Specifications
Context Window
—
Input Price/1M
$1.87
Output Price/1M
$4.68
Parameters
—
Speed
83 tok/s
Latency (TTFT)
1.6s
Benchmarks
Inkling results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 52.1 | 100.0 | Artificial Analysis official API |
| SciCode | 46.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1441.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 40.7 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 87.0 | 100.0 | Artificial Analysis official API |
| HLE | 30.0 | 100.0 | — |
Information
- Release date
- July 15, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Inkling
What is Inkling?
Inkling 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 is usage-based, priced at $1.87/1M input tokens and $4.68/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Inkling was evaluated on 7 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 specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Inkling 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?
Inkling is an AI model developed by Thinking Machines. It is a text model.
How much does Inkling cost?
Inkling costs $1.87/1M input tokens and $4.68/1M 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 compare with other models?
In available benchmarks, Inkling scored: AA Coding Index: 52.1/100, SciCode: 46/100, AA-LCR: 63/100. See the full table above for a detailed comparison.
Is Inkling open source?
No, Inkling 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 best for?
Inkling excels at general-purpose language tasks.
Last updated: July 17, 2026 • View methodology →