inkling 2 Small and GPT-OSS 120B mid-task?

yes. in an octomind session, /model octohub:inkling-2-small and /model octohub:gpt-oss-120b switch models without losing the conversation, so you can draft on one and review on the other.

try either model

switch between models inside the same octomind session.

prices from the catalog of 2026-11-09