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GPT-3.5 Turbo vs Qwen2 7B Instruct

GPT-3.5 Turbo and Qwen2 7B Instruct are closely matched at -9.2 and -4.2 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-3.5 Turbo and Qwen2 7B Instruct are closely matched on the overall LLM Stats Score at -9.2 and -4.2.

In the 4 individual benchmarks reported for both models, Qwen2 7B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-3.5 Turbo

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

Choose Qwen2 7B Instruct

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Jul 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-9.2
#347
-4.2
#331
-8.5
#340
-3.9
#323
-4.4
#244
1.0
#223
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-3.5 Turbo
Qwen2 7B Instruct
-2.0#299
-1.0#292
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 14 for Qwen2 7B Instruct

4 shared

GPT-3.5 Turbo outperforms in 1 benchmarks (GPQA), while Qwen2 7B Instruct is better at 3 benchmarks (HumanEval, MATH, MMLU).

Qwen2 7B Instruct shows notably better performance in the majority of benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Qwen2 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 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 7B Instruct was released on 2024-07-23.

Qwen2 7B Instruct is 16 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Qwen2 7B Instruct

Jul 23, 2024

2.1 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

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

GPT-3.5 Turbo

Sep 2021

Qwen2 7B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Qwen2 7B Instruct side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Qwen2 7B Instruct
Open in Playground

FAQ

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

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

GPT-3.5 Turbo and Qwen2 7B Instruct are closely matched on the LLM Stats Score at -9.2 and -4.2. GPT-3.5 Turbo is made by OpenAI and Qwen2 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-3.5 Turbo compare to Qwen2 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 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

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

GPT-3.5 Turbo supports 16K tokens and Qwen2 7B Instruct supports an unknown number of 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 7B Instruct?

Key differences include LLM Stats Score (-9.2 vs -4.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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