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Anthropic · frontier

Is Claude Opus 4.8 good?

Claude Opus 4.8 places top-3 in 8 of 22 task areas we tested. It's strongest at data & analytics and weakest at rag, safety & grounding. It's a top-tier (premium) option ($30/1M tokens).

Top-3 finishes
22/22
Task areas tested
$30.0
Per 1M tokens
Slow
Typical speed

Our take

Anthropic: Claude Opus 4.8 is a frontier-tier model that we tested across 22 task areas. It performs best at Sales, and is weakest at Structured Output.

Strengths

Clarity Usefulness Concision Specificity Structure Grounding no fabrication

Weak spots

No wrapper text Visual design Appropriate caveats Minimal extraneous output

How Claude Opus 4.8 ranks, task by task

Rank is the position in each field; Rating is the absolute quality bar. A model can be rated "Excellent" yet sit mid-table when the whole field is strong — and vice-versa.

Task area Rank
Coding #1 of 52
Data & Analytics #1 of 69
Product & Project Management #1 of 44
Research & Competitive Analysis #1 of 44
Knowledge & Docs #2 of 94
Legal & HR #2 of 44
Sales #2 of 44
Training & Education #2 of 44
Chef / Home Cooking #4 of 50
Frontend & Landing Pages #14 of 93
Customer Support #7 of 43
Investor & Pitch #13 of 50
Presentations & Decks #13 of 44
AI Strategy #17 of 50
Creative & Comedy #16 of 44
Landing Pages #21 of 56
Executive Assistant #19 of 50
Content & Brand #21 of 50
Translation & Localization #19 of 44
Summarization & Meeting Notes #20 of 44
Structured Output #20 of 43
RAG, Safety & Grounding #17 of 35

Industry benchmarks

Standardized third-party scores, shown for context — these are independent of our real-task tests.

Artificial Analysis indices

55.7
Intelligence
74.3
Coding
47.2
Agentic

Design Arena — human preference (avg Elo 1281)

3d 1287 svg 1236 dataviz 1277 gamedev 1303 website 1282 asciiart 1298 uicomponent 1285 codecategories 1283

Headline vs. real-world

Claude Opus 4.8's real-world results broadly track its headline Intelligence Index.

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29)

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Frequently asked

Is Claude Opus 4.8 any good?

Claude Opus 4.8 places top-3 in 8 of 22 task areas we benchmarked. It performs best at Data & Analytics.

What is Claude Opus 4.8 best at?

Its strongest task areas are Data & Analytics, Product & Project Management, Research & Competitive Analysis.

Is there a cheaper alternative to Claude Opus 4.8?

Qwen3.7 Max is 83% cheaper and stays competitive on quality across our benchmarks.

How we test & rank

Each model is scored on real tasks across 22 task areas by an LLM judge with deterministic checks. "Percentile" is this model's standing within each area's field; the cross-area figures are rank-based so quality and Elo scores are never mixed.

This page is Spring Prompt, running

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s