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GPT-4 Turbo vs Qwen2.5-Coder 7B Instruct

GPT-4 Turbo leads the LLM Stats Score 9.6 to -2.5.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4 Turbo leads the overall LLM Stats Score 9.6 to -2.5, ranking #250 overall.

In the 3 individual benchmarks reported for both models, GPT-4 Turbo wins 2; 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-4 Turbo

  • overall performance matters — it scores 9.6 and ranks #250 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose Qwen2.5-Coder 7B Instruct

  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
9.6
#250
-2.5
#321
9.7
#242
-2.5
#313
7.3
#171
6.6
#174
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
Qwen2.5-Coder 7B Instruct
17.4#183
-1.8#293
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 19 for Qwen2.5-Coder 7B Instruct

3 shared

GPT-4 Turbo outperforms in 2 benchmarks (MATH, MMLU), while Qwen2.5-Coder 7B Instruct is better at 1 benchmark (HumanEval).

GPT-4 Turbo shows notably better performance in the majority of benchmarks.

Fri Aug 28 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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

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

GPT-4 Turbo

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.9 years ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen2.5-Coder 7B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-4 Turbo or Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo leads the LLM Stats Score 9.6 to -2.5. GPT-4 Turbo is made by OpenAI and Qwen2.5-Coder 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-4 Turbo compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for GPT-4 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo supports 128K tokens and Qwen2.5-Coder 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-4 Turbo and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (9.6 vs -2.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.