AI Model Profile
DeepSeek V4 Flash
DeepSeek V4 Flash is listed in DeepSeek API docs as a current model supporting thinking and non-thinking modes, JSON output, tool calls, and a 1M context length.
Verification & Sources
- Status
- Verified
- Source links
- 2
- Freshness
- Verified June 18, 2026
- Last verified
- June 18, 2026
- Last updated
- June 17, 2026
Key source checks
Suggest a correction
Benchmark Caveat
Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.
Best for
Candidate for cost-sensitive DeepSeek API workflows, agent integrations, and reasoning/coding tests.
Skip if
Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.
Strengths
Official docs list a long context window, tool calls, JSON output, and low listed API prices.
Weaknesses
This profile does not independently validate benchmark quality, reliability, or latency.
Agent suitability
Candidate for agent tools because DeepSeek docs mention agent integrations and tool calls.
Kingy AI take
Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.
Full Model Notes
DeepSeek V4 Flash is listed in DeepSeek API docs as a current model supporting thinking and non-thinking modes, JSON output, tool calls, and a 1M context length.
Coding notes
Evaluate coding workflows directly, especially if replacing other API backends.
Reasoning notes
Official docs describe thinking and non-thinking mode support.
Creative notes
Not primarily a creative/media model in this profile.
Research notes
Candidate for long-context and low-cost research tests with current API docs.
API pricing notes
$0.14 cache-miss input MTok and $0.28 output MTok in DeepSeek pricing docs as checked on 2026-06-18.
License notes
Review the official provider terms and model documentation before relying on license or redistribution assumptions.
