DeepSeek: DeepSeek V4 Flash
Analysis Summary
DeepSeek: DeepSeek V4 Flash sits in the Professional tier on our leaderboard, ranked #23 of 523 published models on overall intelligence. At $0.140 input and $0.280 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use and function calling.
Editorial notes
DeepSeek V4 Flash is a standout value proposition ā excellent reasoning and strong agentic performance at just $0.14/1M input tokens with a 1M token context window. Its combination of solid coding ability, high agentic scores, and ultra-low pricing makes it one of the most cost-efficient capable models available, though limited Western provider support is a consideration for UK businesses.
Assessed April 24, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and..
Capabilities
Performance Indices
Source: Artificial Analysis
This model was released recently. Independent benchmark evaluations are typically completed within days of release ā these figures are preliminary and are likely to be updated as testing is finalised.
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V4 Flash stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000140 |
| Output | $0.28 | $0.000280 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 24, 2026 12:17 pm