Claude Opus 5

anthropic/claude-opus-5-20260723

Claude Opus 5 is a multimodal AI 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 a proprietary model released in July 2026.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideranthropic
releasedJul 24, 2026
context1M
input / M$5

Specifications

What the API gives you

Context window
1M tokens
Max output
128K tokens
Input price
$5 / 1M tokens
Output price
$25 / 1M tokens
Cache read
$0.50 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
—
Released
Jul 24, 2026

Measured evidence

Public benchmark record

Design Arena Coding
1323 Elo2026-10-23
Design Arena Full-stack Agent
1306 Elo2026-10-22
Design Arena UI
1346 Elo2026-10-23
Design Arena Web-app Agent
1266 Elo2026-10-23
Design Arena Website
1309 Elo2026-10-23
FrontierMath Tiers 1-3 (Epoch AI)‡
85.6% ± 2.12026-07-24max effort, evaluated 2026-07-24
GPQA Diamond (Epoch AI)‡
87.9% ± 2.32026-08-06low effort, evaluated 2026-08-06
GPQA Diamond (Epoch AI)‡
93.9% ± 1.52026-07-24max effort, evaluated 2026-07-24
LiveBench Agentic Coding
65.2%2026-10-18
LiveBench Coding
81.5%2026-10-18
LiveBench Data Analysis
74.5%2026-10-18
LiveBench Instruction Following
63.8%2026-10-18
LiveBench Language
88.7%2026-10-18
LiveBench Math
95.7%2026-10-18
LiveBench Reasoning
91.2%2026-10-18
LMArena Agent‡
8.12026-10-20max effort
LMArena Agent Bash Recovery‡
13.62026-10-08max effort
LMArena Agent Steerability‡
6.32026-10-20max effort
LMArena Agent Task Outcome‡
12.22026-10-20max effort
LMArena Agent Tool Hallucination‡
0.72026-10-20max effort
LMArena Creative Writing‡
1495 Elo2026-10-22max effort
LMArena Instruction Following‡
1518 Elo2026-10-22max effort
LMArena Long Query‡
1517 Elo2026-10-22max effort
LMArena Math‡
1533 Elo2026-10-22max effort
LMArena Search Factuality
1217 Elo2026-10-13
LMArena Text‡
1491 Elo2026-10-22max effort
LMArena Text Factuality‡
1489 Elo2026-10-22max effort
LMArena Vision‡
1288 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1329 Elo2026-10-19high effort
LMArena Vision OCR‡
1304 Elo2026-10-19high effort
LMArena WebDev‡
1690 Elo2026-10-22max effort
LMArena WebDev Image-to-Web‡
1662 Elo2026-10-19max effort
OSWorld Verified‡
44.3%2026-10-15max effort
OTIS Mock AIME (Epoch AI)‡
93.3% ± 3.82026-08-06low effort, evaluated 2026-08-06
OTIS Mock AIME (Epoch AI)‡
98.9% ± 1.12026-07-24max effort, evaluated 2026-07-24
SimpleQA Verified (Epoch AI)‡
59.9% ± 1.62026-08-10max effort, evaluated 2026-08-10
SWE-rebench (2026-05-15 to 2026-07-01)‡
63.4% ± 1.42026-10-23tools, tasks 2026-05-15 to 2026-07-01
tau2-bench (1.0.1)‡
48.7%2026-08-03max effort, evaluated 2026-08-03
Terminal-Bench (4.0)‡
51.8%2026-10-23Claude 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.

  • 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 Autonomous AgentsEstablished evidence

    100% of intended weighted task evidence across 5 independent sources. 6 of 6 configured evaluation feeds currently have results.

Show all 45 tasks
  • 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.

  • 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 Computer & Browser UseEstablished evidence

    89% of intended weighted task evidence across 2 independent sources. 3 of 3 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 AI AgentsEstablished evidence

    82% of intended weighted task evidence across 6 independent sources. 9 of 9 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 Tool & Function CallingEstablished evidence

    67% of intended weighted task evidence across 2 independent sources. 6 of 7 configured evaluation feeds currently have results.

  • Best LLM for Debugging & Code ReviewEstablished evidence

    67% of intended weighted task evidence across 3 independent sources. 5 of 5 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 Local LLM for CodingEstablished evidence

    62% of intended weighted task evidence across 3 independent sources. 4 of 4 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 Document SummarizationEstablished evidence

    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.

  • 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 Grounded RAGEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 5 of 7 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 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.

  • Best LLM for Vision & DocumentsProvisional evidence

    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. Official release evidence is also tracked provisionally.

  • Best LLM for RAG & Long ContextProvisional evidence

    50% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LongBench v2. 5 of 6 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.

  • 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.

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.