Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Insights
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics
  • Insights

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
Anthropic: Claude Opus 4.8 · Evaluations · Kaino
Anthropic: Claude Opus 4.8 logo
model evaluation

Anthropic: Claude Opus 4.8

Anthropic

Claude Opus 4.8 is Anthropic’s generally available Opus-family model for complex reasoning and agentic coding, with Claude API model ID `claude-opus-4-8`.

modellead-sourceopenrouter-modelslarge-language-modelclaudeanthropicopusmultimodallong-contextsource:cdn.sanity.ioreasoningagentic-coding
85.4KAINO SCORERecommended
Evaluated Jun 13, 202613 reviews
Website Docs GitHub

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Coding & agentic95
  • Technical capability93
  • Multimodal & I/O89
  • Reasoning & knowledge88
  • Developer experience86
  • Adoption signal84
  • Pricing clarity82
  • Risk & evidence80
  • Speed & availability78
  • Cost effectiveness61

Kainotomic evaluation

Claude Opus 4.8 has strong official evidence for being Anthropic’s current generally available Opus-family flagship: documented API ID, 1M-token context on supported platforms, 128k max output, image/file inputs, and broad deployment through Claude Platform, AWS, Google Cloud, and Microsoft Foundry. These support high technical and developer-experience scores, though the catalog record should replace the PDF system card as the canonical website/documentation URL. Coding evidence is unusually strong but partly self-reported. Anthropic’s system card reports 88.6% on SWE-bench Verified, and BenchmarkList mirrors that result while marking provenance as self-reported. DeepSWE/DataCurve lists claude-opus-4.8[max] at 58%±2%, second on that leaderboard, with high average cost and long runtime. LiveCodeBench was checked but the official leaderboard did not list Claude Opus 4.8, so no LiveCodeBench score is credited. Pricing clarity is good from Anthropic and Artificial Analysis, but cost-effectiveness is only moderate: Opus-tier pricing remains expensive even with batch or third-party variants. Artificial Analysis reports useful speed/provider measurements, but not enough to make it a low-latency specialist. Public signal is solid from LMArena rankings and vote counts, plus Anthropic’s distribution footprint. Risk/evidence quality is good overall, with limitations from self-reported benchmark provenance, absent Terminal-Bench/Aider results, and some catalog-source metadata inconsistencies.

Strengths

  • Official Anthropic documentation supports model identity, API ID, availability, 1M-token context, 128k max output, and multimodal/file input capabilities.
  • Strong coding-agent evidence from SWE-bench Verified 88.6% and DeepSWE/DataCurve 58%±2% ranking second in the cited snapshot.
  • Broad commercial availability across Claude Platform, AWS, Google Cloud, and Microsoft Foundry.
  • Clear public pricing sources from Anthropic, supplemented by Artificial Analysis provider price/speed measurements.
  • Meaningful public preference signal from LMArena Text Arena rankings and vote counts.

Caveats

  • SWE-bench Verified result is reported by Anthropic and mirrored by BenchmarkList as self-reported, so it should not be treated as independently reproduced evidence.
  • LiveCodeBench was checked but does not list Claude Opus 4.8 in the cited official leaderboard.
  • Terminal-Bench/Aider evidence was not obtained; the supplied source only shows Anthropic GitHub and a fetch timeout note.
  • Artificial Analysis prices differ from the item’s Anthropic pricing description, likely due to mode/provider assumptions; use official Anthropic pricing for billing decisions.
  • Catalog metadata incorrectly uses the system-card PDF as website/documentation URL and treats some third-party discovery metadata ambiguously.