Claude Sonnet 5

anthropic/claude-sonnet-5-20260630

This model accepts text, image, and file inputs and generates text outputs. It has a context length of 1,000,000 tokens and supports tools and reasoning. The price is $2.00 per million input tokens and $10.00 per million output tokens. It is not an open-weight model.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideranthropic
releasedJun 29, 2026
context1M
input / M$2

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
$0.20 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
—
Released
Jun 29, 2026

Measured evidence

Public benchmark record

Design Arena Coding
1276 Elo2026-10-21
Design Arena UI
1279 Elo2026-10-21
Design Arena Web-app Agent
1245 Elo2026-10-21
Design Arena Website
1274 Elo2026-10-21
FrontierMath Tiers 1-3 (Epoch AI)‡
65.6% ± 2.82026-06-30max effort, evaluated 2026-06-30
GPQA Diamond (Epoch AI)‡
80.3% ± 2.82026-08-06max effort, evaluated 2026-08-06
GPQA Diamond (Epoch AI)‡
90.5% ± 1.82026-07-01xhigh effort, evaluated 2026-07-01
LiveBench Coding
80.7%2026-10-18
LiveBench Language
75.0%2026-10-18
LiveBench Math
92.9%2026-10-18
LiveBench Reasoning
88.7%2026-10-18
LMArena Agent‡
4.22026-10-20high effort
LMArena Agent Bash Recovery‡
7.42026-10-08high effort
LMArena Agent Steerability‡
6.12026-10-20high effort
LMArena Agent Task Outcome‡
02026-10-20high effort
LMArena Agent Tool Hallucination‡
0.42026-10-20high effort
LMArena Creative Writing‡
1416 Elo2026-10-20high effort
LMArena Instruction Following‡
1452 Elo2026-10-20high effort
LMArena Long Query‡
1462 Elo2026-10-20high effort
LMArena Math‡
1467 Elo2026-10-20high effort
LMArena Text‡
1461 Elo2026-10-20high effort
LMArena Text Factuality‡
1452 Elo2026-10-20high effort
LMArena Vision‡
1262 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1293 Elo2026-10-19high effort
LMArena Vision OCR‡
1281 Elo2026-10-19high effort
LMArena WebDev‡
1540 Elo2026-10-19high effort
LMArena WebDev Image-to-Web‡
1540 Elo2026-10-19high effort
OTIS Mock AIME (Epoch AI)‡
80% ± 62026-08-06max effort, evaluated 2026-08-06
OTIS Mock AIME (Epoch AI)‡
94.7% ± 2.32026-07-01xhigh effort, evaluated 2026-07-01
SimpleQA Verified (Epoch AI)‡
33.7% ± 1.52026-08-27max effort, evaluated 2026-08-27
SWE-rebench (2026-05-15 to 2026-07-01)‡
56.8% ± 0.92026-10-21tools, tasks 2026-05-15 to 2026-07-01
Terminal-Bench (4.0)‡
12.4%2026-10-21Claude Code, max effort, evaluated 2026-08-27

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 Agentic CodingEstablished evidence

    100% of intended weighted task evidence across 5 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 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.

Show all 45 tasks
  • 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.

  • 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.

  • 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.

  • 100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for Autonomous AgentsEstablished evidence

    94% of intended weighted task evidence across 4 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    82% of intended weighted task evidence across 5 independent sources. 7 of 7 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.

  • 67% of intended weighted task evidence across 3 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsEstablished evidence

    64% of intended weighted task evidence across 4 independent sources. 9 of 9 configured evaluation feeds currently have results.

  • 64% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best Local LLM for CodingEstablished evidence

    62% of intended weighted task evidence across 3 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 61% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • 60% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationEstablished evidence

    60% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for Hermes AgentEstablished evidence

    60% of intended weighted task evidence across 3 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsEstablished evidence

    60% of intended weighted task evidence across 3 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseEstablished evidence

    60% of intended weighted task evidence across 3 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawEstablished evidence

    60% of intended weighted task evidence across 3 independent sources. 4 of 4 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.

  • 50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 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 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.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 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

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Charts & DiagramsProvisional evidence

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • 60% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 4 of 6 configured evaluation feeds currently have results.

  • Best LLM for Document ParsingProvisional evidence

    58% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Massive ContextProvisional evidence

    47% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LongBench v2. 2 of 3 configured evaluation feeds currently have results.

  • 39% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LMArena Search. 5 of 6 configured evaluation feeds currently have results. Official release evidence is also tracked provisionally.

  • 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. Official release evidence is also tracked provisionally.

  • 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.

  • 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 is also tracked provisionally.

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.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.