DeepSeek-V4-Flash vs muse-wonder-1.0
Wins 0 of 4 areas
—
Wins 4 of 4 areas
Coding · Reasoning · Math · Following instructions
muse-wonder-1.0 is the stronger all-rounder.
Scores updated · 8 tests both models report · How we compare
Where each one wins
Tests won in each of the four 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.
Reasoning, math and following instructions 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.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where muse-wonder-1.0 pulls ahead
- Fixes real GitHub issues, working as an agentLiveBench · Agentic Coding+15.9points ahead
- Fresh competition math problemsLiveBench · Mathematics+9.7points ahead
- Follows detailed instructions exactlyLiveBench · Instruction Following+7.5points ahead
Where DeepSeek-V4-Flash pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 8 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Codingmuse-wonder-1.0
- LiveBench · Agentic Codingmuse-wonder-1.0 by 15.946.862.7+15.9
- LiveBench · Codingmuse-wonder-1.0 by 5.77580.7+5.7
Following instructionsmuse-wonder-1.0
- LiveBench · Instruction Followingmuse-wonder-1.0 by 7.565.573+7.5
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.
- HiL-Bench (Tools-allowed)muse-wonder-1.0 by 31.947.879.7+31.9
- livebench_languagemuse-wonder-1.0 by 3.779.282.9+3.7
- livebench_data_analysismuse-wonder-1.0 by 2.379.381.6+2.3
Questions people ask
Which is better, DeepSeek-V4-Flash or muse-wonder-1.0?
muse-wonder-1.0 wins all four areas where both have results: coding, reasoning, math and following instructions. DeepSeek-V4-Flash wins none.
Which is better for coding?
muse-wonder-1.0. It wins 2 of the 2 coding tests both models report; DeepSeek-V4-Flash wins none.
How do you compare the two?
We use the 8 benchmark tests both models have published scores on. The verdict counts the 5 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.