Model Comparison

GPT-3.5 Turbo vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 2.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 1.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 5.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Qwen2.5 7B Instruct can generate longer responses up to 8,192 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
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 18 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.7 years ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen2.5 7B Instruct'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 Qwen2.5 7B Instruct's cutoff date.

GPT-3.5 Turbo

Sep 2021

Qwen2.5 7B Instruct

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Qwen2.5 7B Instruct is available from Together.

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

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (36.4% vs 30.8%)
Higher HumanEval score (84.8% vs 68.0%)
Higher MATH score (75.5% vs 43.1%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about GPT-3.5 Turbo vs Qwen2.5 7B Instruct.

Which is better, GPT-3.5 Turbo or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Qwen2.5 7B Instruct 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 GPT-3.5 Turbo compare to Qwen2.5 7B Instruct in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Is GPT-3.5 Turbo cheaper than Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is 1.7x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

What are the context window sizes for GPT-3.5 Turbo and Qwen2.5 7B Instruct?

GPT-3.5 Turbo supports 16K tokens and Qwen2.5 7B Instruct supports 131K 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 Qwen2.5 7B Instruct?

Key differences include context window (16K vs 131K), input pricing ($0.50 vs $0.30/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Qwen2.5 7B Instruct?

GPT-3.5 Turbo is developed by OpenAI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.