---
title: "Claude Sonnet 5.5 — LLM-TEST.com"
url: /models/claude-sonnet-5-5/
canonical_url: https://llm-test.com/models/claude-sonnet-5-5/
language: en
type: model
summary: "The balanced workhorse of the Claude 5 family, tuned for everyday production use where speed, quality and cost all matter. A default choice for chat, coding assistance and high-volume apps."
last_updated: "2026-11-05"
---

# Claude Sonnet 5.5

_Anthropic · Balanced_

The balanced workhorse of the Claude 5 family, tuned for everyday production use where speed, quality and cost all matter. A default choice for chat, coding assistance and high-volume apps.

## At a glance

- Released: Sep 15, 2026
- Provider: Anthropic
- Context window: 1,000,000 tokens
- Max output: 64,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: June 2026
- API model ID: `claude-sonnet-5-5`
- License: Proprietary (API only)

## Pricing

- Standard: $2 input / $10 output per 1M tokens
- Batch: $1 input / $5 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.009 (standard)

## What's new vs Claude Sonnet 5 (April 2026)

- Faster responses at the same quality bar
- Improved coding and instruction following
- Better handling of mid-length context
- Not as deep on hard reasoning as Opus

## Best use cases

- **Production chat** — Handles high-volume assistant and support workloads cost-effectively.
- **Everyday coding** — Writes, reviews and refactors code with quick turnaround.
- **Content generation** — Drafts and edits text at scale with consistent quality.

## Strengths

- Strong price-performance balance
- Fast and capable
- Good coding ability
- Versatile

## Limitations

- Less depth than Opus on hard problems
- Not the cheapest option

## Where to get access

- Consumer app: Claude apps (web, macOS, Windows, iOS, Android) — https://claude.ai
- API: the Anthropic Console — https://console.anthropic.com
- Also available: Amazon Bedrock and Google Vertex AI
- Docs: https://docs.anthropic.com

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/