Model Comparison

Llama 3.2 90B Instruct vs Qwen3 VL 8B Instruct

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks. Qwen3 VL 8B Instruct is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.2 90B Instruct outperforms in 2 benchmarks (AI2D, MMLU), while Qwen3 VL 8B Instruct is better at 1 benchmark (MMMU-Pro).

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Instruct costs less

For input processing, Llama 3.2 90B Instruct ($0.35/1M tokens) is 4.4x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 1.3x cheaper than Qwen3 VL 8B Instruct ($0.50/1M tokens).

In conclusion, Llama 3.2 90B Instruct is more expensive than Qwen3 VL 8B Instruct.*

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

Lowest available price from all providers

Fri May 15 2026 • llm-stats.com

Llama 3.2 90B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

Qwen3 VL 8B Instruct

Input tokens$0.08

Output tokens$0.50

Best providerNovita

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Model Size

Parameter count comparison

81.0B diff

Llama 3.2 90B Instruct has 81.0B more parameters than Qwen3 VL 8B Instruct, making it 900.0% larger.

Llama 3.2 90B Instruct

90.0Bparameters

Qwen3 VL 8B Instruct

9.0Bparameters

90.0B

Llama 3.2 90B Instruct

9.0B

Qwen3 VL 8B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 8B Instruct accepts 131,072 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Llama 3.2 90B Instruct can generate longer responses up to 128,000 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.

Llama 3.2 90B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 8B Instruct

Input131,072 tokens

Output32,768 tokens

Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 90B Instruct and Qwen3 VL 8B Instruct support multimodal inputs.

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

Llama 3.2 90B Instruct

Text

Images

Audio

Video

Qwen3 VL 8B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, 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 3.2 90B Instruct

Llama 3.2

Open weights

Qwen3 VL 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen3 VL 8B Instruct was released on 2025-09-22.

Qwen3 VL 8B Instruct is 12 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

Qwen3 VL 8B Instruct

Sep 22, 2025

7 months ago

12mo 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 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.

Llama 3.2 90B Instruct

Deepinfra

Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M

AWS Bedrock

Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

Hyperbolic

Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Qwen3 VL 8B Instruct

Novita

Input Price:Input: $0.08/1MOutput Price:Output: $0.50/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.69/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Llama 3.2 90B Instruct

View details

Qwen3 VL 8B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Less expensive input tokens

Higher MMMU-Pro score (55.9% vs 45.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.2 90B Instruct	Qwen3 VL 8B Instruct

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen3 VL 8B Instruct.

Which is better, Llama 3.2 90B Instruct or Qwen3 VL 8B Instruct?

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks. Llama 3.2 90B Instruct is made by Meta and Qwen3 VL 8B Instruct 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 3.2 90B Instruct compare to Qwen3 VL 8B Instruct in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Qwen3 VL 8B Instruct scores DocVQAtest: 96.1%, ScreenSpot: 94.4%, OCRBench: 89.6%, AI2D: 85.7%, MMBench-V1.1: 85.0%.

Is Llama 3.2 90B Instruct cheaper than Qwen3 VL 8B Instruct?

Qwen3 VL 8B Instruct is 4.4x cheaper for input tokens. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra. Qwen3 VL 8B Instruct costs $0.08/M input and $0.50/M output via novita.

What are the context window sizes for Llama 3.2 90B Instruct and Qwen3 VL 8B Instruct?

Llama 3.2 90B Instruct supports 128K tokens and Qwen3 VL 8B Instruct 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 3.2 90B Instruct and Qwen3 VL 8B Instruct?

Key differences include context window (128K vs 131K), input pricing ($0.35 vs $0.08/M), licensing (Llama 3.2 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 90B Instruct and Qwen3 VL 8B Instruct?

Llama 3.2 90B Instruct is developed by Meta and Qwen3 VL 8B Instruct is developed by Alibaba Cloud / Qwen Team.