Claude 3.5 Sonnet (v2)
Frontier-class workhorse model combining high-speed code generation, computer use, and visual reasoning.
200k
Tokens
8.192k
Output limit
Dense Transformer
Model family
Not Disclosed
Total / Active
$3.00
Per 1M tokens
$15.00
Per 1M tokens
Model Overview
Claude 3.5 Sonnet delivers industry-leading performance across coding, visual analysis, and multi-step reasoning with rapid inference speed. Features native support for Computer Use (API-driven UI automation), tool calling, and prompt caching.
Developer Implementation Notes
Supports Computer Use API beta. Prompt caching reduces cached input cost to $0.30 per million tokens.
Key Strengths
- Industry standard for rapid code generation and refactoring
- Exceptional visual chart, diagram, and OCR understanding
- Computer Use API for desktop automation
- Economical prompt caching ($0.30/MTok)
Limitations & Boundaries
- 8,192 token output limit compared to 3.7 Sonnet's 128k
- Lacks native extended chain-of-thought token budgeting
Capabilities & Modalities
Best Production Use Cases
- Everyday software development & IDE integration
- Document parsing & complex visual extraction
- Web and desktop UI automated interaction
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
89.2%
AST accuracy across single and multi-turn tool calling
Pricing & Inference Cost Calculator
Token Cost Estimator – Claude 3.5 Sonnet (v2)
Calculate projected inference spend with prompt caching
Quick Workload Presets
$6.0000
2.00M input tokens
$7.5000
0.50M output tokens
$13.50
Avg: $0.01350 / req
Compare with Similar Models
Claude 3.7 Sonnet
Anthropic's first hybrid reasoning frontier model with dynamic thinking budget control and state-of-the-art coding capabilities.
Gemini 2.0 Pro (Experimental)
Google's flagship intelligence model engineered for complex coding, mathematical proofs, and 2M token context.
OpenAI o3-mini
Next-generation cost-efficient reasoning model optimized for STEM, competitive math, and coding.
Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.