by datastudy.nl

Head-to-head comparisons of frontier AI models, rebuilt daily from public benchmark data

Anthropic

Claude Sonnet 5

Released Jun 2026. Proprietary, available through the provider's API.

Claude Sonnet 5 is built by Anthropic and has 22 benchmark results tracked in the public leaderboard. It supports multimodal input, with a context window of 1M tokens. At the blended 8:1 input-to-output rate, it costs $2.89 per million tokens and delivers about 9.4 tokens per second.

Blended price$2.89per 1M tokens (8:1)
Context1Mtokens
Output speed9.4tokens / sec
Benchmarks22results tracked

Where Claude Sonnet 5 ranks

The chart below ranks every model in the comparison by overall capability, which is the average of a model's scores across the eight workload axes. Claude Sonnet 5 is the red bar. This is the single number to check first: it tells you where the model sits in the current pecking order before you dig into the detail.

Bar chart ranking all ten models by overall capability index, with Claude Sonnet 5 highlighted in red.
Every model ranked by overall capability index (0 to 100), averaged across eight workload axes. Claude Sonnet 5 is the red bar. Data Today, from llm-stats.com public benchmarks.

Workload strengths

Each row below is the average normalized score across every benchmark tagged with that workload category. A higher number means the model performs better on that kind of task relative to the maximum possible score on those benchmarks. Categories where the model has no published results are shown as n/a.

WorkloadIndex (0–1)
Reasoning68%
Coding56%
Agents50%
Math70%
Vision67%
Long Contextn/a
Writingn/a
Knowledge74%

How Claude Sonnet 5 stacks up against every other model

Below is every head-to-head comparison involving Claude Sonnet 5. Each card shows the win/loss tally across all workload axes and headline benchmarks. Tap any matchup for the full breakdown with per-benchmark scores, pricing, and workload recommendations.


Choose a matchup above, or start from the hub to pick any two models.