Model profile
Thinking Machines
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Thinking Machines: Inkling

Thinking Machines: Inkling is a budget-priced multimodal generalist from Thinking Machines with heavy runtime profile, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalHeavy latencyLarge contextBudget pricing
Intelligence
42.3

Benchmark blend

Coding
52.1

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$1.00

Budget tier

Decision snapshot
61

Thinking Machines: Inkling currently reads as a budget multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Multimodal
Latency tier
Heavy
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
42.3
42

General reasoning and benchmark headroom.

Situational
Speed
68 tok/s
45

TTFT 2.50s

Situational
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$1.00
86

$4.05 output / 1M

Efficient

Editorial Profile

Thinking Machines: Inkling in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 52Math score N/AVision enabled

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

Identity

Thinking Machines multimodal profile

Positioning

Long-context research / Multimodal with large context and heavy runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Thinking Machines: Inkling Small

Intelligence
41.2
Context
1049K Tokens
Input Price
$0.30
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Thinking Machines: Inkling Small (batch)

Intelligence
N/A
Context
524K Tokens
Input Price
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Thinking Machines

Thinking Machines: Inkling (batch)

Intelligence
N/A
Context
524K Tokens
Input Price
$1.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
42.3
GPQA
87.2%
HLE
31.9%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
52.1
SciCode
46.1%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
73.3%

Extra benchmark cuts are not available for this category yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1049K Tokens
Vision
Enabled
Modalities
audio, image, text
Tokenizer
Other
Max Completion
471859
Moderation
No
Supported Parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p
Input Modalities
audioimagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$1.00
Output
per 1M output tokens
$4.05
Blended
AA 3:1 mix
$1.76

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.