Model Comparison

Qwen3 32B vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen3 32B is 8.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3 32B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (AIME 2025).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Qwen3 32B ($0.10/1M tokens) is 4.5x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Qwen3 32B ($0.30/1M tokens) is 11.6x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than Qwen3 32B.*

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

Qwen3 32B

Input tokens$0.10

Output tokens$0.30

Best providerDeepinfra

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

203.2B diff

Qwen3 VL 235B A22B Thinking has 203.2B more parameters than Qwen3 32B, making it 619.5% larger.

Qwen3 32B

32.8Bparameters

Qwen3 VL 235B A22B Thinking

236.0Bparameters

32.8B

Qwen3 32B

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 Qwen3 32B's 128,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Qwen3 32B is limited to 128,000 tokens.

Qwen3 32B

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

Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Qwen3 32B does not.

Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3 32B

Text

Images

Audio

Video

Qwen3 VL 235B A22B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3 32B

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 32B was released on 2025-04-29, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 5 months newer than Qwen3 32B.

Qwen3 32B

Apr 29, 2025

1.1 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

8 months ago

4mo 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

Qwen3 32B is available from DeepInfra, Novita, Sambanova. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

Qwen3 32B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M

Sambanova

Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M

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

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Qwen3 VL 235B A22B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Higher AIME 2025 score (89.7% vs 72.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3 32B	Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Qwen3 32B vs Qwen3 VL 235B A22B Thinking.

Which is better, Qwen3 32B or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen3 32B is made by Alibaba Cloud / Qwen Team 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 Qwen3 32B compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is Qwen3 32B cheaper than Qwen3 VL 235B A22B Thinking?

Qwen3 32B is 4.5x cheaper for input tokens. Qwen3 32B costs $0.10/M input and $0.30/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 Qwen3 32B and Qwen3 VL 235B A22B Thinking?

Qwen3 32B 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 Qwen3 32B and Qwen3 VL 235B A22B Thinking?

Key differences include context window (128K vs 262K), input pricing ($0.10 vs $0.45/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.