DeepSeek · DeepSeek

Who can use it: Available to developers as an open-source Rust/Python package.

How to use it: Upgrade to deepseek-recipe 0.2.0; use ConversionOptions.model_versions_by_name or with_model_alias for custom model names.

Tip: When migrating from 0.1, check the changed APIs for ConversationRequest and stream generators.

Who can use it: DeepSeek web/app and compatible agent environments using the model.

How to use it: Specify the complete project goal, tools to use, and delivery criteria in a single prompt, and run it in an agent environment with file access.

Tip: Clearly define the working directory, dependency rules, and test commands before generating code and assets.

Who can use it: Developers with access to Hugging Face or ModelScope; local execution requires suitable hardware and inference infrastructure.

How to use it: Load the deepseek-ai/DeepSeek-V4.1-Flash-1017 model from Hugging Face with Transformers, vLLM, or SGLang.

Tip: Factor the model card’s approximately 763B parameters and 1M context requirements into your hardware plan.

Who can use it: Available via API through deepseek-flash and in the official web/app models.

How to use it: Run deepseek-flash calls without changing the model name; use an up-to-date agent environment for tool-based coding.

Tip: For long agent tasks, measure output length and total task duration to compare costs with the previous version.

Who can use it: DeepSeek web and app users; accounts using deepseek-flash via API.

How to use it: Keep the model name as deepseek-flash in the API; no additional settings are needed on the app or web.

Tip: To track behavioral changes in results, compare important prompts again with outputs from before 1017.

Who can use it: Available to developers with a DeepSeek API key and sufficient balance.

How to use it: Call POST https://api.deepseek.com/v1/tools/fetch with a Bearer key and provide an HTTP/HTTPS url field in the JSON body.

Tip: Set up a small test workflow first, keeping in mind that failed calls or calls that produce no content are not charged.

Who can use it: Available to developers with a DeepSeek API key and sufficient balance.

How to use it: Call POST https://api.deepseek.com/v1/tools/search with a Bearer key; query is required, count can be 1–50, and need_content is optional.

Tip: Use the site:, lang:, after:, and before: query operators to improve source quality.

Who can use it: All developer accounts with an API balance; calls within tools are free until October 31, 2026 at 16:00 UTC.

How to use it: Call the separate Search or Fetch endpoint; requests that return a 200 status code and actual results are deducted from the balance.

Tip: Increasing the Search count does not change the price; cache results yourself to avoid unnecessary repeat calls.

Who can use it: Developers using these agent and coding tools; the tools’ own access requirements apply.

How to use it: Upgrade DeepSeek Harness to 0.2.1-rc.1 or later and select the deepseek-flash model; use the DeepSeek API connection in CodeBuddy/WorkBuddy.

Tip: When comparing different agent environments on the same repository, keep tool permissions and the context window fixed.

Who can use it: Users of DeepSeek Harness, Claude Code, or Codex who use the DeepSeek API; the free period lasts until October 31, 2026, at 16:00 UTC.

How to use it: Configure a supported agent tool with a DeepSeek API key and enable server-side web search.

Tip: Measure production traffic before November 1 and budget for Search and Fetch costs under the new pricing.

Who can use it: Applies to all accounts using the Search and Fetch APIs.

How to use it: Queue requests below 100 QPS for Search and 25 QPS for Fetch; wait and retry on HTTP 429 responses.

Tip: Remember that multi-agent traffic shares the account-level quota; implement client-side backoff and retries.

Who can use it: European users with a GreenPT account; the provider’s EU hosting and pricing terms apply.

How to use it: In the GreenPT API, set the base URL to https://api.greenpt.ai/v1 and send the model name as deepseek-v4.1-flash.

Tip: Before enterprise use, confirm the data processing location, retention policy, and image/long-context behavior with the provider.

Who can use it: Developers with Hugging Face access; local or compatible hosted use under the MIT license.

How to use it: Pull the deepseek-ai/DeepSeek-V4.1-Flash model from Hugging Face and follow the model card’s Transformers, vLLM, or SGLang instructions.

Tip: Given the model’s substantial hardware requirements, prototype with the provider API first, then calculate the cost of local deployment.

Who can use it: Available through the DeepSeek API, official web/app channels, and open-weight distribution.

How to use it: Use deepseek-flash as the model name in the API; for local deployment, follow the inference instructions on the Hugging Face model card.

Tip: For long agent tasks, measure lower active parameter usage and total task duration against previous V4 models.

Who can use it: DeepSeek API users; the continuation of V4 Pro service was announced in the official changelog.

How to use it: Continue using model=deepseek-v4-pro in the API; check the Models & Pricing page for current pricing and version information.

Tip: Compare V4 Pro and V4.1-Flash outputs on the same task set to reassess the quality-cost trade-off.

Who can use it: Old model names work through a temporary compatibility route; use deepseek-flash for new integrations.

How to use it: Replace old model names in your code with deepseek-flash; during the transition, log which version the old names route to.

Tip: Don’t rely on old names permanently; update the model name explicitly to reduce behavioral differences after retirement.

Who can use it: Developers using the open-weight model or the V4.1-Flash route in the DeepSeek API; actual limits may vary by provider and client.

How to use it: Use the model card’s 1M context_window value as a guide to send long documents in one request or in controlled sections.

Tip: Control input costs with relevance ranking and caching instead of filling the 1M context completely.

Who can use it: Accounts using deepseek-flash in the DeepSeek API; V4.1-Flash image input support applies.

How to use it: Use model=deepseek-flash in a Chat Completions request and add text and image_url blocks to the user content.

Tip: When testing image and text prompts together, separately record image size, OCR quality, and token budget.

Who can use it: DeepSeek API users; peak/off-peak hours and current rates are listed on the Models & Pricing page.

How to use it: Schedule flexible and batch jobs for weekends or off-peak hours; use the current API pricing table to check prices.

Tip: Build a real-cost dashboard based on cache hits, input/output tokens, and the UTC time zone.

Who can use it: Part of the model architecture in DeepSeek API and V4.1-Flash open-weight/inference deployments.

How to use it: Use deepseek-flash in the API; in your own deployment, enable KV cache support in a V4.1-Flash-compatible inference engine.

Tip: Keep repeated system prompts and tool definitions fixed, and separately monitor the cache hit rate.

Who can use it: Especially in open-weight and compatible inference/agent environments; the API interface may also offer named low/high/max options.

How to use it: In a local or compatible inference layer, set reasoning_effort to a value from 1–100 based on task difficulty.

Tip: Use A/B testing to select low effort for simple classification and high effort for coding and tool-using tasks.

Who can use it: DeepSeek API customers using the relevant third-party coding/agent tools.

How to use it: Select the DeepSeek provider in your tool, enter your API key, and use deepseek-flash as the model.

Tip: Before production, verify each tool’s support for the Responses API, image input, and tool calls separately.