AionLabs: Aion-2.5
nano-gpt/aion-2-5От nano-gpt · выпуск 2026-03-20
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
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.
Coding3
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents16
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output12
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume12/20
Cost efficiency52
- Headline price (log-scaled)47/95
- Has prompt-cache pricing5/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness65
- Number of independent providers5/40
- Has published per-token price20/20
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $6.50 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $13.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $3.50 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $11.00 $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $13.80 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от nano-gpt · aion-labs/aion-2.5
Доступна у 1 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | aion-labs/aion-2.5 | $1.00 | $3.00 | 131K | 2026-03-20 |
Frequently asked questions
How much does AionLabs: Aion-2.5 cost?
AionLabs: Aion-2.5 costs $1.00 per 1M input tokens and $3.00 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of AionLabs: Aion-2.5?
AionLabs: Aion-2.5 has a context window of 131K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does AionLabs: Aion-2.5 support tool calling?
No. AionLabs: Aion-2.5 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does AionLabs: Aion-2.5 support structured output / JSON mode?
No. AionLabs: Aion-2.5 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can AionLabs: Aion-2.5 accept image input?
No. AionLabs: Aion-2.5 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is AionLabs: Aion-2.5 open-weight?
No. AionLabs: Aion-2.5 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 AionLabs: Aion-2.5?
If AionLabs: Aion-2.5 doesn't fit, consider v0 1.5 LG, v0 1.0 MD, 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 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
- v0 1.5 LG$15.00 in / $75.00 out
- v0 1.0 MD$3.00 in / $15.00 out
- Auto model (Basic)$10.00 in / $19.99 out
- Jamba Large$1.99 in / $7.99 out
- Hunyuan Turbo S$0.19 in / $0.37 out
Последнее обновление:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.