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Llama 4 Maverick vs Qwen3 VL 30B A3B Thinking

Llama 4 Maverick and Qwen3 VL 30B A3B Thinking are closely matched at 14.9 and 18.4 on the LLM Stats Score. Llama 4 Maverick is 1.4x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 4 Maverick and Qwen3 VL 30B A3B Thinking are closely matched on the overall LLM Stats Score at 14.9 and 18.4.

In the 4 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 4 Maverick is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Maverick also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 4 Maverick

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window

Choose Qwen3 VL 30B A3B Thinking

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
14.9
#216
18.4
#197
14.6
#214
19.6
#183
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.17 / M
$0.20 / M
Output price
$0.60 / M
$0.99 / M
Context window
1,000,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Llama 4 Maverick
Qwen3 VL 30B A3B Thinking
20.6#147
22.5#128
13.2#91
13.0#94
16.5#77
15.8#80
19.1#84
23.9#62
19.1#71
24.0#51
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 4 Maverick · 50 for Qwen3 VL 30B A3B Thinking

4 shared

Llama 4 Maverick outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMMU-Pro).

Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, Llama 4 Maverick ($0.17/1M tokens) is 1.2x cheaper than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Llama 4 Maverick ($0.60/1M tokens) is 1.7x cheaper than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Qwen3 VL 30B A3B Thinking is more expensive than Llama 4 Maverick.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Aug 31 2026 • llm-stats.com
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

369.0B diff

Llama 4 Maverick has 369.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 1190.3% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
400.0B
Llama 4 Maverick
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Maverick and Qwen3 VL 30B A3B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 4 Maverick

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 6 months newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.4 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

11 months ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M

Qwen3 VL 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 4 Maverick and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Llama 4 Maverick
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Llama 4 Maverick vs Qwen3 VL 30B A3B Thinking.

Which is better, Llama 4 Maverick or Qwen3 VL 30B A3B Thinking?

Llama 4 Maverick and Qwen3 VL 30B A3B Thinking are closely matched on the LLM Stats Score at 14.9 and 18.4. Llama 4 Maverick is made by Meta and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 4 Maverick compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is Llama 4 Maverick cheaper than Qwen3 VL 30B A3B Thinking?

Llama 4 Maverick is 1.2x cheaper for input tokens. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Llama 4 Maverick and Qwen3 VL 30B A3B Thinking?

Llama 4 Maverick supports 1.0M tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Maverick and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (14.9 vs 18.4), context window (1.0M vs 131K), input pricing ($0.17 vs $0.20/M), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and Qwen3 VL 30B A3B Thinking?

Llama 4 Maverick is developed by Meta and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.