Auto model
nano-gpt/auto-model提供： nano-gpt · リリース 2024-06-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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.
Coding21
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)20/20
- Provider availability1/10
Agents16
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context80
- Context window (100K → 2M)80/90
- Has published price for full window0/10
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.
1 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | auto-model | Unknown | Unknown | 1M | 2024-06-01 |
Frequently asked questions
How much does Auto model cost?
Auto model 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 Auto model?
Auto model has a context window of 1M tokens, with a max output of 1M tokens per reply. This is the total combined size of prompt + completion.
Does Auto model support tool calling?
No. Auto model does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Auto model support structured output / JSON mode?
No. Auto model does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Auto model accept image input?
No. Auto model only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Auto model open-weight?
No. Auto model is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Auto model?
If Auto model doesn't fit, consider Brave (Answers), Exa (Research), Auto model (Basic). 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More nano-gpt models
- Brave (Answers)$5.00 in / $5.00 out
- Exa (Research)$2.50 in / $2.50 out
- Auto model (Basic)$10.00 in / $19.99 out
- Jamba Mini$0.20 in / $0.41 out
- Yi Large$3.20 in / $3.20 out
Capability lists this model is in
最終更新：
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.