OpenAI o3-mini (Low)
nano-gpt/o3-mini-lowVon nano-gpt · Familie: o-mini · veröffentlicht 2025-01-31
⚠ Dies ist ein Community-Finetune oder Derivat — keine offizielle Anbieter-Veröffentlichung.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
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.
Coding77
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- 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 efficiency26
- Headline price (log-scaled)26/95
- Has prompt-cache pricing0/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Production-readiness50
- 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)0/15
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 | $59.98 $0.06 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 | $120 $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 | $29.99 $0.03 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 | $99.96 $0.10 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $132 $0.13 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von nano-gpt · openai/o3-mini-low
Bei 1 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | openai/o3-mini-low | $10.00 | $19.99 | 200K | 2025-01-31 |
Frequently asked questions
How much does OpenAI o3-mini (Low) cost?
OpenAI o3-mini (Low) costs $10.00 per 1M input tokens and $19.99 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 OpenAI o3-mini (Low)?
OpenAI o3-mini (Low) has a context window of 200K tokens, with a max output of 100K tokens per reply. This is the total combined size of prompt + completion.
Does OpenAI o3-mini (Low) support tool calling?
Yes. OpenAI o3-mini (Low) 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 OpenAI o3-mini (Low) support structured output / JSON mode?
Yes. OpenAI o3-mini (Low) 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 OpenAI o3-mini (Low) accept image input?
No. OpenAI o3-mini (Low) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is OpenAI o3-mini (Low) open-weight?
No. OpenAI o3-mini (Low) 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 OpenAI o3-mini (Low)?
If OpenAI o3-mini (Low) 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
Zuletzt aktualisiert:
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.