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GPT-4o vs Qwen2.5 14B Instruct

GPT-4o leads the LLM Stats Score 14.3 to 3.8.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.3 to 3.8, ranking #226 overall.

In the 3 individual benchmarks reported for both models, GPT-4o 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-4o

  • overall performance matters — it scores 14.3 and ranks #226 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Qwen2.5 14B 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
14.3
#226
3.8
#293
16.0
#207
3.2
#290
-0.3
#235
4.0
#206
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o
Qwen2.5 14B Instruct
12.7#225
10.7#243
16.4#109
5.4#164
16.4#92
6.0#145
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 16 for Qwen2.5 14B Instruct

3 shared

GPT-4o outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Fri Sep 04 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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4o supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.

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

GPT-4o

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

2.1 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

1mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4o and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about GPT-4o vs Qwen2.5 14B Instruct.

Which is better, GPT-4o or Qwen2.5 14B Instruct?

GPT-4o leads the LLM Stats Score 14.3 to 3.8. GPT-4o is made by OpenAI and Qwen2.5 14B 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-4o compare to Qwen2.5 14B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for GPT-4o and Qwen2.5 14B Instruct?

GPT-4o supports 128K tokens and Qwen2.5 14B 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-4o and Qwen2.5 14B Instruct?

Key differences include LLM Stats Score (14.3 vs 3.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Qwen2.5 14B Instruct?

GPT-4o is developed by OpenAI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.