THInkling Small Open vs 
Sonar Paid
Inkling Small vs Sonar compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1.2 /M outputNo per-token fees if you self-host
$1 /M outputManaged API (no infra to run)
Inkling Small vs Sonar specs
| Spec | Inkling Small | Sonar | Winner |
|---|---|---|---|
| Maker | Thinkingmachines | Perplexity | – |
| Type | Open-weight | Proprietary | THInkling Small |
| Context window | 524K tokens | 127K tokens | THInkling Small |
| Input price | $0.45/M · free self-host | $1/M | THInkling Small |
| Output price | $1.2/M · free self-host | $1/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | No | THInkling Small |
| Self-hostable | Yes | No (API only) | THInkling Small |
| License | Open weights | Proprietary | THInkling Small |
Price gap & when to choose each
- You want to self-host or run on your cloud
- You need the longer 524K context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Inkling Small | Sonar |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✗ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: Inkling Small vs Sonar
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Inkling Small and Sonar score
| Criterion | Inkling Small | Sonar |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 4.5 | 3.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Inkling Small Open
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Sonar Paid
Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Inkling Small as good as Sonar?
Inkling Small is open-weight and competitive on many tasks, but Sonar may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Inkling Small locally?
Yes. Inkling Small has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Sonar is API-only and cannot be self-hosted.
Inkling Small vs Sonar — which should I pick in 2026?
Choose Inkling Small if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Sonar if you want frontier capability through a managed API with zero infrastructure to run.
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