Model Comparison

Qwen3 32B vs Qwen3 MaxWhich is better in 2026?

Qwen3 Max significantly outperforms across most benchmarks. Qwen3 32B is 10.8x cheaper per token.

Verdict: Qwen3 32B vs Qwen3 Max — which is better?

Qwen3 32B (by Alibaba Cloud / Qwen Team) and Qwen3 Max (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.

Qwen3 32B outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (AIME 2025). Qwen3 Max significantly outperforms across most benchmarks.

On price, Qwen3 32B is roughly 10.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Qwen3 32B if…

  • cost matters — it's about 10.8x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3 32B outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (AIME 2025).

Qwen3 Max significantly outperforms across most benchmarks.

Sat Jun 27 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 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).

For output processing, Qwen3 32B ($0.30/1M tokens) is 16.7x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Sat Jun 27 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

967.2B diff

Qwen3 Max has 967.2B more parameters than Qwen3 32B, making it 2948.8% larger.

Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
32.8B
Qwen3 32B
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 input tokens compared to Qwen3 32B's 128,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

Qwen3 32B is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3 32B

Apache 2.0

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3 32B was released on 2025-04-29, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 8 months newer than Qwen3 32B.

Qwen3 32B

Apr 29, 2025

1.2 years ago

Qwen3 Max

Dec 15, 2025

6 months ago

7mo 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 Max is available from Novita.

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)
Higher AIME 2025 score (81.6% vs 72.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3 32B and Qwen3 Max side-by-side, then vote on the output you prefer.

Qwen3 32B
✓ Preferred
Qwen3 Max
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 32B
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about Qwen3 32B vs Qwen3 Max.

Which is better, Qwen3 32B or Qwen3 Max?

Qwen3 Max significantly outperforms across most benchmarks. Qwen3 32B is made by Alibaba Cloud / Qwen Team and Qwen3 Max 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 Max in benchmarks?

Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is Qwen3 32B cheaper than Qwen3 Max?

Qwen3 32B is 5.0x cheaper for input tokens. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for Qwen3 32B and Qwen3 Max?

Qwen3 32B supports 128K tokens and Qwen3 Max supports 256K 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 Max?

Key differences include context window (128K vs 256K), input pricing ($0.10 vs $0.50/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.