Inkling
The non-thinking version of Thinking Machines' 975B-parameter open-weights Mixture-of-Experts generalist with 41B active parameters. It gives faster direct answers across text, images, and audio, and is built for agentic coding, tool use, detailed instruction following, and long-context work.
- Vision
- Audio Input
- Tool Calling
- Structured Output
Added Jul 15, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.95
- Output
- $4.05
- Cache read
- $0.16
Specifications
- Context window
- 1M
- Max output
- 32.8K
- Parameters
- 975B / 41B
- Total / active
- Avg output (7d)
- 834 tokens
- Longer than 63% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.0
Coding Index
52.1
Agentic Index
22.5
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
5.0%
Better than 29% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
0.3%
Better than 3% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
832 Elo
Better than 36% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1079 Elo
Better than 52% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
12.8%
Better than 51% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
77.3%
Better than 78% of models compared
MLCR-AA
Medical long-context reasoning
12.2%
Better than 38% of models compared
Reasoning
HLE
Humanity's Last Exam
31.9%
Better than 79% of models compared
CritPt
Research-level physics reasoning
5.4%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
1.0%
Better than 42% of models compared
SciCode
Python programming for scientific computing
47.0%
Better than 45% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
41.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
67.7%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
87.2%
Better than 83% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
77.3%
Better than 78% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
28.9%
Last updated Oct 5, 2026
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