Nova Micro 1.0
Amazon · released Dec 5, 2024
- Type
- Closed
- Input
- None held
- Output
- None held
- Cached
- None held
We don't hold a list price for this model yet · hosted only — we have no record of published weights
Our take
Written Sep 2, 2026Nova Micro is Amazon's lightweight text-only model with a 128,000-token request limit and measured skills across six Arena categories. It is a low-cost hosted option whose coding score sits well above its other measured abilities.
Pick this for low-cost general text tasks or coding workloads where it scores highest relative to its other skills. Use it for long-context needs up to 128,000 tokens at a low output rate. Skip it if you need creative writing quality, image or audio handling, or consistent throughput guarantees.
The case for it
- Coding is its strongest measured skill, 48 points above its own overall text score.
- Among the cheapest hosted options we list, with offers from two providers.
- 128,000-token request limit is large for its price tier.
The case against it
- Creative writing is its weakest measured category, 43 points below its overall text score.
- Maths and instruction following lag its coding peak by over 65 points each.
- Throughput varies across Bedrock endpoints, and OpenRouter throughput is unmeasured.
How good is it?
A small closed text model for basic chat, though it trails the field on everyday questions, writing and code.
- getting answers to everyday questionsArena Text (overall) · 162nd of 168
- drafts, rewrites and editingArena Creative Writing · 163rd of 168
- writing and completing codeArena Coding · 160th of 168
EverydayGeneral questions and everyday reasoning
Arena Text (overall)162nd of 168 · 1241
CodingWriting and fixing code on its own
Arena Coding160th of 168 · 1289
Arena Coding is the only board that has scored it for this.
AgenticPlanning, calling tools, staying on task
Not yet scored on Arena Agent.
WritingDrafting and rewriting prose
Arena Creative Writing163rd of 168 · 1197
Arena Creative Writing is the only board that has scored it for this.
These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.
Every published score for this model6 scoresEvery figure we hold, from 6 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
- per 1M tokens
- $0.035 in / $0.14 out
- Context served
- 128K
- Throughput
- ~75 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.035 / $0.14checked 4 hours ago | 128K | not measured | Unknown | Unknown | Unknown |
| Amazon BedrockThrough OpenRouter | $0.035 / $0.14checked 4 hours ago | 128K5K max reply | 75 tok/s | No | No | Confirmed |
| Amazon Bedrockeu-west-1Through OpenRouter | $0.035 / $0.14checked 4 hours ago | 128K5K max reply | 47 tok/s | No | No | Confirmed |
OpenRouterAcross the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✗ | ✗ |
| Amazon BedrockThrough OpenRouter | ✓ | ✗ | ✗ |
| Amazon Bedrockeu-west-1Through OpenRouter | ✓ | ✗ | ✗ |
Tool calling: 3 of 3 listings say yes. JSON output: 0 of 3 listings say yes, 3 say no. Strict schema: 0 of 3 listings say yes, 3 say no.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 3 listings does not say whether it trains on prompts.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text in, text out
- Catalogue slug
- amazon-nova-micro-1-0