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DeepSeek Advanced

DeepSeek-V2.5

DeepSeek-V2.5 combined DeepSeek's chat and coding capabilities in September 2024. The weights remain available, but the V2.5 API generation is discontinued.

General Purpose Language ModelText Freemium
In plain English

What is this model and why does it matter?

DeepSeek-V2.5 combined DeepSeek's general chat and coding models in September 2024. It is now a historical generation, not a current DeepSeek API model.

Historical DeepSeek researchCoding and chat model comparisonCompatibility testingSelf-hosted experiments
Model overview

DeepSeek-V2.5: features, use cases and important details

DeepSeek-V2.5 was released on September 5, 2024 as a combined model that brought together DeepSeek-V2-Chat and DeepSeek-Coder-V2 capabilities. DeepSeek said the release improved writing and instruction following while retaining coding features from the Coder line.

Historical capabilities

At release, DeepSeek exposed V2.5 through its chat and coder API aliases for backward compatibility. The official announcement specifically states that function calling, fill-in-the-middle completion and JSON output remained available. DeepSeek also released the model weights on Hugging Face under its model agreement.

Lifecycle status

DeepSeek-V2.5 should no longer be presented as a current API model. In December 2024, DeepSeek announced the final V2.5 update and said the V2 series had reached its end. The DeepSeek API then moved to DeepSeek-V3 and later generations. Historical V2.5 token prices therefore should not be shown as current pricing.

When the model page is still useful

This page remains valuable for developers researching DeepSeek’s model evolution, reproducing older integrations or comparing the company’s general and coding model lines. For new production APIs, use the provider’s current model documentation instead.

Get started

How to use this model

  1. Use the official DeepSeek-V2.5 checkpoint only when this exact generation is required.
  2. Review the DeepSeek Model License.
  3. Provision appropriate high-memory inference hardware.
  4. For API projects, choose a current DeepSeek model rather than the old V2.5 endpoint identity.
  5. Validate outputs and tool-use behavior on your own application.
Copy and try

Example prompts

  • Refactor this Python function and explain the changes.
  • Return this data transformation plan as valid JSON.
  • Summarize this technical specification and identify implementation risks.
Capabilities

What it can do

  • General instruction following
  • Coding
  • Function calling
  • JSON output
  • 128K-context family architecture
Best for

Practical use cases

  • Historical API compatibility
  • Coding research
  • Tool-use experiments
  • Model comparisons
Pricing

What does it cost?

Historical open-weight checkpoint; the former V2.5 API was upgraded and current DeepSeek pricing should not be attached to this model page.

Simple summaryWeights remain available under the DeepSeek Model License. Historical API prices are obsolete because DeepSeek upgraded the API to newer models.

What stands out

  • Combined general and coding capabilities
  • Official open weights
  • Historical function calling and JSON support

Things to consider

  • Discontinued API generation
  • Large hardware requirements
  • Custom model license
Limitations

Important restrictions and trade-offs

  • Historical API behavior should not be confused with current DeepSeek models
  • Old prices are obsolete
  • Can still produce incorrect code or structured output
SimplifyAITools verdict

Our editorial take

A useful historical profile because V2.5 unified DeepSeek’s chat and coding lines, but new integrations should use current DeepSeek models.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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