Claude Sonnet 5.5
Newanthropic/claude-sonnet-5.5-20260928
Claude Sonnet 5.5 is a model from Anthropic that accepts text, image, and file inputs and generates text outputs. It has a context length of 1,000,000 tokens, supports tool use and reasoning, and is not open-weight. It was released on September 26, 2026.
- tool use
- structured outputs
- reasoning
At a glance
Specifications
What the API gives you
- Context window
- 1M tokens
- Max output
- 128K tokens
- Input price
- $2 / 1M tokens
- Output price
- $10 / 1M tokens
- Cache read
- $0.100 / 1M tokens
- Modalities
- text, image, file → text
- Knowledge cutoff
- —
- Released
- Sep 26, 2026
Measured evidence
Public benchmark record
- Design Arena Coding
- 1366 Elo2026-10-16
- Design Arena UI
- 1378 Elo2026-10-16
- Design Arena Website
- 1330 Elo2026-10-16
- FrontierMath Tiers 1-3 (Epoch AI)‡
- 88.8% ± 1.92026-09-29max effort, evaluated 2026-09-29
- GPQA Diamond (Epoch AI)‡
- 95.6% ± 1.42026-09-29max effort, evaluated 2026-09-29
- LiveBench Agentic Coding
- 56.3%2026-10-16
- LiveBench Coding
- 91.4%2026-10-16
- LiveBench Data Analysis
- 59.5%2026-10-16
- LiveBench Instruction Following
- 56.8%2026-10-16
- LiveBench Language
- 78.0%2026-10-16
- LiveBench Math
- 96.1%2026-10-16
- LiveBench Reasoning
- 91.6%2026-10-16
- LMArena Agent‡
- 12.52026-10-14max effort
- LMArena Agent Bash Recovery‡
- 152026-10-08max effort
- LMArena Agent Steerability‡
- 12.32026-10-14max effort
- LMArena Agent Task Outcome‡
- 202026-10-14max effort
- LMArena Agent Tool Hallucination‡
- 0.52026-10-14max effort
- LMArena Creative Writing
- 1467 Elo2026-10-15
- LMArena Instruction Following
- 1488 Elo2026-10-15
- LMArena Long Query
- 1494 Elo2026-10-15
- LMArena Math
- 1499 Elo2026-10-15
- LMArena Text
- 1475 Elo2026-10-15
- LMArena Text Factuality
- 1474 Elo2026-10-15
- LMArena Vision
- 1266 Elo2026-10-09
- LMArena Vision Diagrams
- 1320 Elo2026-10-09
- LMArena Vision OCR
- 1280 Elo2026-10-09
- LMArena WebDev
- 1774 Elo2026-10-13
- LMArena WebDev Image-to-Web
- 1740 Elo2026-10-09
- OTIS Mock AIME (Epoch AI)‡
- 100% ± 02026-09-29max effort, evaluated 2026-09-29
- SimpleQA Verified (Epoch AI)‡
- 46.5% ± 1.62026-09-29max effort, evaluated 2026-09-29
- Terminal-Bench (4.0)‡
- 61.8%2026-10-16Claude Code, max effort, evaluated 2026-10-06
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference. ‡ Submitted scaffold plus model result. Compare the harness and effort settings, not only the model name.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Competition MathEstablished evidence
100% of intended weighted task evidence across 4 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for Business WritingEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Logic & Problem SolvingEstablished evidence
100% of intended weighted task evidence across 3 independent sources. 5 of 5 configured evaluation feeds currently have results.
- Best LLM for Marketing CopyEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Chat & RoleplayEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Creative WritingEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
Show all 45 tasks
- Best LLM for Frontend & UIEstablished evidence
100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for WritingEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Roleplay & CharacterEstablished evidence
100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Math & ReasoningEstablished evidence
100% of intended weighted task evidence across 5 independent sources. 7 of 7 configured evaluation feeds currently have results.
- Best LLM for a General AssistantEstablished evidence
100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for Code CompletionEstablished evidence
79% of intended weighted task evidence across 2 independent sources. 3 of 3 configured evaluation feeds currently have results.
- Best LLM for Autonomous AgentsEstablished evidence
67% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for CodingEstablished evidence
64% of intended weighted task evidence across 4 independent sources. 7 of 7 configured evaluation feeds currently have results.
