Model Comparison

Llama 3.2 90B Instruct vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 90B Instruct is 3.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.2 90B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 235B A22B Thinking is better at 2 benchmarks (MMLU, MMMU-Pro).

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 90B Instruct costs less

For input processing, Llama 3.2 90B Instruct ($0.35/1M tokens) is 1.3x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 8.7x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than Llama 3.2 90B Instruct.*

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

Llama 3.2 90B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

Qwen3 VL 235B A22B Thinking

Input tokens$0.45

Output tokens$3.49

Best providerDeepinfra

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Model Size

Parameter count comparison

146.0B diff

Qwen3 VL 235B A22B Thinking has 146.0B more parameters than Llama 3.2 90B Instruct, making it 162.2% larger.

Llama 3.2 90B Instruct

90.0Bparameters

Qwen3 VL 235B A22B Thinking

236.0Bparameters

90.0B

Llama 3.2 90B Instruct

236.0B

Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Llama 3.2 90B Instruct is limited to 128,000 tokens.

Llama 3.2 90B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 235B A22B Thinking

Input262,144 tokens

Output262,144 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 90B Instruct and Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking

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 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 12 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

1.7 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

8 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 235B A22B Thinking is available from DeepInfra, Novita.

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 235B A22B Thinking

Deepinfra

Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M

Novita

Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Llama 3.2 90B Instruct

View details

Qwen3 VL 235B A22B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher MMLU score (90.6% vs 86.0%)

Higher MMMU-Pro score (69.3% vs 45.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.2 90B Instruct	Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Llama 3.2 90B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 90B Instruct is made by Meta and Qwen3 VL 235B A22B 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 3.2 90B Instruct compare to Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is Llama 3.2 90B Instruct cheaper than Qwen3 VL 235B A22B Thinking?

Llama 3.2 90B Instruct is 1.3x cheaper for input tokens. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.

What are the context window sizes for Llama 3.2 90B Instruct and Qwen3 VL 235B A22B Thinking?

Llama 3.2 90B Instruct supports 128K tokens and Qwen3 VL 235B A22B 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 3.2 90B Instruct and Qwen3 VL 235B A22B Thinking?

Key differences include context window (128K vs 262K), input pricing ($0.35 vs $0.45/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 235B A22B Thinking?

Llama 3.2 90B Instruct is developed by Meta and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.