Anthropic
Claude Sonnet 5.5
claude-sonnet-5.5
Total Context
1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
Claude Sonnet 4.6
claude-sonnet-4.6Claude Sonnet 4.6 is presented as a broad upgrade for coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Anthropic materials describe it as a strong middle tier with 1M-context beta support and better agent behavior. It is suited to teams that want near-frontier capability with more practical cost and latency than Opus.
Context Window
1M tokens
Maximum Output
64K tokens
Release Date
Feb 17, 2026
Modalities
Claude Sonnet 4.6 Pricing
| Input Price | Output Price | Cache Read | Cache Create 5m |
|---|---|---|---|
| $3/M | $15/M | $0.3/M | $3.75/M |
Claude Sonnet 4.6 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2025-08-31
Endpoint Protocols
Completions APIMessages API
Claude Sonnet 4.6 Model Highlights
Claude Sonnet 4.6 combines capable coding, long-context reasoning, computer use and design-oriented generation for balanced production workloads.
Capable Software Engineering
Handles complex fixes, searches large codebases and follows implementation instructions consistently.
Million-Token Context
Accepts up to one million input tokens, supporting analysis across extensive repositories and document collections.
Visual Computer Understanding
Interprets interfaces, documents and changing screen states for computer-based tasks and visual creation.
Claude Sonnet 4.6 Use Cases
Claude Sonnet 4.6 is suited to repository-scale fixes, enterprise document analysis and polished interface development.
Repository Code Fixes
Search a large repository for relevant code, diagnose a defect and implement coordinated, tested changes.
Enterprise Document Analysis
Read large collections of PDFs, charts and tables, extract relevant facts and produce a structured conclusion.
Frontend Interface Development
Turn product requirements and visual references into functional interfaces with considered layouts and interactions.
How to Use Claude Sonnet 4.6 via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Claude Sonnet 4.6 Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 35.9 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 46.4 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 79.9% |
| HLE | Broad expert-level exam set | 13.2% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 46.9% |
| Terminal-Bench Hard | Hard terminal task execution | 46.2% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 41.2% |
| AA-LCR | Long-context reasoning | 57.7% |
| τ²-Bench | Agent workflow tasks | 79.5% |
Metrics sourced from Artificial Analysis
Claude Sonnet 4.6 Comparisons
Frequently asked questions about Claude Sonnet 4.6
Understand what Claude Sonnet 4.6 is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
How should developers understand the role of Claude Sonnet 4.6?+
Claude Sonnet 4.6 is Anthropic’s current Sonnet model, balancing frontier-level coding and agent skills with lower cost than Opus. It is a current public model in its provider’s documentation, though availability can vary by platform.
When does Claude Sonnet 4.6 deliver the most practical value?+
Best-fit scenarios include agentic coding and repository work, computer-use and interface automation, and knowledge work across business documents. Test representative inputs and define measurable acceptance criteria before production.
What are the most useful characteristics of Claude Sonnet 4.6?+
Key strengths include a strong balance of quality, speed, and cost, strong coding performance, and effective use of tools and function calls. This combination is especially useful for computer-use and interface automation.
What are the practical limits of Claude Sonnet 4.6?+
Consider another model when the task needs the strongest Opus-level capability, the workflow cannot include human review for important decisions, or a smaller Haiku model meets the quality requirement at lower cost. Run generated code through tests, security checks, and human review before merging or deployment.
How should developers call Claude Sonnet 4.6 through TokenHub?+
In TokenHub, select the exact model identifier displayed for Claude Sonnet 4.6, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the TokenHub model page for the available Claude features, context limits, tool support, and current model status for your account.
Ready to use Claude Sonnet 4.6?
Use one API key to access Claude Sonnet 4.6 and more AI models through TokenHub.
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