Model Comparison

Llama 3.2 11B Instruct vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 11B Instruct is 24.2x cheaper per token.

Verdict: Llama 3.2 11B Instruct vs Qwen3 VL 235B A22B Thinking — which is better?

Llama 3.2 11B Instruct (by Meta) and Qwen3 VL 235B A22B Thinking (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 11B 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.

On price, Llama 3.2 11B Instruct is roughly 24.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Thinking 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 11B Instruct if…

  • cost matters — it's about 24.2x cheaper per token

Choose Qwen3 VL 235B A22B Thinking 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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.2 11B 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 Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 9.0x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 69.8x 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 11B Instruct.*

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

Lowest available price from all providers
Sat Jun 27 2026 • llm-stats.com
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input tokens$0.45
Output tokens$3.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

225.4B diff

Qwen3 VL 235B A22B Thinking has 225.4B more parameters than Llama 3.2 11B Instruct, making it 2126.4% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
10.6B
Llama 3.2 11B 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 11B Instruct's 128,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 11B 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 11B Instruct

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, 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 11B Instruct

Llama 3.2 Community License

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B 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 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

9 months ago

12mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen3 VL 235B A22B Thinking

Provider Availability

Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
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

Less expensive input tokens
Less expensive output tokens
Higher AI2D score (91.1% vs 89.2%)
Larger context window (262,144 tokens)
Higher MMLU score (90.6% vs 73.0%)
Higher MMMU-Pro score (69.3% vs 33.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Llama 3.2 11B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 11B 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 11B Instruct compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. 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 11B Instruct cheaper than Qwen3 VL 235B A22B Thinking?

Llama 3.2 11B Instruct is 9.0x cheaper for input tokens. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/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 11B Instruct and Qwen3 VL 235B A22B Thinking?

Llama 3.2 11B 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 11B Instruct and Qwen3 VL 235B A22B Thinking?

Key differences include context window (128K vs 262K), input pricing ($0.05 vs $0.45/M), licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and Qwen3 VL 235B A22B Thinking?

Llama 3.2 11B Instruct is developed by Meta and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.