Claude Opus 4.8

anthropic/claude-4.8-opus-20260528

Claude Opus 4.8, from Anthropic, accepts text, image, and file inputs and generates text output. It provides a context length of 1,000,000 tokens, costs $5 per million input tokens and $25 per million output tokens, and supports both tool usage and reasoning. The model is not open‑weight and was released on 2026‑05‑28.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideranthropic
releasedAug 26, 2025
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
Aug 26, 2025

Measured evidence

Public benchmark record

Design Arena Coding
1255 Elo2026-10-21
Design Arena UI
1257 Elo2026-10-21
Design Arena Web-app Agent
1233 Elo2026-10-21
Design Arena Website
1259 Elo2026-10-21
FACTS Grounding
69.7%2026-10-21
FrontierMath Tiers 1-3 (Epoch AI)‡
80% ± 2.42026-06-10max effort, evaluated 2026-06-10
GPQA Diamond (Epoch AI)‡
88.4% ± 2.32026-08-06low effort, evaluated 2026-08-06
GPQA Diamond (Epoch AI)‡
91% ± 1.92026-06-07max effort, evaluated 2026-06-07
LiveBench Coding
81.8%2026-10-18
LiveBench Language
79.7%2026-10-18
LiveBench Math
94.3%2026-10-18
LiveBench Reasoning
89.2%2026-10-18
LMArena Agent Bash Recovery‡
7.22026-10-08high effort
LMArena Creative Writing‡
1454 Elo2026-10-20high effort
LMArena Instruction Following‡
1476 Elo2026-10-20high effort
LMArena Long Query‡
1483 Elo2026-10-20high effort
LMArena Math‡
1486 Elo2026-10-20high effort
LMArena Search Factuality
1197 Elo2026-10-13
LMArena Text‡
1481 Elo2026-10-20high effort
LMArena Text Factuality‡
1470 Elo2026-10-20high effort
LMArena Vision‡
1286 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1319 Elo2026-10-19high effort
LMArena Vision OCR‡
1299 Elo2026-10-19high effort
LMArena WebDev‡
1556 Elo2026-10-19high effort
OTIS Mock AIME (Epoch AI)‡
97.8% ± 2.22026-08-06low effort, evaluated 2026-08-06
OTIS Mock AIME (Epoch AI)‡
98.3% ± 1.42026-06-07max effort, evaluated 2026-06-07
SimpleQA Verified (Epoch AI)‡
53% ± 1.62026-08-27max effort, evaluated 2026-08-27
tau2-bench (1.0.1)‡
39.7%2026-07-23max effort, evaluated 2026-07-23
Terminal-Bench (4.0)‡
23.6%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.

  • 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 44 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 Grounded RAGEstablished evidence

    81% of intended weighted task evidence across 3 independent sources. 5 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.

  • 72% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for Agentic CodingEstablished evidence

    70% of intended weighted task evidence across 4 independent sources. 7 of 7 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.

  • 64% 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. 2 of 3 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 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 Autonomous AgentsEstablished evidence

    45% of intended weighted task evidence across 2 independent sources. 6 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.

  • 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 AI AgentsEstablished evidence

    34% of intended weighted task evidence across 3 independent sources. 9 of 9 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.

  • 29% of intended weighted task evidence across 2 independent sources. 6 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.

  • 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 Hermes AgentProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 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.