Is Llama 4 Maverick better than Qwen3.7 Plus?

On accuracy they are statistically tied: Llama 4 Maverick scored 59.0% and Qwen3.7 Plus 60.0% on the same 78 questions from open datasets. Similar accuracy; Llama 4 Maverick costs less per question.

Which is cheaper, Llama 4 Maverick or Qwen3.7 Plus?

Llama 4 Maverick is cheaper: $0.00059 per question as billed, against $0.0033. List prices: Llama 4 Maverick $0.1875 in / $0.6525 out, Qwen3.7 Plus $0.32 in / $1.28 out per million tokens.

Which is faster, Llama 4 Maverick or Qwen3.7 Plus?

Qwen3.7 Plus is faster at 62 output tokens per second, against 13. Time to first token: 0.7 s for Llama 4 Maverick, 1.1 s for Qwen3.7 Plus.

Which has the larger context window, Llama 4 Maverick or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 524k.

Head to head · tested 27 Oct 2026

Llama 4 Maverick vs Qwen3.7 Plus: accuracy, speed and price

Similar accuracy; Llama 4 Maverick costs less per question.

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

QwenQwen3.7 Plus60.0% score · #38$0.0033 per question62 tok/s

Verdict

Built from the measurements below

Accuracy is too close to call: Llama 4 Maverick scored 59.0% and Qwen3.7 Plus 60.0% on the same 78 questions, a gap within what chance alone could produce.
Llama 4 Maverick is 5.5× cheaper per question as billed ($0.00059 vs $0.0033), reasoning tokens included.
Qwen3.7 Plus generates text 4.7× faster: 62 tokens per second against 13.
Llama 4 Maverick starts answering sooner: 0.7 s to the first token, against 1.1 s for Qwen3.7 Plus.
Qwen3.7 Plus 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 $0.0054), a quicker first token, shorter outputs (about 784 tokens per question against 2,462), open weights you can run yourself and more hosts to choose from on OpenRouter (3 against 1). Choose Qwen3.7 Plus for faster streaming and a 1M-token context window. The widest subject gap is in humanities & social science: Qwen3.7 Plus answered 9 of 9 correctly, Llama 4 Maverick 7 of 9. With so few questions per subject, treat this as a lead to test on your own prompts, not a result.

Accuracy gap -1.0 points (z = -0.13). 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	Qwen3.7 Plus	Edge
Verification scoreHigher is better	59.0%	60.0%	Too close to call
Cost per questionLower is better	$0.00059	$0.0033	Llama 4 Maverick
Output speedHigher is better	13	62	Qwen3.7 Plus
Time to first tokenLower is better	0.7 s	1.1 s	Llama 4 Maverick
End-to-end response timeLower is better	27.9 s	12.4 s	Qwen3.7 Plus
Tokens per questionLower is better	784	2,462	Llama 4 Maverick
Context windowHigher is better	524k	1M	Qwen3.7 Plus

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, Qwen3.7 Plus second

Verification scorehigher is better

Llama 4 Maverick59.0%

Qwen3.7 Plus60.0%

Cost per questionlower is better

Llama 4 Maverick$0.00059

Qwen3.7 Plus$0.0033

Output speedhigher is better

Llama 4 Maverick13

Qwen3.7 Plus62

Time to first tokenlower is better

Llama 4 Maverick0.7 s

Qwen3.7 Plus1.1 s

End-to-end response timelower is better

Llama 4 Maverick27.9 s

Qwen3.7 Plus12.4 s

Tokens per questionlower is better

Llama 4 Maverick784

Qwen3.7 Plus2,462

Context windowhigher is better

Llama 4 Maverick524k

Qwen3.7 Plus1M

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	Qwen3.7 Plus
Science	30	18/30	19/30
Engineering	15	6/14	4/15
Medicine	11	5/10	6/11
Economics	9	7/9	7/9
Law	6	3/6	3/6
Humanities & social science	9	7/9	9/9
SuperGPQA dataset	50	23/49	21/50
MMLU-Pro dataset	30	23/29	27/30

Specifications and pricing

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

Specification	Llama 4 Maverick	Qwen3.7 Plus
Creator	Meta	Qwen
Released	5 Apr 2025	3 Jun 2026
Weights	Open weights	—
Reasoning	No	Yes
Input	text, image	text, image
Output	text	text
Context window	524k tokens	1M tokens
Knowledge cutoff	31 Aug 2024	—
List price in / out per 1M	$0.1875 / $0.6525	$0.32 / $1.28
Blended price per 1M (3:1)	$0.30	$0.56
Cheapest host	DigitalOcean · $0.1875 / $0.6525	Alibaba · $0.32 / $1.28
Hosts on OpenRouter	3	1
Last tested	25 Oct 2026	27 Oct 2026

Compare any two models →

Llama 4 Maverick vs Qwen3.7 Plus: frequently asked questions

Is Llama 4 Maverick better than Qwen3.7 Plus?: On accuracy they are statistically tied: Llama 4 Maverick scored 59.0% and Qwen3.7 Plus 60.0% on the same 78 questions from open datasets. Similar accuracy; Llama 4 Maverick costs less per question.
Which is cheaper, Llama 4 Maverick or Qwen3.7 Plus?: Llama 4 Maverick is cheaper: $0.00059 per question as billed, against $0.0033. List prices: Llama 4 Maverick $0.1875 in / $0.6525 out, Qwen3.7 Plus $0.32 in / $1.28 out per million tokens.
Which is faster, Llama 4 Maverick or Qwen3.7 Plus?: Qwen3.7 Plus is faster at 62 output tokens per second, against 13. Time to first token: 0.7 s for Llama 4 Maverick, 1.1 s for Qwen3.7 Plus.
Which has the larger context window, Llama 4 Maverick or Qwen3.7 Plus?: Qwen3.7 Plus, with 1M tokens against 524k.