Model Comparison

Llama 3.2 11B Instruct vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 6.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (GPQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Tue May 12 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 3.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 16.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 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
Tue May 12 2026 • llm-stats.com
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

224.4B diff

Qwen3-235B-A22B-Instruct-2507 has 224.4B more parameters than Llama 3.2 11B Instruct, making it 2117.0% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
10.6B
Llama 3.2 11B Instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 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
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 11B Instruct

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 10 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.6 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

10mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen3-235B-A22B-Instruct-2507

Provider Availability

Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, 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

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 32.8%)

Detailed Comparison

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Llama 3.2 11B Instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is Llama 3.2 11B Instruct cheaper than Qwen3-235B-A22B-Instruct-2507?

Llama 3.2 11B Instruct is 3.0x cheaper for input tokens. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.

What are the context window sizes for Llama 3.2 11B Instruct and Qwen3-235B-A22B-Instruct-2507?

Llama 3.2 11B Instruct supports 128K tokens and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include context window (128K vs 262K), input pricing ($0.05 vs $0.15/M), multimodal support (yes vs no), 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 Qwen3-235B-A22B-Instruct-2507?

Llama 3.2 11B Instruct is developed by Meta and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.