---
title: "deepseek-flash — LLM-TEST.com"
url: /models/deepseek-flash/
canonical_url: https://llm-test.com/models/deepseek-flash/
language: en
type: model
summary: "DeepSeek's fast, inexpensive model for high-throughput and latency-sensitive workloads. Open weights under MIT, it is a budget-friendly companion to the v4-pro flagship."
last_updated: "2026-11-05"
---

# deepseek-flash

_DeepSeek · Fast · open weights_

DeepSeek's fast, inexpensive model for high-throughput and latency-sensitive workloads. Open weights under MIT, it is a budget-friendly companion to the v4-pro flagship.

## At a glance

- Released: Aug 20, 2026
- Provider: DeepSeek
- Context window: 256,000 tokens
- Max output: 16,000 tokens
- Modalities: Text → text
- Knowledge cutoff: May 2026
- API model ID: `deepseek-flash`
- License: Open weights (MIT)

## Pricing

- Standard: $0.27 input / $1.10 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.001 (standard)

## What's new vs deepseek-v3-flash (February 2026)

- Lower latency and higher throughput
- Improved instruction following for its size
- Better short-context reasoning
- Smaller context and output than v4-pro
- Text-only, no image input

## Best use cases

- **High-volume tasks** — Runs classification and routing cheaply at scale.
- **Self-hosted serving** — Open weights allow local or private deployment.
- **Quick chat** — Powers simple assistant flows with low latency.

## Strengths

- Very cheap
- Low latency
- Open weights
- High throughput

## Limitations

- Limited deep reasoning
- Text-only

## Where to get access

- Consumer app: DeepSeek app (web, iOS, Android) — https://chat.deepseek.com
- API: the DeepSeek Platform — https://platform.deepseek.com
- Also available: open weights on Hugging Face
- Docs: https://api-docs.deepseek.com

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/