DeepSeek V4.1 Flash Open vs PEPerceptron Mk1 Paid
DeepSeek V4.1 Flash vs Perceptron Mk1 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Perceptron Mk1 — 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
$1.5 /M outputManaged API (no infra to run)
DeepSeek V4.1 Flash vs Perceptron Mk1 specs
| Spec | DeepSeek V4.1 Flash | Perceptron Mk1 | Winner |
|---|---|---|---|
| Maker | DeepSeek | Perceptron | – |
| Type | Open-weight | Proprietary | |
| Context window | 1M tokens | 33K tokens | |
| Input price | $0.15/M · free self-host | $0.15/M | = Tie |
| Output price | $0.6/M · free self-host | $1.5/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | No | |
| Self-hostable | Yes | No (API only) | |
| License | MIT | Proprietary |
Price gap & when to choose each
DeepSeek V4.1 Flash is ~2.5× cheaper than Perceptron Mk1 on output tokens ($0.6 vs $1.5 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 want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | DeepSeek V4.1 Flash | Perceptron Mk1 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✗ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: DeepSeek V4.1 Flash vs Perceptron Mk1
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How DeepSeek V4.1 Flash and Perceptron Mk1 score
| Criterion | DeepSeek V4.1 Flash | Perceptron Mk1 |
|---|---|---|
| Cost-efficiency | 5.0 | 4.5 |
| Context window | 5.0 | 2.5 |
| 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...
Perceptron Mk1 Paid
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...
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 Perceptron Mk1?
DeepSeek V4.1 Flash is open-weight and competitive on many tasks, but Perceptron Mk1 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. Perceptron Mk1 is API-only and cannot be self-hosted.
How much cheaper is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash costs $0.6/M output vs $1.5/M for Perceptron Mk1 — roughly 3x cheaper via API, and free if you self-host.
DeepSeek V4.1 Flash vs Perceptron Mk1 — 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 Perceptron Mk1 if you want frontier capability through a managed API with zero infrastructure to run.
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