CLAUDE LABJP
MODEL — Claude Fable 5.1 and Claude Mythos 5.1 landed on September 1. They are the same underlying model; only the strength of the safeguards differsPRICING — Per-token rates hold at $10/$50 per MTok. What changed is cache reads, cut 75% to $0.25 per MTokCOST — How much that saves depends on your workload: roughly 25% for typical use, up to about 45% for context-heavy agentic work. Worth measuring your own split before quoting a numberBENCH — Terminal-Bench-Science 0.1 climbs from 24.7% on Fable 5 to 52.6%. Anthropic also states a standard error of 3.5-4.5 points, which is worth remembering before reading small gaps as realSAFEGUARDS — Sharper cyber safeguards cut interventions in Claude Code sessions by roughly 60% on average. Finding vulnerabilities is now allowed; developing exploits still is notAPI — New API accounts created from today can no longer edit prior context while preserving Claude's thinking transcript. It is an anti-distillation measure, and existing accounts are unaffected for nowMODEL — Claude Fable 5.1 and Claude Mythos 5.1 landed on September 1. They are the same underlying model; only the strength of the safeguards differsPRICING — Per-token rates hold at $10/$50 per MTok. What changed is cache reads, cut 75% to $0.25 per MTokCOST — How much that saves depends on your workload: roughly 25% for typical use, up to about 45% for context-heavy agentic work. Worth measuring your own split before quoting a numberBENCH — Terminal-Bench-Science 0.1 climbs from 24.7% on Fable 5 to 52.6%. Anthropic also states a standard error of 3.5-4.5 points, which is worth remembering before reading small gaps as realSAFEGUARDS — Sharper cyber safeguards cut interventions in Claude Code sessions by roughly 60% on average. Finding vulnerabilities is now allowed; developing exploits still is notAPI — New API accounts created from today can no longer edit prior context while preserving Claude's thinking transcript. It is an anti-distillation measure, and existing accounts are unaffected for now
TAG

vision

10 articles
Back to all tags
Related:
Claude API5multimodal3Indie Dev2claude-api2pdf2Cost Design1Opus 4.71Classification1Evaluation1tool use1tool_result1token optimization1
API & SDK/2026-07-13Advanced

Full-Size or Downscaled? A Per-Image Resolution Rule for Opus 4.7's High-Resolution Vision

Opus 4.7 finally read the fine texture in my wallpapers, so I sent everything at full size. My weekly image tokens jumped 2.4x. Here is the preflight that decides resolution and model per image, with the measured savings.

API & SDK/2026-07-10Advanced

Don't Trust the Confidence Score: Per-Class Calibration and Abstain Routing for Vision Classification

Overall accuracy looked fine while individual categories quietly collapsed. Here is how I calibrated Claude Vision's self-reported confidence per class and routed abstentions to a human queue.

API & SDK/2026-06-29Advanced

Let Claude Actually See the Images Your Tools Return — Use Image Blocks in tool_result and Cut Tokens by Roughly 10x

Stuffing a base64 string into a tool_result makes the same image cost roughly 10–20x more tokens. Here is how to return it as an image content block instead, with SDK code, a token-cost estimate, and the gotchas I hit in production.

API & SDK/2026-06-13Advanced

Claude Vision API in Production — Implementation Patterns for Image Analysis, PDF Processing, and OCR

Implementation patterns for taking Claude's vision capabilities to production: choosing between Base64, URL, and the Files API, native PDF processing, schema-enforced extraction with Tool Use, batch cost reduction, and error recovery — all with working code.

API & SDK/2026-05-29Intermediate

Diagnosing invalid_request_error When You Pass an Image URL to the Claude API

When the Claude API rejects an image you passed via `source.type: url`, the root cause almost always lives in one of four buckets: scheme, MIME, size, or reachability. Here is the diagnostic order I use in production.

API & SDK/2026-05-15Intermediate

Automating Wallpaper Classification with Claude Vision API — Accuracy, Cost, and a Batch Job That Survives Interruptions

A firsthand account of automating wallpaper category classification with the Claude Vision API. Honest numbers on accuracy and cost, plus the batch design that stopped me re-paying for the same images.

Claude Code/2026-04-28Intermediate

Pasting Screenshots into Claude Code: A Practical Workflow for Fixing UI Bugs Fast

A field-tested workflow for handing screenshots and design comps to Claude Code from the terminal—covering the three input methods, prompt templates that actually work, and the gotchas that bit me in production.

API & SDK/2026-03-26Intermediate

Build a PDF Analysis and Summarization App with Claude API — Vision plus Extended Thinking

Learn how to build a PDF analysis and summarization application using Claude API's Vision capabilities and Extended Thinking, with step-by-step Python implementation.

API & SDK/2026-03-25Advanced

Claude API Real-time Multimodal Agent Architecture: Design Patterns & Implementation

Master building real-time multimodal agents combining Vision and Tool Use. Learn streaming pipelines, production error handling, and cost optimization patterns with TypeScript and Python examples.

API & SDK/2026-03-10Intermediate

Multimodal Input Guide — Working with Images and PDFs in the Claude API

How to send images and PDFs to the Claude API, when to reach for the Files API, and the cost and speed lessons you only learn by running it in production — with real measurements.