Llama 4 Maverick vs Qwen3 VL 8B Instruct
Llama 4 Maverick significantly outperforms across most benchmarks. Qwen3 VL 8B Instruct is 1.5x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Llama 4 Maverick outperforms in 3 benchmarks (MMLU, MMLU-Pro, MMMU-Pro), while Qwen3 VL 8B Instruct is better at 0 benchmarks. Llama 4 Maverick significantly outperforms across most benchmarks.
On price, Qwen3 VL 8B Instruct is roughly 1.5x 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 benchmark, pricing, and model metadata for 2026.
Choose Llama 4 Maverick
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
Choose Qwen3 VL 8B Instruct
- cost matters — it's about 1.5x cheaper per token
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 4 Maverick outperforms in 3 benchmarks (MMLU, MMLU-Pro, MMMU-Pro), while Qwen3 VL 8B Instruct is better at 0 benchmarks.
Llama 4 Maverick significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Maverick ($0.17/1M tokens) is 2.1x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 1.2x more expensive than Qwen3 VL 8B Instruct ($0.50/1M tokens).
In conclusion, Llama 4 Maverick is more expensive than Qwen3 VL 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 391.0B more parameters than Qwen3 VL 8B Instruct, making it 4344.4% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3 VL 8B Instruct's 131,072 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both Llama 4 Maverick and Qwen3 VL 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Maverick
Qwen3 VL 8B Instruct
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3 VL 8B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
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 Instruct was released on 2025-09-22.
Qwen3 VL 8B Instruct is 6 months newer than Llama 4 Maverick.
Apr 5, 2025
1.4 years ago
Sep 22, 2025
11 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.
Llama 4 Maverick
Qwen3 VL 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs Qwen3 VL 8B Instruct.