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AnthropicLanguage modelNew

Claude Sonnet 5.5

The workhorse: faster and cheaper than Opus, and it edges ahead on agentic coding.

Overall Intelligence

#9

of 56
3.5 pts behind #1

2

races led

8

weeks at #1

85.2

score

Released
Sep 28, 2026
3 wk ago
Context
1M
128K max output
Price
$2 / $10
per 1M in/out · $4.00 blended
Speed
142 tok/s
2.6s to first token
Modalities
text · image
outputs text
Weights
Closed
API and apps

The 30-second version

The workhorse of the Claude family. Sonnet 5.5 is fast, affordable and, unusually for a mid-tier model, it edges ahead of its bigger siblings on agentic coding benchmarks.

Key takeaways
  • 1Leads our agentic coding and terminal races in the current snapshot, at half Opus pricing.
  • 2Around 140 tokens per second: fast enough to feel interactive in an IDE.
  • 3The sensible default for most production coding agents and chat products.
  • 4Less strong than Opus on ambiguous, judgement-heavy problems and deep debugging.

What you need to know

Purpose

A high-throughput frontier model for the bulk of real work: coding agents, customer-facing assistants and pipelines that run thousands of times a day.

What Anthropic optimised for

Agentic coding performance per dollar and per second. Anthropic tuned Sonnet 5.5 heavily on tool use and terminal workflows, which is why it can beat Opus on those specific races.

Unique strengths

  • Best-in-class agentic coding for its price.
  • Excellent terminal and shell fluency.
  • Strong tool-use accuracy with low latency.
Insight
How it differs from rivals. Versus Opus 5.5: faster, cheaper and slightly better at structured agentic coding, but less reliable on open-ended reasoning. Versus GPT-6.1 Sol (same price): better at coding agents and terminal work; Sol is the stronger conversationalist and writer.

Where it ranks

Current snapshot · illustrative scores · click any race to watch it

CodingHard ReasoningMathScienceWriting & LanguageMultimodalTool Use & AgentsLong ContextTrust & FactualitySpeed & Cost

Sonnet 5.5Best on each axis

Overall Intelligence over time

#1 frontierSonnet 5.5Grok 4.7Muse Wonder
55.060.065.070.075.080.085.090.02025Apr ’25Jul ’25Oct ’252026Apr ’26Jul ’26Oct ’26

Best use cases

01

IDE and CLI coding agents

Implementing features, fixing tests and running commands with quick feedback loops.

02

Production assistants

Support bots and internal tools where speed and cost matter at scale.

03

Sub-agent for Opus

The executor in planner-executor setups where Opus plans and reviews.

Strengths

  • Agentic coding

    Leads the agentic coding race in our current snapshot.

  • Speed

    Roughly 50% faster than Opus 5.5.

  • Price/performance

    Among the best intelligence-per-dollar ratios in the frontier tier.

Weaknesses

  • Ambiguity

    More likely than Opus to take an underspecified request literally.

  • Hardest reasoning

    Several points behind the top tier on frontier reasoning races.

Prompts that play to its strengths

Test-driven feature

Add pagination to the `/api/orders` endpoint (cursor-based, page size up to 100). Write the tests first, run them to see them fail, implement, then run the full suite. Show me the final diff and test output.

Why it works: Tight feedback loops and concrete success criteria are where Sonnet shines.

Shell troubleshooting

Our Docker build fails in CI but not locally. Here is the CI log: <log>...</log>. Diagnose step by step, propose the fix, and give me the exact commands to verify it locally.

Why it works: Plays to its terminal and DevOps fluency.

When to choose it, and when not to

Pick something else when…

  • The request is vague and high-stakes: Opus 5.5 handles ambiguity better.
  • You need the cheapest possible tokens at scale: Haiku 5.5 or DeepSeek V4.1 Flash.

Update history

The distilled version first; open any release for the deeper breakdown.