model comparison

vs

Inkling 2 Small vs DeepSeek V4.1 Flash

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

the short answer

  • on DeepSWE v1.1, as each maker reports it, Inkling 2 Small scores 72.1% and DeepSeek V4.1 Flash 74.2.
  • Inkling 2 Small lists the lower output price; input prices match.
  • DeepSeek V4.1 Flash offers the larger context window.

side-by-side specs

specInkling 2 SmallDeepSeek V4.1 Flash
providerThinking MachinesDeepSeek
input price$0.3/M$0.3/M
output price$1/M$1.2/M
cached input$0.03/M—
blended price (3:1)$0.475/M$0.525/M
context window256k tokens1M tokens
max output—384k tokens
inputtext, imagestext, images
structured outputnoyes
weightsclosedopen (MIT)
releasedNovember 5, 2026September 2026
DeepSWE v1.1 (maker-reported)72.1%74.2

same work, both models

workloadInkling 2 SmallDeepSeek V4.1 Flash
one chat reply3,000 tokens in, 500 outDeepSeek V4.1 Flash costs 1.1× as much as Inkling 2 Small$0.0014$0.0015
summarise a 100-page report50,000 tokens in, 1,500 out, one requestwithin 5%$0.02$0.02
1,000 classification calls500 tokens in, 20 out, per call$0.17$0.17
coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$0.66$0.67

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

DeepSeek V4.1 Flash pricing notes

  • the listed price is DeepSeek's peak rate. DeepSeek's own api charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays; other serving providers bill the peak rate.
  • cache hits bill $0.006 per 1M on some serving providers and $0.03 per 1M on others.

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

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is DeepSeek's open-weight mixture-of-experts model that reads text and images with a 1M-token context. it replaced V4 Flash behind DeepSeek's own deepseek-flash route and costs less than V4 Flash here.

pick it if

  • you want the cheapest DeepSeek model here, and the only one with image input
  • you need long replies: DeepSeek's api allows up to 384K output tokens
  • you want MIT-licensed weights you can self-host

skip it if

  • you need video or audio input; it takes text and images only

faq

which is better, Inkling 2 Small or DeepSeek V4.1 Flash?

on DeepSWE v1.1, as each maker reports it, Inkling 2 Small scores 72.1% and DeepSeek V4.1 Flash 74.2. these are each maker's own numbers, not a controlled head-to-head; the spec table lists every benchmark both publish.

which is cheaper, Inkling 2 Small or DeepSeek V4.1 Flash?

Inkling 2 Small lists the lower output price; input prices match. on a coding-agent session (2M tokens in, 60,000 out) Inkling 2 Small costs $0.66 and DeepSeek V4.1 Flash $0.67.

which has the larger context window?

DeepSeek V4.1 Flash offers the larger context window. Inkling 2 Small: 256k tokens; DeepSeek V4.1 Flash: 1M tokens.

can i switch between Inkling 2 Small and DeepSeek V4.1 Flash mid-task?

yes. in an octomind session, /model octohub:inkling-2-small and /model octohub:deepseek-v4.1-flash 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