Model Comparison

Qwen3-235B-A22B-Thinking-2507 vs Qwen3 32B

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3 32B is 6.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3-235B-A22B-Thinking-2507 outperforms in 1 benchmarks (AIME 2025), while Qwen3 32B is better at 0 benchmarks.

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

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens) is 3.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens) is 10.0x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Qwen3 32B.*

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

Lowest available price from all providers

Wed Jun 03 2026 • llm-stats.com

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Qwen3 32B

Input tokens$0.10

Output tokens$0.30

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

202.2B diff

Qwen3-235B-A22B-Thinking-2507 has 202.2B more parameters than Qwen3 32B, making it 616.5% larger.

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

Qwen3 32B

32.8Bparameters

235.0B

Qwen3-235B-A22B-Thinking-2507

32.8B

Qwen3 32B

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Qwen3 32B's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Wed Jun 03 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Qwen3 32B was released on 2025-04-29.

Qwen3-235B-A22B-Thinking-2507 is 3 months newer than Qwen3 32B.

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

10 months ago

2mo newer

Qwen3 32B

Apr 29, 2025

1.1 years ago

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

Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

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

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher AIME 2025 score (92.3% vs 72.9%)

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3-235B-A22B-Thinking-2507	Qwen3 32B

FAQ

Common questions about Qwen3-235B-A22B-Thinking-2507 vs Qwen3 32B.

Which is better, Qwen3-235B-A22B-Thinking-2507 or Qwen3 32B?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team and Qwen3 32B 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 Qwen3-235B-A22B-Thinking-2507 compare to Qwen3 32B in benchmarks?

Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Qwen3 32B?

Qwen3 32B is 3.0x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

What are the context window sizes for Qwen3-235B-A22B-Thinking-2507 and Qwen3 32B?

Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-235B-A22B-Thinking-2507 and Qwen3 32B?

Key differences include context window (262K vs 128K), input pricing ($0.30 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.