Is Llama 4 Maverick better than Muse Wonder?

Muse Wonder is more accurate: it answered 63 of 80 questions correctly (78.8%) against 46 of 78 (59.0%) for Llama 4 Maverick. Muse Wonder is more accurate; Llama 4 Maverick is cheaper.

Which is cheaper, Llama 4 Maverick or Muse Wonder?

Llama 4 Maverick is cheaper: $0.00059 per question as billed, against $0.021. List prices: Llama 4 Maverick $0.1875 in / $0.6525 out, Muse Wonder $4 in / $20 out per million tokens.

Which is faster, Llama 4 Maverick or Muse Wonder?

Muse Wonder is faster at 175 output tokens per second, against 13. Time to first token: 0.7 s for Llama 4 Maverick, 16.1 s for Muse Wonder.

Which has the larger context window, Llama 4 Maverick or Muse Wonder?

Muse Wonder, with 1M tokens against 524k.

Head to head · tested 27 Oct 2026

Llama 4 Maverick vs Muse Wonder: accuracy, speed and price

Muse Wonder is more accurate; Llama 4 Maverick is cheaper.

MetaLlama 4 Maverick59.0% score · #40$0.00059 per question13 tok/s

MetaMuse Wonder78.8% score · #7$0.021 per question175 tok/s

Verdict

Built from the measurements below

Muse Wonder is more accurate: 78.8% against 59.0% on the same 78 questions, a 19.8-point gap that is statistically significant.
Llama 4 Maverick is 37× cheaper per question as billed ($0.00059 vs $0.021), reasoning tokens included.
Muse Wonder generates text 13× faster: 175 tokens per second against 13.
Llama 4 Maverick starts answering sooner: 0.7 s to the first token, against 16.1 s for Muse Wonder.
Muse Wonder accepts more context: 1M tokens against 524k.

Which should you choose?

Choose Llama 4 Maverick for the lower cost per correct answer ($0.001 against $0.027), a quicker first token, open weights you can run yourself and more hosts to choose from on OpenRouter (3 against 1). Choose Muse Wonder for the most accurate answers of the two, faster streaming and a 1M-token context window. The widest subject gap is in engineering: Muse Wonder answered 11 of 15 correctly, Llama 4 Maverick 6 of 14. With so few questions per subject, treat this as a lead to test on your own prompts, not a result.

Accuracy gap -19.8 points (z = -2.69). A winner is called only when z is at least 1.96, the usual 95% threshold. Speed, latency and price need a 10% margin.

Head to head

Same questions, same prompt, same API

Measure	Llama 4 Maverick	Muse Wonder	Edge
Verification scoreHigher is better	59.0%	78.8%	Muse Wonder
Cost per questionLower is better	$0.00059	$0.021	Llama 4 Maverick
Output speedHigher is better	13	175	Muse Wonder
Time to first tokenLower is better	0.7 s	16.1 s	Llama 4 Maverick
End-to-end response timeLower is better	27.9 s	20.8 s	Muse Wonder
Tokens per questionLower is better	784	1,014	Llama 4 Maverick
Context windowHigher is better	524k	1M	Muse Wonder

Side by side

Bars are scaled to the larger of the two values. The winner on each measure is marked in bold.

Every measure

Llama 4 Maverick first, Muse Wonder second

Verification scorehigher is better

Llama 4 Maverick59.0%

Muse Wonder78.8%

Cost per questionlower is better

Llama 4 Maverick$0.00059

Muse Wonder$0.021

Output speedhigher is better

Llama 4 Maverick13

Muse Wonder175

Time to first tokenlower is better

Llama 4 Maverick0.7 s

Muse Wonder16.1 s

End-to-end response timelower is better

Llama 4 Maverick27.9 s

Muse Wonder20.8 s

Tokens per questionlower is better

Llama 4 Maverick784

Muse Wonder1,014

Context windowhigher is better

Llama 4 Maverick524k

Muse Wonder1M

Score vs. cost per question

Both models in color, every other model in grey

Results by subject and dataset

Questions answered correctly. Small samples: a gap of one or two questions is noise.

Subject	Questions	Llama 4 Maverick	Muse Wonder
Science	30	18/30	26/30
Engineering	15	6/14	11/15
Medicine	11	5/10	5/11
Economics	9	7/9	8/9
Law	6	3/6	4/6
Humanities & social science	9	7/9	9/9
SuperGPQA dataset	50	23/49	35/50
MMLU-Pro dataset	30	23/29	28/30

Specifications and pricing

From OpenRouter's catalogue, plus the leaderboard's test dates

Specification	Llama 4 Maverick	Muse Wonder
Creator	Meta	Meta
Released	5 Apr 2025	12 Oct 2026
Weights	Open weights	—
Reasoning	No	Yes
Input	text, image	text, image, video, file, audio
Output	text	text
Context window	524k tokens	1M tokens
Knowledge cutoff	31 Aug 2024	—
List price in / out per 1M	$0.1875 / $0.6525	$4 / $20
Blended price per 1M (3:1)	$0.30	$8.00
Cheapest host	DigitalOcean · $0.1875 / $0.6525	Meta · $4 / $20
Hosts on OpenRouter	3	1
Last tested	25 Oct 2026	27 Oct 2026

Compare any two models →

Llama 4 Maverick vs Muse Wonder: frequently asked questions

Is Llama 4 Maverick better than Muse Wonder?: Muse Wonder is more accurate: it answered 63 of 80 questions correctly (78.8%) against 46 of 78 (59.0%) for Llama 4 Maverick. Muse Wonder is more accurate; Llama 4 Maverick is cheaper.
Which is cheaper, Llama 4 Maverick or Muse Wonder?: Llama 4 Maverick is cheaper: $0.00059 per question as billed, against $0.021. List prices: Llama 4 Maverick $0.1875 in / $0.6525 out, Muse Wonder $4 in / $20 out per million tokens.
Which is faster, Llama 4 Maverick or Muse Wonder?: Muse Wonder is faster at 175 output tokens per second, against 13. Time to first token: 0.7 s for Llama 4 Maverick, 16.1 s for Muse Wonder.
Which has the larger context window, Llama 4 Maverick or Muse Wonder?: Muse Wonder, with 1M tokens against 524k.