DeepSeek V4.1 Flash Open vs AMNova Micro 1.0 Paid
DeepSeek V4.1 Flash vs Nova Micro 1.0 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Nova Micro 1.0 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.6 /M outputNo per-token fees if you self-host
$0.14 /M outputManaged API (no infra to run)
DeepSeek V4.1 Flash vs Nova Micro 1.0 specs
| Spec | DeepSeek V4.1 Flash | Nova Micro 1.0 | Winner |
|---|---|---|---|
| Maker | DeepSeek | Amazon | – |
| Type | Open-weight | Proprietary | |
| Context window | 1M tokens | 128K tokens | |
| Input price | $0.15/M · free self-host | $0.04/M | AMNova Micro 1.0 |
| Output price | $0.6/M · free self-host | $0.14/M | AMNova Micro 1.0 |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | MIT | Proprietary |
Price gap & when to choose each
Nova Micro 1.0 is ~4.3× cheaper than DeepSeek V4.1 Flash on output tokens ($0.14 vs $0.6 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 1M context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | DeepSeek V4.1 Flash | Nova Micro 1.0 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: DeepSeek V4.1 Flash vs Nova Micro 1.0
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How DeepSeek V4.1 Flash and Nova Micro 1.0 score
| Criterion | DeepSeek V4.1 Flash | Nova Micro 1.0 |
|---|---|---|
| Cost-efficiency | 5.0 | 5.0 |
| Context window | 5.0 | 3.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
DeepSeek V4.1 Flash Open
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Nova Micro 1.0 Paid
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is DeepSeek V4.1 Flash as good as Nova Micro 1.0?
DeepSeek V4.1 Flash is open-weight and competitive on many tasks, but Nova Micro 1.0 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run DeepSeek V4.1 Flash locally?
Yes. DeepSeek V4.1 Flash has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Nova Micro 1.0 is API-only and cannot be self-hosted.
DeepSeek V4.1 Flash vs Nova Micro 1.0 — which should I pick in 2026?
Choose DeepSeek V4.1 Flash if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Nova Micro 1.0 if you want frontier capability through a managed API with zero infrastructure to run.
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