Model Comparison

GPT-3.5 Turbo vs Qwen3 32BWhich is better in 2026?

Comparing GPT-3.5 Turbo and Qwen3 32B across benchmarks, pricing, and capabilities.

Verdict: GPT-3.5 Turbo vs Qwen3 32B — which is better?

GPT-3.5 Turbo (by OpenAI) and Qwen3 32B (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.

On price, Qwen3 32B is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 32B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Qwen3 32B if…

  • cost matters — it's about 5.0x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-3.5 Turbo and Qwen3 32Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 5.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 5.0x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen3 32B accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Qwen3 32B uses Apache 2.0.

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

GPT-3.5 Turbo

Proprietary

Closed source

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 26 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Qwen3 32B

Apr 29, 2025

1.1 years ago

2.1yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen3 32B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Qwen3 32B's cutoff date.

GPT-3.5 Turbo

Sep 2021

Qwen3 32B

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about GPT-3.5 Turbo vs Qwen3 32B.

Which is better, GPT-3.5 Turbo or Qwen3 32B?

GPT-3.5 Turbo (OpenAI) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-3.5 Turbo compare to Qwen3 32B in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is GPT-3.5 Turbo cheaper than Qwen3 32B?

Qwen3 32B is 5.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

What are the context window sizes for GPT-3.5 Turbo and Qwen3 32B?

GPT-3.5 Turbo supports 16K 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 GPT-3.5 Turbo and Qwen3 32B?

Key differences include context window (16K vs 128K), input pricing ($0.50 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Qwen3 32B?

GPT-3.5 Turbo is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.