Model Comparison

Llama 4 Maverick vs Qwen3 VL 8B Thinking

Both models are evenly matched across the benchmarks. Llama 4 Maverick is 2.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 4 Maverick outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen3 VL 8B Thinking is better at 2 benchmarks (GPQA, MMMU-Pro).

Both models are evenly matched across the benchmarks.

Tue May 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, Llama 4 Maverick ($0.17/1M tokens) is 1.1x cheaper than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, Llama 4 Maverick ($0.60/1M tokens) is 3.5x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, Qwen3 VL 8B Thinking is more expensive than Llama 4 Maverick.*

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

Lowest available price from all providers

Tue May 19 2026 • llm-stats.com

Llama 4 Maverick

Input tokens$0.17

Output tokens$0.60

Best providerDeepinfra

Qwen3 VL 8B Thinking

Input tokens$0.18

Output tokens$2.09

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

391.0B diff

Llama 4 Maverick has 391.0B more parameters than Qwen3 VL 8B Thinking, making it 4344.4% larger.

Llama 4 Maverick

400.0Bparameters

Qwen3 VL 8B Thinking

9.0Bparameters

400.0B

Llama 4 Maverick

9.0B

Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3 VL 8B Thinking's 262,144 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 8B Thinking is limited to 262,144 tokens.

Llama 4 Maverick

Input1,000,000 tokens

Output1,000,000 tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Tue May 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Maverick and Qwen3 VL 8B 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 8B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3 VL 8B 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 8B 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 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 6 months newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.1 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

7 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 8B Thinking is available from DeepInfra.

Llama 4 Maverick

Deepinfra

Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M

Lambda

Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M

Groq

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Fireworks

Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M

Together

Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M

Sambanova

Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M

Qwen3 VL 8B Thinking

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Llama 4 Maverick

View details

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (69.9% vs 69.8%)

Higher MMMU-Pro score (60.4% vs 59.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 4 Maverick	Qwen3 VL 8B Thinking

FAQ

Common questions about Llama 4 Maverick vs Qwen3 VL 8B Thinking.

Which is better, Llama 4 Maverick or Qwen3 VL 8B Thinking?

Both models are evenly matched across the benchmarks. Llama 4 Maverick is made by Meta and Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Maverick compare to Qwen3 VL 8B 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 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is Llama 4 Maverick cheaper than Qwen3 VL 8B Thinking?

Llama 4 Maverick is 1.1x cheaper for input tokens. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for Llama 4 Maverick and Qwen3 VL 8B Thinking?

Llama 4 Maverick supports 1.0M tokens and Qwen3 VL 8B Thinking supports 262K 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 8B Thinking?

Key differences include context window (1.0M vs 262K), input pricing ($0.17 vs $0.18/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 8B Thinking?

Llama 4 Maverick is developed by Meta and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.