DeepSeek
Best for Research
V4 Pro 0423 on OpenRouter for long-context reasoning, with provider-specific pricing and direct API version caveats.
At a glance
API model ID: deepseek/deepseek-v4-pro
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
OpenRouter's listing describes high and xhigh reasoning, with xhigh corresponding to the model's max effort. No universal default is asserted here. Check endpoint support and do not confuse these settings with the newer direct-API effort mappings.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Look for concrete failure conditions before approving a large change.
Evaluate the architecture proposal below against our stated scale, reliability and migration constraints. Identify the three strongest failure scenarios, the evidence for each and the smallest experiment that would test it. Distinguish a demonstrated defect from a speculative risk. Finish with a staged recommendation and explicit rollback conditions.
Workflow 02
Make contradictions visible instead of smoothing them away.
Read these dated source documents and build an evidence matrix for the decision we need to make. Identify agreements, contradictions and facts that may have changed over time. Cite the relevant source and date for each claim. Recommend what to verify next, and do not choose an unsupported fact merely to make the story consistent.
Workflow 03
Translate a complex problem into a measurable acceptance test.
Using this task specification and sample failures, design an evaluation for a reasoning model. Define success criteria, adversarial edge cases, an evidence-checking procedure and a scoring sheet. Separate model mistakes from missing inputs or tool failures. Suggest an efficient test order and a clear stop condition without inventing benchmark results.
Developer reference
These are named-provider OpenRouter reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.2067 |
| Output | $4.20 |
Common questions
No. The supplied OpenRouter page labels deepseek/deepseek-v4-pro as V4 Pro 0423. DeepSeek's direct pricing table names 0813 separately; this guide does not silently substitute it.
The September release notice says it redirects to V4.1 Flash from September 14 until V4.1 Pro launches, but the current pricing table still names V4 Pro 0813. Verify the actual service before relying on either interpretation.
OpenRouter lists a 1,048,576-token context and up to 393,216 completion tokens for this model. The selected host can impose narrower limits, so these are not a promise for every endpoint or app workspace.
The OpenRouter description maps xhigh to the model's max effort. It can require more computation and time; test it against high on representative tasks instead of assuming it is always the better choice.
No. It is the named Relace hosting route's token pricing on OpenRouter. Direct DeepSeek API rates and EZ Ai Assist subscription prices are separate.
A fixed version can help repeat an evaluation or investigate a regression. Pin the host and settings too, and maintain a replacement plan because hosting availability and alias behavior can change.
No. Supply the evidence, ask for source references and check the conclusions. External verification needs an available tool or a human review; the model name alone does not provide either.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
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