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ERNIE 4.5 vs Qwen2.5 VL 7B Instruct

Qwen2.5 VL 7B Instruct leads the LLM Stats Score 6.8 to -13.3.

Baidu · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5 VL 7B Instruct leads the overall LLM Stats Score 6.8 to -13.3, ranking #282 overall.

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

Choose ERNIE 4.5

  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5 VL 7B Instruct

  • overall performance matters — it scores 6.8 and ranks #282 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-13.3
#358
6.8
#282
-13.2
#351
3.4
#289
Cost, coverage & limits
Benchmark wins
Input price
$0.40 / M
— / M
Output price
$4.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
ERNIE 4.5
Qwen2.5 VL 7B Instruct
-15.9#318
3.5#279
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for ERNIE 4.5 · 32 for Qwen2.5 VL 7B Instruct

No common benchmarks found

ERNIE 4.5 and Qwen2.5 VL 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

12.7B diff

ERNIE 4.5 has 12.7B more parameters than Qwen2.5 VL 7B Instruct, making it 153.3% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
21.0B
ERNIE 4.5
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only ERNIE 4.5 specifies input context (128,000 tokens). Only ERNIE 4.5 specifies output context (65,536 tokens).

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas ERNIE 4.5 does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

ERNIE 4.5

Proprietary

Closed source

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

ERNIE 4.5 is 5 months newer than Qwen2.5 VL 7B Instruct.

ERNIE 4.5

Jun 25, 2025

1.2 years ago

5mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 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 4.5 and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

ERNIE 4.5
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about ERNIE 4.5 vs Qwen2.5 VL 7B Instruct.

Which is better, ERNIE 4.5 or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct leads the LLM Stats Score 6.8 to -13.3. ERNIE 4.5 is made by Baidu and Qwen2.5 VL 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 4.5 compare to Qwen2.5 VL 7B Instruct in benchmarks?

ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for ERNIE 4.5 and Qwen2.5 VL 7B Instruct?

ERNIE 4.5 supports 128K tokens and Qwen2.5 VL 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 ERNIE 4.5 and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (-13.3 vs 6.8), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 4.5 and Qwen2.5 VL 7B Instruct?

ERNIE 4.5 is developed by Baidu and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.