The two are evenly matched.DeepSeek-V4.1-Flash is better at coding; Muse Ember at agents.
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.
Coding and agents rest on a single test each.
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.
Muse Ember costs 60% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where DeepSeek-V4.1-Flash pulls ahead
No clear win on a test scored out of 100.
Where Muse Ember pulls ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+7.1points 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.
CodingDeepSeek-V4.1-Flash
- LMArena · WebDevDeepSeek-V4.1-Flash by 13 rating points16211608+13 rating
Other results4 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.
- CritPt v2 HardMuse Ember by 142539+14
- Terminal-Bench-Science 0.1Muse Ember by 7.112.920+7.1
- GDP (Surge AI)Muse Ember by 5.617.222.8+5.6
- HLE-Diamondtie25.325.1tie
Questions people ask
Which is better, DeepSeek-V4.1-Flash or Muse Ember?
DeepSeek-V4.1-Flash and Muse Ember each win one of the two areas where both have results. DeepSeek-V4.1-Flash wins coding; Muse Ember wins agents. Muse Ember costs 60% less.
Which is better for coding?
DeepSeek-V4.1-Flash. It wins the one coding test both models report.
Which is cheaper?
DeepSeek-V4.1-Flash costs $0.30 per million input tokens and $1.20 per million output tokens; Muse Ember costs $0.10 and $0.50. That makes Muse Ember about 60% cheaper for the same work.
How do you compare the two?
We use the 6 benchmark tests both models have published scores on. The verdict counts the 2 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 4 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.