- Best Open-Weight LLM for Self-HostingEstablished evidence
64% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Image UnderstandingEstablished evidence
61% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Agentic CodingEstablished evidence
60% of intended weighted task evidence across 3 independent sources. 7 of 7 configured evaluation feeds currently have results.
- Best LLM for Fast SummariesEstablished evidence
58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Best Value LLMEstablished evidence
58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for AI AgentsEstablished evidence
50% of intended weighted task evidence across 3 independent sources. 9 of 9 configured evaluation feeds currently have results.
- Best LLM for Literary TranslationEstablished evidence
50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Everyday TranslationEstablished evidence
50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for TranslationEstablished evidence
50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Hermes AgentEstablished evidence
48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for OpenHandsEstablished evidence
48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for GooseEstablished evidence
48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for OpenClawEstablished evidence
48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best Local LLM for CodingEstablished evidence
47% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Document SummarizationEstablished evidence
40% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.
- Best LLM for SummarizationEstablished evidence
40% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.
- Best Cheap LLM for High VolumeEstablished evidence
40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Cheapest Capable LLMEstablished evidence
40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for JSON & Schema OutputEstablished evidence
35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Structured Data ExtractionEstablished evidence
35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Debugging & Code ReviewEstablished evidence
33% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.
- Best LLM for Grounded RAGEstablished evidence
29% of intended weighted task evidence across 2 independent sources. 5 of 7 configured evaluation feeds currently have results.
- Best LLM for OCR & DocumentsProvisional evidence
45% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results.
- Best LLM for Charts & DiagramsProvisional evidence
45% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results.
- Best LLM for Vision & DocumentsProvisional evidence
40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 4 of 6 configured evaluation feeds currently have results.
- Best LLM for Tool & Function CallingProvisional evidence
38% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Search. 6 of 7 configured evaluation feeds currently have results.
- Best LLM for Document ParsingProvisional evidence
37% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results. Official release evidence is also tracked provisionally.
- Best LLM for RAG & Long ContextProvisional evidence
22% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LMArena Document. 5 of 6 configured evaluation feeds currently have results.
- Best LLM for High-Volume ExtractionProvisional evidence
21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Route reliability or Structured-output eval. 1 of 3 configured evaluation feeds currently have results.
- Best LLM for Massive ContextProvisional evidence
20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LongBench v2. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Computer & Browser UseProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or OSWorld Verified. 3 of 3 configured evaluation feeds currently have results.
Official release evidence · provisional
What the launch material actually says
Verbatim claims from the model provider. These help on launch day but do not count as independent confirmation.
“Sonnet 5.5 scores 70.6% on Terminal-Bench 4.0, an agentic coding evaluation, compared to Sonnet 5's 10.3%.”
Anthropic · Introducing Claude Sonnet 5.5 \ Anthropic“It scores two points below Opus 5.5 on GDPval-AA, a test of real-world work across a variety of occupations.”
Anthropic · Introducing Claude Sonnet 5.5 \ Anthropic“In Epic's early testing, Claude Sonnet 5.5 cleared the same quality bar you'd expect from a higher-tier model, holding up on a system design audit and a data flow review.”
Anthropic · Introducing Claude Sonnet 5.5 \ Anthropic“Claude Sonnet 5.5 delivers frontier-level performance on CursorBench 4.0 at 55.5%, second only to Opus 5.5.”
Anthropic · Introducing Claude Sonnet 5.5 \ Anthropic
Recommendation coverage
Where this model appears
- #1Best LLM for Code Completion
- #1Best LLM for Debugging & Code Review
- #2Best LLM for Coding
- #2Best LLM for Autonomous Agents
- #2Best LLM for Frontend & UI
- #3Best LLM for OpenClaw
- #3Best LLM for Agentic Coding
- #3Best LLM for Goose
- #3Best LLM for OpenHands
- #3Best LLM for AI Agents
- #3Best LLM for Hermes Agent
- #5Best LLM for Math & Reasoning
- #6Best LLM for Tool & Function Calling
- #6Best LLM for Computer & Browser Use
- #6Best LLM for Competition Math
- #7Best LLM for Charts & Diagrams
- #8Best LLM for Vision & Documents
Compare head to head
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.