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Thinking Machines LabInkling Small

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Inkling-Small is Thinking Machines Lab's open-weight multimodal mixture-of-experts model with 276B total parameters, 12B active parameters, text, image, and audio input, and a 1M-token context window.

Token context
1,049K tokens
Inputs
Text, Image, Audio
Outputs
Text
Released
Jul 30, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #31 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
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Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Inkling Small. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.45$1.20$0.10—Oct 19, 2026Provider-reported
$0.45$1.20$0.10—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
ARC-AGI-1verified-v1-613c385b0c9384.00percent——Inkling Small (XHigh)unknownOriginal sourcewinner eligibleThird-party benchmark
ARC-AGI-2verified-v2-be40992860f940.14percent——Inkling Small (XHigh)unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,412.62rating—32,304Inkling Small; 95% CI [1407.97725962, 1417.26957820]; votes 32304; rank 135unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e1,235.32rating—7,472Inkling Small; 95% CI [1226.97211879, 1243.66134454]; votes 7472; rank 75unknownOriginal sourcewinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
thinkingmachines/Inkling-Small
Released
Jul 30, 2026
Version
Inkling-Small
License
apache-2.0

Capacity

Token context
1,049K tokens
Maximum output
Unknown
Total parameters
276B
Active parameters
12B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image, Audio
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
agents, chat, coding, generation, reasoning, tools, vision

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
AliasesInkling Small, thinkingmachines/Inkling-Small

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

thinkingmachines/Inkling-Small developer model repositoryThinking Machines Lab · observed Sep 25, 2026Inkling-Small README at 8cc5877b44d3Thinking Machines Lab · observed Sep 25, 2026OpenRouter thinkingmachines/inkling-small model APIOpenRouter · observed Sep 25, 2026Introducing Inkling-SmallThinking Machines Lab · observed Sep 21, 2026thinkingmachines/Inkling-Small config.json at 8cc5877b44d3Thinking Machines Lab · observed Sep 25, 2026thinkingmachines/Inkling-Small immutable Hub API metadataThinking Machines Lab · observed Sep 25, 2026Inkling-Small Model CardThinking Machines Lab · observed Sep 21, 2026thinkingmachines/Inkling-Small tokenizer_config.json at 8cc5877b44d3Thinking Machines Lab · observed Sep 25, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026

Comparable Peers

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vsfamily variantsaudio, image, text

Questions

Inkling Small FAQs

What is Inkling Small?+

Inkling-Small is Thinking Machines Lab's open-weight multimodal mixture-of-experts model with 276B total parameters, 12B active parameters, text, image, and audio input, and a 1M-token context window. It is developed by Thinking Machines Lab and its current sourced lifecycle status is active.

What inputs and outputs does Inkling Small support?+

Inkling Small's current record lists Text, Image, and Audio as input and Text as output.

How much context does Inkling Small support?+

The current record lists a 1,049K-token context window and does not report a maximum output length.

Is Inkling Small available through an API?+

Inkling Small is marked as API-available. The directly sourced provider records currently include Deepinfra and Openrouter.

How large is Inkling Small?+

The current record lists 276B total parameters and 12B active parameters. Its architecture is InklingForConditionalGeneration.

What capabilities and tasks does Inkling Small support?+

Inkling Small's recorded capabilities are agents, chat, coding, generation, reasoning, tools, and vision. Its supported tasks are audio, coding, image, reasoning, and text.

How much does Inkling Small cost through an API?+

The lowest directly sourced prices currently attached to Inkling Small are $0.45 per million input tokens through Deepinfra and $1.20 per million output tokens through Deepinfra. Prices are provider-specific and should be checked against each cited observation date.

Can Inkling Small be self-hosted?+

Inkling Small is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.

Does Inkling Small have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are Inkling Small and thinkingmachines/Inkling-Small.

Which models can Inkling Small be compared with?+

The current compatible peer set includes DeepSeek V4.1 Flash, Llama 4 Maverick 17B 128E Instruct, Qwen3.8 2.4T A95B, Qwen3.8 27B, and Mistral Large 3. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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