Inkling Small
The direct-answer version of Thinking Machines' 276B-parameter open-weights multimodal Mixture-of-Experts model with 12B active parameters. It accepts text and images, and is designed for coding, tool use, instruction following, and general conversational work.
- Vision
- Audio Input
- Tool Calling
Added Jul 31, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.45
- Output
- $1.20
- Cache read
- $0.100
Specifications
- Context window
- 524.3K
- Max output
- 32.8K
- Parameters
- 276B / 12B
- Total / active
- Avg output (7d)
- 346 tokens
- Longer than 30% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.7
Coding Index
52.9
Agentic Index
23.5
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
4.8%
Better than 27% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
911 Elo
Better than 42% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1124 Elo
Better than 56% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.2%
Better than 45% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
75.7%
Better than 74% of models compared
Reasoning
HLE
Humanity's Last Exam
33.3%
Better than 79% of models compared
CritPt
Research-level physics reasoning
8.3%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
1.0%
Better than 42% of models compared
SciCode
Python programming for scientific computing
49.7%
Better than 51% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
33.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
63.0%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
89.5%
Better than 87% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
75.7%
Better than 73% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
31.2%
Last updated Oct 15, 2026
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