The two are evenly matched.Atria Dawn is better at agents; Claude Fable 5 at coding.
Scores updated · 6 tests both models report · How we compare
Where each one wins
Tests won in each of the two areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
Agents rests on a single test.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Claude Fable 5 pulls ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+20.4points ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+6.3points ahead
Where Atria Dawn pulls ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+5.1points ahead
Every test, side by side
All 6 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Fable 5
- SWE-bench ProClaude Fable 5 by 20.459.680+20.4
- Terminal-Bench 2.1Claude Fable 5 by 6.378.384.6+6.3
Other results3 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- τ³-Bench BankingAtria Dawn by 14.441.226.8+14.4
- DeepSearchQA (F1)Atria Dawn by 1.89694.2+1.8
- WideSearchtie81.981.2tie
Questions people ask
Which is better, Atria Dawn or Claude Fable 5?
Atria Dawn and Claude Fable 5 each win one of the two areas where both have results. Atria Dawn wins agents; Claude Fable 5 wins coding.
Which is better for coding?
Claude Fable 5. It wins 2 of the 2 coding tests both models report; Atria Dawn wins none.
How do you compare the two?
We use the 6 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 3 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.