Model Comparison

Llama 3.2 90B Instruct vs Qwen3 VL 235B A22B InstructWhich is better in 2026?

Qwen3 VL 235B A22B Instruct shows notably better performance in the majority of benchmarks. Llama 3.2 90B Instruct is 1.6x cheaper per token.

Verdict: Llama 3.2 90B Instruct vs Qwen3 VL 235B A22B Instruct — which is better?

Llama 3.2 90B Instruct (by Meta) and Qwen3 VL 235B A22B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama 3.2 90B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 235B A22B Instruct is better at 2 benchmarks (MMLU, MMMU-Pro). Qwen3 VL 235B A22B Instruct shows notably better performance in the majority of benchmarks.

On price, Llama 3.2 90B Instruct is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Llama 3.2 90B Instruct if…

  • cost matters — it's about 1.6x cheaper per token

Choose Qwen3 VL 235B A22B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025
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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 Instruct is better at 2 benchmarks (MMLU, MMMU-Pro).

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

Sat Jun 13 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 1.2x more expensive than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 3.7x cheaper than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Instruct 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 Jun 13 2026 • llm-stats.com
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.30
Output tokens$1.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

146.0B diff

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

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
90.0B
Llama 3.2 90B Instruct
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

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

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Qwen3 VL 235B A22B Instruct 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 Instruct

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 Instruct is available from DeepInfra, Novita.

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Less expensive output tokens
Higher AI2D score (92.3% vs 89.7%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Less expensive input tokens
Higher MMLU score (88.8% vs 86.0%)
Higher MMMU-Pro score (68.1% vs 45.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 90B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

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

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

Qwen3 VL 235B A22B Instruct shows notably better performance in the majority of benchmarks. Llama 3.2 90B Instruct is made by Meta and Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

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

Qwen3 VL 235B A22B Instruct is 1.2x 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 Instruct costs $0.30/M input and $1.49/M output via deepinfra.

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

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

Key differences include context window (128K vs 262K), input pricing ($0.35 vs $0.30/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 Instruct?

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

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