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Thinking Machines: Inkling Coding Benchmark

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,...

Context524,288tokens
Max Output471,859tokens
Inputmodalities
Price$0.95/1M input

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Kilo Bench

% Completion on Terminal Bench 2.0
43.6%
Cost per attempt (USD)
$35.69
Benchmark
Terminal Bench 2.0

Official Kilo eval results. Cost is averaged per complete benchmark attempt.

Security

Enkrypt AI red-team scores for Thinking Machines: Inkling. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
15.2

Lower is safer

Safety

24.3/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

15.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

19.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak0.7/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias61.0/ 100

Share of tests that elicited biased responses.

Harmful content2.2/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity2.0/ 100

Share of tests that produced toxic or abusive content.

CBRN8.7/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code2.2/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
15.2 / 100
Safety
24.3 / 100
NIST
15.0 / 100
OWASP
19.0 / 100
Jailbreak
0.7 / 100
Bias
61.0 / 100
Harmful content
2.2 / 100
Toxicity
2.0 / 100
CBRN
8.7 / 100
Insecure code
2.2 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.95
per 1M tokens
Output Tokens
$4.05
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0785

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
thinkingmachines/inkling
Created
July 17, 2026
Tokenizer
Other
Input Modalities
TextImageAudio
Context Window
524,288 tokens
Max Completion Tokens
471,859 tokens
Input Price
$0.95 per 1M tokens
Output Price
$4.05 per 1M tokens
Cache Read Price
$0.16 per 1M tokens
Content Moderation
Disabled

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