Models profile
DeepSeek V4
Open DeepSeek V4 model family for million-token context, coding, reasoning, and agent workflows.
DeepSeek V4 is DeepSeek's current open model family, with V4-Pro and V4-Flash variants surfaced through DeepSeek's official API docs and DeepSeek AI's Hugging Face release pages.
Model profile
What is DeepSeek V4 good for?
Model profiles should make capability, deployment, license, and evaluation tradeoffs concrete before readers choose a model for an agent or local workflow.
DeepSeek V4 is the current DeepSeek family to evaluate after DeepSeek-R1. For OpenAgent readers, the important question is not whether V4 is new; it is whether V4-Pro or V4-Flash improves the specific coding, tool, long-context, or agent workload you plan to run.
DeepSeek V4 is an open model resource to evaluate by workload, serving path, context behavior, license terms, and how reliably it supports the agent or local AI tasks you actually plan to run.
Fit check
Workloads where this model makes sense
Good fit if
- Developers testing open models for coding, reasoning, and agent workflows
- Teams comparing V4-Pro quality against lower-cost V4-Flash throughput
- Builders who need long-context model options with official API and open-weight reference links
Not a fit if
- Teams that need a simple consumer chatbot with no model or provider evaluation
- Builders who cannot review model cards, license terms, safety behavior, and serving cost before adoption
- Use cases that require verified image input support rather than text, tool calls, JSON output, and long-context reasoning
Model evaluation
What to test before adopting it
Reasoning, coding, multimodal, OCR, local assistant, or tool-planning behavior.
The workload should drive the model choice.Local runtime, open weights, hosted API, self-hosted inference, or hybrid routing.
A strong model can still fail your constraints.Real prompt sets, latency, cost, context handling, license fit, and retry behavior.
Benchmarks alone are not enough.First test
How to evaluate it before committing
Keep the first test small enough that you can inspect the source, understand the permissions, and compare the result with nearby OpenAgent resources.
Workflows
Best model workloads to evaluate
Coding agent model routing
Test V4-Flash for cheaper planning and executor steps, then escalate to V4-Pro when deeper reasoning or code review quality is required.
Long-context research and analysis
Evaluate how V4 handles large documents, repository context, meeting archives, or task traces before trusting million-token claims.
Open-model comparison baseline
Compare DeepSeek V4 against Qwen, Kimi, GLM, Mistral, Gemma, and DeepSeek-R1 with the same prompts, latency budget, and license review.
Compare
Compare by workload and serving path
Choose DeepSeek V4 when you need the current DeepSeek family vs DeepSeek-R1
R1 remains useful as a reasoning baseline, but V4 is the newer DeepSeek family to test for long context, coding, tool calls, and current API behavior.
Use V4-Flash before V4-Pro when cost and throughput matter vs V4-Pro-only routing
Flash should be evaluated first for simpler agent steps; Pro is more appropriate when quality gains justify the higher-cost path.
Do not rank it from benchmark headlines alone vs generic leaderboard selection
Run your own coding traces, tool-call prompts, retrieval context, and safety checks before putting V4 into a product loop.
| Resource | Category | License | Stars |
|---|---|---|---|
| DeepSeek-R1 | Models | MIT | 91,963 |
| GLM-5 | Models | MIT | n/a |
| GLM-OCR | Models | MIT model / Apache-2.0 code | n/a |
FAQ
Model adoption questions
What should I check before using DeepSeek V4?
Run DeepSeek V4 on a fixed prompt set from your own workflow. Compare quality, latency, context handling, retry behavior, deployment path, and license fit against nearby open models before adopting it.
Is DeepSeek V4 open source?
DeepSeek V4 is listed with MIT based on the official source links in this profile. Re-check the repository, model card, or docs before production use.
Who should evaluate DeepSeek V4?
DeepSeek V4 is most worth evaluating for developers testing open models for coding, reasoning, and agent workflows.
Is DeepSeek V4 newer than DeepSeek-R1?
Yes. This page treats DeepSeek-R1 as an older reasoning baseline and DeepSeek V4 as the current DeepSeek model family to evaluate for coding, long context, tool calls, and agent workflows.
Should I use V4-Pro or V4-Flash first?
Start with V4-Flash for cost-sensitive or high-throughput tasks, then test V4-Pro on harder coding and reasoning prompts where quality gains might justify the cost.
Is DeepSeek V4 suitable for image input?
Verify the current official docs before relying on image input. This profile focuses on the official text, long-context, JSON output, and tool-call signals surfaced in DeepSeek's V4 docs.
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