Claude Sonnet 4.6

anthropic/claude-4.6-sonnet-20260217

Anthropic: Claude Sonnet 4.6 processes text, image, and file inputs and provides text outputs. It has a context length of 1,000,000 tokens and supports tools and reasoning. The model is not open-weight and costs $3 per million input tokens and $15 per million output tokens.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideranthropic
releasedAug 26, 2025
context1M
input / M$3

Specifications

What the API gives you

Context window
1M tokens
Max output
128K tokens
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Cache read
$0.30 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
—
Released
Aug 26, 2025

Measured evidence

Public benchmark record

Design Arena Coding
1276 Elo2026-10-21
Design Arena UI
1271 Elo2026-10-21
Design Arena Web-app Agent
1190 Elo2026-10-21
Design Arena Website
1286 Elo2026-10-21
FACTS Grounding
56.2%2026-10-21
GPQA Diamond (Epoch AI)‡
78.8% ± 2.92026-08-06max effort, evaluated 2026-08-06
GPQA Diamond (Epoch AI)‡
83.3% ± 2.72026-07-13high effort, evaluated 2026-07-13
GPQA Diamond (Epoch AI)
87.4% ± 22026-02-20evaluated 2026-02-20
LiveBench Coding
79.3%2026-10-18
LiveBench Language
76.1%2026-10-18
LiveBench Math
87.0%2026-10-18
LiveBench Reasoning
84.8%2026-10-18
LMArena Creative Writing
1435 Elo2026-10-20
LMArena Long Query
1479 Elo2026-10-20
LMArena Math
1462 Elo2026-10-20
LMArena Text
1472 Elo2026-10-20
LMArena Text Factuality
1461 Elo2026-10-20
LMArena Vision
1275 Elo2026-10-19
LMArena Vision Diagrams
1306 Elo2026-10-19
LMArena Vision OCR
1291 Elo2026-10-19
LMArena WebDev
1523 Elo2026-10-19
LMArena WebDev Image-to-Web
1529 Elo2026-10-19
OTIS Mock AIME (Epoch AI)‡
71.1% ± 6.82026-08-06max effort, evaluated 2026-08-06
OTIS Mock AIME (Epoch AI)‡
75.6% ± 6.52026-07-13high effort, evaluated 2026-07-13
OTIS Mock AIME (Epoch AI)
85.8% ± 4.52026-02-20evaluated 2026-02-20
SimpleQA Verified (Epoch AI)‡
32.8% ± 1.52026-08-27max effort, evaluated 2026-08-27
SimpleQA Verified (Epoch AI)‡
35.5% ± 1.52026-08-10high effort, evaluated 2026-08-10

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 Business 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 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.

  • 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.

Show all 39 tasks
  • 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.

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

  • Best LLM for Math & ReasoningEstablished evidence

    92% of intended weighted task evidence across 4 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationEstablished evidence

    85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for Competition MathEstablished evidence

    81% 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.

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

  • Best LLM for Grounded RAGEstablished evidence

    62% of intended weighted task evidence across 3 independent sources. 5 of 7 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.

  • 61% of intended weighted task evidence across 2 independent sources. 5 of 6 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 CodingEstablished evidence

    53% of intended weighted task evidence across 3 independent sources. 7 of 7 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 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 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 Agentic CodingEstablished evidence

    36% of intended weighted task evidence across 2 independent sources. 7 of 7 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.

  • 33% of intended weighted task evidence across 2 independent sources. 5 of 5 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.

  • 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 Autonomous AgentsProvisional evidence

    13% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or LMArena Agent Task Outcome. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsProvisional evidence

    9% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 9 of 9 configured evaluation feeds currently have results.

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.