by datastudy.nl

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

Head to head

Claude Sonnet 5.5 vs Atria Dawn Preview

How Claude Sonnet 5.5 and Atria Dawn Preview stack up across benchmarks, pricing, speed, and the workloads that matter.

Claude Sonnet 5.5

Anthropic · Proprietary

Blended price$2.89per 1M tokens
Context1Mtokens
Speed42tok/s
Benchmarks47results
VS

Atria Dawn Preview

Shanghai AI Laboratory · Open weights

Blended pricen/aper 1M tokens
Contextn/atokens
Speedn/atok/s
Benchmarks12results

On reasoning, Claude Sonnet 5.5 leads by about 9 points in our normalized benchmark average.

The table below breaks down every workload axis where both models have published results. Each score is a normalized 0 to 1 average across the benchmarks tagged with that category. A gap of a few points is noise; a gap of ten or more is a real difference in capability. Where one model has not reported a result, the cell shows n/a and the missing benchmark does not drag its average down.

Benchmark scores by workload

WorkloadClaude Sonnet 5.5Atria Dawn PreviewEdge
Reasoning 70% 61% +8.8 pts
Coding 70% 75% +5.2 pts
Agents & tool use 63% 68% +4.5 pts
Math 76% n/a n/a
Vision & multimodal 66% n/a n/a
Writing 60% n/a n/a
Knowledge & factuality 71% 53% +18.6 pts

The headline benchmarks below are the most widely cited individual tests. GPQA Diamond measures graduate-level reasoning in physics, chemistry, and biology. SWE-Bench Verified tests whether a model can fix real GitHub issues. MMMU-Pro covers college-level multimodal understanding across six disciplines. AIME and FrontierMath push competitive and research math. BrowseComp measures web research ability.

Headline benchmarks

BenchmarkClaude Sonnet 5.5Atria Dawn Preview
BrowseComp n/a 93%

Benchmarks tell you what a model can do in a controlled setting. They do not tell you whether it will work on your specific task, with your specific data, at your specific scale. The recommendations below map each common workload to whichever of these two models scores higher on the relevant axis. Use them as a starting point, not a final answer.

Which should you choose?

Hard reasoning

Multi-step analysis, research, and problems that need sustained thought.

Claude Sonnet 5.5

Coding & software

Writing, reviewing, and debugging code across a real codebase.

Atria Dawn Preview

Agents & tool use

Long-running agents that call tools, browse, and act on their own.

Atria Dawn Preview

Math & science

Formal math, competitive problems, and quantitative science.

Claude Sonnet 5.5

Vision & documents

Reading images, screenshots, charts, and dense documents.

Claude Sonnet 5.5

Writing & drafting

Copy, emails, and long-form drafting where tone matters.

Claude Sonnet 5.5

Scores are normalized from public benchmarks published by llm-stats.com and averaged per workload. Pricing is the blended input/output cost per million tokens at an 8:1 mix. Refreshes daily. How this works.