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Thinking Machines

Inkling

  • Released
  • Open weights
  • Apache 2.0
Intelligence Index

Extra high setting

25.0#45 of 83measured models
Measured · Artificial Analysis v4.3.2
API price from
$0.95 in / $4.05 out / 1M tokOpenRouter · DeepInfra · FP8
Context window
1M tok

Performance profile

ReasoningRank #30 of 107
87.2%
GPQA Diamond
CodingRank #43 of 94
47.0%
SciCode
Cost efficiencyRank #42 of 67
41.2pts / $
Intelligence ÷ eval cost

Capabilities

Context window

Modalities

Measured setting

Integration

Reasoning trade-offs

Source (opens in a new tab)
Intelligence Index v4.3.2
Inkling
Cost per task (USD) · log scale
InklingX-High
Intelligence Index
25.0
Cost / task
$0.607
Evaluation time
5.2m

Pricing & access

API route
OpenRouter · DeepInfra · FP8API
Tier & contextStandard

USD per 1M tokens

Input
$0.95
Output
$4.05
Cached input
$0.16

Run locally

GGUFQ8_0
Context
Estimated memory

~881.5 GiB

RAM + VRAM

Estimate assumptions

One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.

1024 GiB RAMwithout GPU offload

Memory budgetOne text chat
Weights
797.9 GiB
Context + state
3.8 GiB16-bit cache
App allowance
79.8 GiB
Download
856.8 GB19 files · keep together+0.2 GB for images (opens in a new tab)
Disk space
~948 GBIncludes image file
Get GGUF (opens in a new tab)
Set up in Ollama · Q8_0 · 8K context

Save the following as Modelfile. The context matches the estimate above.

FROM hf.co/unsloth/inkling-GGUF:Q8_0
PARAMETER num_ctx 8192

Then run these commands in your terminal:

ollama create llmcurrent-local -f Modelfile
ollama run llmcurrent-local

Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter unsloth/inkling-GGUF, choose Q8_0, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.

Images need extra memoryvLLM setup (opens in a new tab)

Benchmarks

Full leaderboardSource (opens in a new tab)

Humanity’s Last Exam

Frontier reasoning

Inkling · Extra high#48 of 126

  1. 1Claude Opus 5.5Max61.4%
  2. 2Claude Fable 5.1Max59.1%
  3. 3Gemini 4 ArgonHigh57.1%
  4. 45Hy3Reasoning33.5%
  5. 46Inkling SmallReasoning33.3%
  6. 47K2 Horizon 375B A23BReasoning32.0%
  7. 48InklingExtra high31.9%
  8. 49Nemotron 3.5 Super VLReasoning30.7%
  9. 50A.X-K2Reasoning29.6%
  10. 51Solar Pro 4Reasoning29.2%

Peers use their best measured result on this benchmark.

Alternatives

Each model at its highest-scoring measured setting · Intelligence Index v4.3.2 and its evaluation cost per task.