Claude Opus 4.5

anthropic/claude-4.5-opus-20251124

Claude Opus 4.5, from Anthropic, accepts file, image, and text inputs and produces text output. It supports tool usage and reasoning, provides a context length of 200 000 tokens, and is priced at $5 per million input tokens and $25 per million output tokens. The model was released on 2025‑11‑24 and its weights are not open.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideranthropic
releasedNov 1, 2025
context200K
input / M$5

Specifications

What the API gives you

Context window
200K tokens
Max output
64K tokens
Input price
$5 / 1M tokens
Output price
$25 / 1M tokens
Cache read
$0.50 / 1M tokens
Modalities
file, image, text → text
Knowledge cutoff
—
Released
Nov 1, 2025

Measured evidence

Public benchmark record

BFCL
77.5%2026-10-21
Design Arena Coding
1242 Elo2026-10-21
Design Arena UI
1239 Elo2026-10-21
Design Arena Web-app Agent
1159 Elo2026-10-21
Design Arena Website
1248 Elo2026-10-21
FACTS Grounding
62.1%2025-09-03evaluated 2025-09-03
FrontierMath Tiers 1-3 (Epoch AI)
34.4% ± 2.82026-06-11evaluated 2026-06-11
GPQA Diamond (Epoch AI)
85.5% ± 2.22025-11-25evaluated 2025-11-25
GPQA Diamond (Epoch AI)
80.7% ± 2.42025-11-24evaluated 2025-11-24
LiveBench Coding
79.7%2026-10-18
LiveBench Language
81.3%2026-10-18
LiveBench Math
90.4%2026-10-18
LiveBench Reasoning
80.1%2026-10-18
LMArena Creative Writing
1445 Elo2026-10-20
LMArena Long Query
1478 Elo2026-10-20
LMArena Math
1463 Elo2026-10-20
LMArena Text
1474 Elo2026-10-20
LMArena Text Factuality
1459 Elo2026-10-20
LMArena WebDev
1494 Elo2026-10-19
OTIS Mock AIME (Epoch AI)
48.1% ± 6.42025-11-24evaluated 2025-11-24
SimpleQA Verified (Epoch AI)
45.7% ± 1.62026-08-27evaluated 2026-08-27
SWE-bench Verified (verified-500)‡
76.8%2026-10-21mini-SWE-agent 2.0.0, high effort, evaluated 2026-02-17
tau2-bench (1.0.1)‡
24.7%2026-05-05high effort, evaluated 2026-05-05

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.

  • 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 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 Frontend & UIEstablished evidence

    91% of intended weighted task evidence across 3 independent sources. 6 of 6 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 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. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    60% of intended weighted task evidence across 4 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.

  • 53% of intended weighted task evidence across 3 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 53% of intended weighted task evidence across 3 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.

  • 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.

  • 46% of intended weighted task evidence across 2 independent sources. 6 of 7 configured evaluation feeds currently have results.

  • 44% of intended weighted task evidence across 3 independent sources. 5 of 5 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 AI AgentsEstablished evidence

    36% of intended weighted task evidence across 3 independent sources. 9 of 9 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.

  • 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 Hermes AgentProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 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 Document ParsingProvisional evidence

    21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Vision or LMArena Vision OCR. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for OCR & DocumentsProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Vision or LMArena Vision OCR. 3 of 5 configured evaluation feeds currently have results.

  • 20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Vision or LMArena Vision Diagrams. 4 of 6 configured evaluation feeds currently have results.

  • Best LLM for Charts & DiagramsProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Vision or LMArena Vision Diagrams. 3 of 5 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.

  • 11% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or OSWorld Verified. 3 of 3 configured evaluation feeds currently have results.

  • 11% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Vision or VLMEvalKit tasks. 2 of 3 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.