Specifications
Context Window
—
Input Price/1M
$0.30
Output Price/1M
$1.20
Parameters
—
Speed
145 tok/s
Latency (TTFT)
1.6s
Benchmarks
Inkling Small results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 52.9 | 100.0 | — |
| SciCode | 49.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 41.2 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 90.0 | 100.0 | — |
| HLE | 32.0 | 100.0 | — |
Information
- Release date
- July 30, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Inkling Small
What is Inkling Small?
Inkling Small is an AI model developed by Thinking Machines, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Thinking Machines's cloud API.
Pricing & Costs in 2026
Inkling Small is usage-based, priced at $0.3/1M input tokens and $1.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Inkling Small was evaluated on 6 different benchmarks, covering categories like Coding, Long Context, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Inkling Small specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Inkling Small competes directly with similarly capable models. Thinking Machines competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Inkling Small?
Inkling Small is an AI model developed by Thinking Machines. It is a text model.
How much does Inkling Small cost?
Inkling Small costs $0.3/1M input tokens and $1.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Inkling Small compare with other models?
In available benchmarks, Inkling Small scored: AA Coding Index: 52.9/100, SciCode: 49/100, AA-LCR: 63/100. See the full table above for a detailed comparison.
Is Inkling Small open source?
No, Inkling Small is a proprietary model from Thinking Machines. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Inkling Small best for?
Inkling Small excels at general-purpose language tasks.
Last updated: August 10, 2026 • View methodology →