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ERNIE 5.0 vs Qwen2.5 7B Instruct

ERNIE 5.0 leads the LLM Stats Score 33.4 to 2.5.

Baidu · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

ERNIE 5.0 leads the overall LLM Stats Score 33.4 to 2.5, ranking #99 overall.

In the 2 individual benchmarks reported for both models, ERNIE 5.0 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 ERNIE 5.0

  • overall performance matters — it scores 33.4 and ranks #99 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2026

Choose Qwen2.5 7B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
33.4
#99
2.5
#313
33.0
#99
2.6
#306
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.30 / M
Output price
— / M
$0.30 / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
ERNIE 5.0
Qwen2.5 7B Instruct
31.0#71
8.1#260
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for ERNIE 5.0 · 14 for Qwen2.5 7B Instruct

2 shared

ERNIE 5.0 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 7B Instruct is better at 0 benchmarks.

ERNIE 5.0 significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

ERNIE 5.0 supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 5.0

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 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.

ERNIE 5.0

Proprietary

Closed source

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2026-01-22, while Qwen2.5 7B Instruct was released on 2024-09-19.

ERNIE 5.0 is 16 months newer than Qwen2.5 7B Instruct.

ERNIE 5.0

Jan 22, 2026

8 months ago

1.3yr newer
Qwen2.5 7B Instruct

Sep 19, 2024

2.0 years ago

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 ERNIE 5.0 and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

ERNIE 5.0
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about ERNIE 5.0 vs Qwen2.5 7B Instruct.

Which is better, ERNIE 5.0 or Qwen2.5 7B Instruct?

ERNIE 5.0 leads the LLM Stats Score 33.4 to 2.5. ERNIE 5.0 is made by Baidu and Qwen2.5 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 ERNIE 5.0 compare to Qwen2.5 7B Instruct in benchmarks?

ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for ERNIE 5.0 and Qwen2.5 7B Instruct?

ERNIE 5.0 supports an unknown number of 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 ERNIE 5.0 and Qwen2.5 7B Instruct?

Key differences include LLM Stats Score (33.4 vs 2.5), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 5.0 and Qwen2.5 7B Instruct?

ERNIE 5.0 is developed by Baidu and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.