Dots3-Note Preview
nano-gpt/dots-3-note-preview-freePar nano-gpt · sorti 2026-08-15
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding83
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)12/20
- Provider availability1/10
Agents91
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output70
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context60
- Context window (100K → 2M)60/90
- Has published price for full window0/10
Vision75
- Accepts image input50/50
- Context window (10K → 1M)24/30
- Has published price0/10
- Provider availability1/10
Production-readiness45
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
Disponible chez 1 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | dots-studio/dots-3-note-preview:free | Unknown | Unknown | 393K | 2026-08-15 |
Frequently asked questions
How much does Dots3-Note Preview cost?
Dots3-Note Preview does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check nano-gpt's official pricing page for the most current rates.
What is the context window of Dots3-Note Preview?
Dots3-Note Preview has a context window of 393K tokens, with a max output of 393K tokens per reply. This is the total combined size of prompt + completion.
Does Dots3-Note Preview support tool calling?
Yes. Dots3-Note Preview supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Dots3-Note Preview support structured output / JSON mode?
Yes. Dots3-Note Preview supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Dots3-Note Preview accept image input?
Yes. Dots3-Note Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.
Is Dots3-Note Preview open-weight?
Yes. Dots3-Note Preview's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Dots3-Note Preview?
If Dots3-Note Preview doesn't fit, consider ByteDance Seed 2.1 Turbo, Auto model, Claw Low. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More nano-gpt models
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- Auto modelUnknown pricing
- Claw Low$0.25 in / $1.50 out
- Jamba Large 1.6$1.99 in / $7.99 out
- Celeris 1$2.00 in / $6.00 out
Capability lists this model is in
Dernière mise à jour :
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.