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Claude Sonnet 5.5 - Anthropic's latest AI model

Author: AI小集 · Original source: AI工具集

What is Claude Sonnet 5.5

Claude Sonnet 5.5 is the second model in the Claude 5.5 series released by Anthropic, only 6 days after the flagshipClaude Opus 5.5 , it is a comprehensive upgrade of Claude Sonnet 5 , positioned as a complement and lower-cost alternative to Opus 5.5, suitable for everyday tasks with a clear scope. Claude Sonnet 5.5 scored 70.6% on Terminal-Bench 4.0, with most benchmarks approaching the flagship, and excels at everydaycoding, bug fixing, and knowledge work such as documents, PPTs, and spreadsheets.

Claude Sonnet 5.5

Claude Sonnet 5.5's main features

  • High-performance coding: Terminal-Bench 4.0 reaches 70.6%, supports multi-step professional command-line tasks, surpassing Opus 5.5.
  • Everyday knowledge work: Excels at tasks with clear boundaries, such as fixing bugs, writing documents, making slides and spreadsheets, and has design aesthetics.
  • Codebase understanding: Can quickly understand large codebases, and can stably process tens of thousands of lines of game architecture code over long periods.
  • Cost-effective operation: Unit price is on par with Sonnet 5, and the low/medium thinking levels can already surpass the previous generation's best results, with per-task cost about one-tenth of it.
  • Enterprise-grade agent applications: Can be embedded in scenarios such as Rovo Agent, Slackbot, and customer service systems, reducing decision errors and improving ticket and operational efficiency.
  • Vision and game understanding: Became the first Sonnet model to beat Pokémon Red using only screenshots, with significantly enhanced multimodal capabilities.
  • Security network protection: The first Sonnet equipped with cybersecurity guardrails, automatically falling back to Sonnet 5 for high-risk cybersecurity tasks.

Claude Sonnet 5.5's technical principles

  • Thinking level (Effort) adjustment mechanism: The model supports multiple thinking intensities: Low/Medium/High/Xhigh/Max, balancing cost, speed, and quality by controlling reasoning depth; low levels are suitable for high-frequency everyday tasks, while high levels are used for complex reviews and long-chain decisions, allowing the same model to cover multiple scenarios.
  • Parallel tool calling and batch processing: Sonnet 5.5 merges parallelizable tool calls into a single batch for execution, reducing serial waiting; measured tool calls decreased by about one-third and shell runs by nearly half, directly reducing latency and token consumption.
  • Sub-agent task decomposition: At high thinking levels, the model invokes Claude Code's code review Skill, splitting review work into a batch of sub-agents for parallel processing.
  • Cost-efficiency optimization architecture: Achieves "actual cost reduction" by reducing the number of tokens needed to complete tasks; official data shows most task costs can drop by up to another 30%, forming an efficiency curve of "completing more tasks on the same budget."
  • Security routing and model fallback: Built-in cybersecurity judgment layer automatically routes requests back to Sonnet 5 when high-risk security tasks are identified, isolating abuse risks while maintaining everyday development capabilities.

How to use Claude Sonnet 5.5

  • Choose an entry point: Use it directly on Claude's official website/App、Claude Code, Claude Platform; the API is also available on AWS, Google Cloud, and Microsoft Azure.
  • Switch models: In the chat interface or model selector, switch the model from Sonnet 5 to Sonnet 5.5(API model name is claude-sonnet-5-5）。
  • Set thinking level: Choose Low/Medium/High/Xhigh/Max levels based on task complexity; for everyday tasks, the default Medium is enough to save money and speed things up.
  • Coding scenario integration: Call it directly in tools like Claude Code and Cursor, letting it process tool calls in parallel batches to improve efficiency.
  • API calls: Developers call the interface via claude-sonnet-5-5 , priced at $2/M input and $10/M output tokens, with zero data retention supported.

Claude Sonnet 5.5's core advantages

  • Performance approaching the flagship: Terminal-Bench 4.0 reaches 70.6%, surpassing Opus 5.5's 66.4%, with mid-tier power directly chasing the top tier.
  • Extremely high cost-effectiveness: Unit price is only half of Opus 5.5, and per-task cost can be as low as one-tenth of the previous generation.
  • Significantly improved speed: More than 30% faster than Sonnet 5, consumes fewer tokens for the same work, and actual cost drops by up to another 30%.
  • More efficient tool calls: Parallel batch processing of tool calls, reducing tool calls by about one-third and shell runs by nearly half, with fewer steps and less chance of getting stuck.
  • Strong in both coding and knowledge work: Code changes can be merged directly, large codebases are understood quickly, and at the same time the quality of PPTs, documents, and spreadsheets approaches Opus level.
  • Enterprise-grade stability: Lowest tool call failure rate, still fast responses on long-running tasks, suitable for large-scale deployment in production environments.

Claude Sonnet 5.5's project address

  • Project official website：https://www.anthropic.com/claude-sonnet-5-5

Comparison of Claude Sonnet 5.5 with similar competitors

Comparison dimension Claude Sonnet 5.5 GPT-6 Sol
Product positioning The "mid-tier" of the Claude 5.5 series, focusing on the quality/cost ratio, taking on everyday tasks handed down from the flagship The "mid-to-high-end" tier of GPT-6 Astra capability trickle-down, focusing on the lowest "cost per unit of intelligence"
API pricing Input $2/M, output $10/M, cache read $0.2 Same: Input $2/M, output $10/M (50% lower than the previous generation), cache reads enjoy a 90% discount
Coding merge (FrontierCode) High level matches GPT-6 Sol's best resultcomparable, at about 1/5 the cost Matches Claude Fable 5.1 xhigh at lower cost
Computer use (OSWorld) 80.1%（OSWorld 2.1） 60.5%（OSWorld 2.0, ⚠️ different versions cannot be directly compared)
Reasoning effort adjustment Multiple effort levels (Low–Max); the low level alone can exceed the previous generation's best result, at about 1/10 the cost Multiple levels (low–xhigh),switching mid-way does not break the cache
Caching mechanism Standard cache pricing Explicit breakpoint control of the cache prefix + 90% read discount, with more obvious advantages for long tasks
Access points Claude App / Claude Code / API（claude-sonnet-5-5）/ AWS、GCP、Azure ChatGPT Work（Plus/Pro/Business/Edu）/ Codex / API（gpt-6-sol）
Security mechanism The first Sonnet with built-in cybersecurity guardrails, automatically falling back to Sonnet 5 for high-risk tasks Inherits Astra alignment technology, with metrics such as coding deception and review bypass outperforming the GPT-5.6 series

Claude Sonnet 5.5's application scenarios

  • Everyday coding and bug fixing: Handle well-scoped coding tasks in Claude Code and Cursor, with code changes that can be merged directly, fewer steps, and lower cost.
  • Large-scale codebase auditing: Quickly understand tens of thousands of lines of code, conduct system architecture design audits and data flow reviews.
  • Enterprise knowledge work: Batch-generate and iterate documents, slides, and spreadsheets, and output business review deliverables that are nearly ready to use according to templates.
  • Customer service and business process automation: Embed into systems such as Zendesk, Slack, and Atlassian Rovo, speeding up ticket handling by about 20% and reducing erroneous decisions.