Nova Micro 1.0 with Jev
Nova Micro 1.0 is a model from Amazon, released 2024-12-05. It costs $0.035 per million input tokens and $0.140 per million output tokens, reads up to 128K tokens of context, and writes up to 5,120 tokens in one reply. Through llm11, set model to amazon/nova-micro-v1.
- Input price
- $0.035 / 1M
- Output price
- $0.140 / 1M
- Context window
- 128K tokens
- Max output
- 5K tokens
- Released
- 2024-12-05
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 96% of the 332 priced models we can call cost more.
Using Nova Micro 1.0 with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nova Micro 1.0 does the answering when Jev sends it work, or when you name it yourself. At list price Nova Micro 1.0 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass amazon/nova-micro-v1 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Nova Micro 1.0 with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00005 | $0.046 |
| Question over retrieved documents | 4,000 / 500 | $0.00021 | $0.210 |
| Long document summary | 30,000 / 1,000 | $0.00119 | $1.19 |
Cheaper models to try
The catalogue has no benchmark score for Nova Micro 1.0, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Mistral Small 3 | $0.050 | $0.080 | 33K | |
| Meta Llama 3.1 8B Instruct | $0.050 | $0.080 | 131K | |
| Qwen Qwen3.7 Flash | $0.030 | $0.130 | 1M | |
| OpenAI gpt-oss-20b | $0.018 | $0.090 | 131K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="amazon/nova-micro-v1",
messages=[{"role": "user", "content": "Hello"}],
)More from Amazon
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Nova 2 Lite | $0.300 | $2.50 | 1M | |
| Nova Premier 1.0 | $2.50 | $13 | 1M | |
| Nova Lite 1.0 | $0.060 | $0.240 | 300K | |
| Nova Pro 1.0 | $0.800 | $3.20 | 300K |
Questions
- What is Nova Micro 1.0 with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nova Micro 1.0 does the answering when Jev sends it work, or when you name it yourself. At list price Nova Micro 1.0 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass amazon/nova-micro-v1 as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Nova Micro 1.0 a System One model?
- No. Nova Micro 1.0 answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Nova Micro 1.0 cost?
- $0.035 per million input tokens and $0.140 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00021, so a thousand of them is about $0.210. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Nova Micro 1.0 context window?
- 128,000 tokens, with up to 5,120 tokens in a single reply.
- Does Nova Micro 1.0 support tool calling and structured output?
- The catalogue lists tool calling, but it does not list structured output and reasoning controls.
- Can I use Nova Micro 1.0 through llm11?
- Yes. Set model to amazon/nova-micro-v1 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Nova Micro 1.0?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Nova Micro 1.0 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass amazon/nova-micro-v1 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Nova Micro 1.0?
- Nearest in price and below it: Mistral Mistral Small 3 at $0.050 in and $0.080 out, Meta Llama 3.1 8B Instruct at $0.050 in and $0.080 out and Qwen Qwen3.7 Flash at $0.030 in and $0.130 out. The catalogue has no benchmark score for Nova Micro 1.0, so this is a price ordering. It does not claim these answer as well.