Claude 3.7 Sonnet for video: retired model and workflow
Quick answer
Claude 3.7 Sonnet was a writing and reasoning model, not a video generator. Anthropic retired claude-3-7-sonnet-20250219 on February 19, 2026; its current deprecation page recommends Claude Sonnet 5.5. Keep this page for the historical release, and use an active model for new scripts, shot lists and prompt drafts before sending the approved brief to a video generator. Partner-operated services have separate lifecycle schedules.
The retirement date and then-listed replacement were checked September 13, 2026. The current recommendation was rechecked October 10, 2026: Anthropic now lists claude-sonnet-5-5 as the replacement for Claude 3.7. Claude Sonnet 4.6 also remains active. Anthropic’s dates apply to its operated platforms, including the Claude API; Amazon Bedrock and Google Cloud publish separate model lifecycles.
A red ceramic mug sits on a wooden café table beside a window. Steam rises slowly while the camera makes a gentle push-in. Soft morning light, realistic materials, one continuous shot, no people or readable text.
Turn an approved script into video
Use one short scene or shot as the brief, generate a result, and review the output before building the full sequence.
Try AI Video GeneratorWhat Claude 3.7 Sonnet did in a video workflow
Anthropic announced Claude 3.7 Sonnet in February 2025 as a hybrid reasoning model. Its relevant video-production role was text work: interpreting a brief, drafting a script, breaking narration into scenes, producing shot lists, and refining prompts. It did not render video frames.
Useful input: audience, objective, duration, platform, facts, source material, visual constraints and required call to action.
Useful output: a script with sourced claims, a shot list with one purpose per shot, and generation prompts that separate subject, action, setting, camera and constraints.
Human review: factual accuracy, pacing, rights, brand fit, unsupported claims and whether every proposed shot is feasible.
A current replacement workflow
For a direct Claude API migration, consider claude-sonnet-5-5, the replacement currently named for Claude 3.7 in Anthropic’s model status and deprecation page. Do not silently swap a retired model ID in production; compare the new output format, instruction following, latency, cost and any structured-output assumptions in your own workflow. On a partner-operated service, check that provider’s model ID and retirement schedule first.
After approving the script and shot list, use an actual AI video generator for the visual output. The app or model may impose its own duration, aspect-ratio, reference-image, audio and safety constraints. Adapt each shot rather than asking a language model to promise capabilities the renderer does not provide.
Reusable prompt for a script and shot list
“Using only the supplied sources, write a [duration] video for [audience] that helps them [goal]. Open with the direct answer. For every claim, cite the supplied source or mark it NEEDS SOURCE. Return: narration, on-screen text, shot purpose, visual description, camera instruction, required source asset, and estimated seconds. Preserve these constraints: [list]. Do not claim you generated or tested footage.”
Then review the result with the AI video prompting guide and translate one approved shot at a time into the syntax and limits of the selected renderer.
Frequently asked questions
No. It can produce text, code, scripts, shot lists and prompts. A video model or editing system renders the visual output.
Anthropic lists claude-3-7-sonnet-20250219 as retired on its operated API platforms since February 19, 2026 and currently recommends claude-sonnet-5-5. Partner-operated services have separate schedules. Use the relevant provider’s current status page and validate the migration.
Yes, if it still calls the retired model ID on an affected platform. Preserve representative inputs and expected output shapes, migrate to an active model, and compare factual accuracy, formatting, latency and cost before releasing the change. Check the exact provider’s lifecycle rather than applying Anthropic’s dates to every endpoint.
No. It may improve planning or prompt drafting, but rendered quality also depends on the video model, source assets, settings and review process.
