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Anthropic · premium

Is Claude Sonnet 5 good?

Claude Sonnet 5 places top-3 in 3 of 7 task areas we tested. It's strongest at ai strategy and weakest at content & brand. It's a premium option ($12/1M tokens).

Top-3 finishes
7/22
Task areas tested
$12.0
Per 1M tokens
Slow
Typical speed

Strengths

Clarity Specificity Correctness Practicality Constraint adherence Concision

Weak spots

Practical sequencing Food quality Timing accuracy

How Claude Sonnet 5 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
AI Strategy #1 of 92
Coding #1 of 55
Creative & Comedy #2 of 51
Data & Analytics #8 of 70
Chef / Home Cooking #17 of 92
Customer Support #25 of 53
Content & Brand #43 of 80

Industry benchmarks

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

Headline vs. real-world

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-07-01) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-07-01)

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Frequently asked

Is Claude Sonnet 5 any good?

Claude Sonnet 5 places top-3 in 3 of 7 task areas we benchmarked. It performs best at AI Strategy.

What is Claude Sonnet 5 best at?

Its strongest task areas are AI Strategy, Coding, Creative & Comedy.

Is there a cheaper alternative to Claude Sonnet 5?

Kimi K2.7 Code is 65% cheaper and stays competitive on quality across our benchmarks.

How we test & rank

Each model is scored on real tasks across 7 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