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GPT-4o mini vs Qwen2.5 14B Instruct

GPT-4o mini and Qwen2.5 14B Instruct are closely matched at 3.8 and 3.8 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4o mini and Qwen2.5 14B Instruct are closely matched on the overall LLM Stats Score at 3.8 and 3.8.

The models split the 4 individual benchmarks reported for both models evenly.

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

Choose GPT-4o mini

  • you want predictable pricing at $0.15/M input and $0.60/M output

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
3.8
#295
3.8
#293
4.2
#285
3.2
#290
-0.4
#236
4.0
#206
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4o mini
Qwen2.5 14B Instruct
11.8#233
10.7#243
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

4 shared

GPT-4o mini outperforms in 2 benchmarks (HumanEval, MMLU), while Qwen2.5 14B Instruct is better at 2 benchmarks (GPQA, MATH).

Both models are evenly matched across the 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 mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

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

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

GPT-4o mini

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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 mini

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 2 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.1 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2.5 14B Instruct's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5 14B Instruct's cutoff date.

GPT-4o mini

Oct 2023

Qwen2.5 14B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

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

FAQ

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

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

GPT-4o mini and Qwen2.5 14B Instruct are closely matched on the LLM Stats Score at 3.8 and 3.8. GPT-4o mini 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 mini compare to Qwen2.5 14B Instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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 mini and Qwen2.5 14B Instruct?

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

Key differences include LLM Stats Score (3.8 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 mini and Qwen2.5 14B Instruct?

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