Model Comparison

ERNIE 4.5 vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 4.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Qwen2.5 7B Instruct is better at 4 benchmarks (GSM8k, MATH, MMLU-Pro, MMLU-Redux).

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 1.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 13.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Qwen2.5 7B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Thu Apr 16 2026 • llm-stats.com

ERNIE 4.5

Input tokens$0.40

Output tokens$4.00

Best providerNovita

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

13.4B diff

ERNIE 4.5 has 13.4B more parameters than Qwen2.5 7B Instruct, making it 176.0% larger.

ERNIE 4.5

21.0Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

21.0B

ERNIE 4.5

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to ERNIE 4.5's 128,000 tokens. ERNIE 4.5 can generate longer responses up to 65,536 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

ERNIE 4.5

Input128,000 tokens

Output65,536 tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

ERNIE 4.5 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 4.5

Proprietary

Closed source

Qwen2.5 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 7B Instruct was released on 2024-09-19.

ERNIE 4.5 is 9 months newer than Qwen2.5 7B Instruct.

ERNIE 4.5

Jun 25, 2025

9 months ago

9mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

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

Provider Availability

ERNIE 4.5 is available from Novita. Qwen2.5 7B Instruct is available from Together.

ERNIE 4.5

Novita

Input Price:Input: $0.40/1MOutput Price:Output: $4.00/1M

Qwen2.5 7B Instruct

Together

Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

ERNIE 4.5

View details

Baidu

Higher GPQA score (74.0% vs 36.4%)

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GSM8k score (91.6% vs 25.2%)

Higher MATH score (75.5% vs 12.4%)

Higher MMLU-Pro score (56.3% vs 16.0%)

Higher MMLU-Redux score (75.4% vs 43.2%)

Detailed Comparison

AI Model Comparison Table
Feature	ERNIE 4.5	Qwen2.5 7B Instruct

FAQ

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

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. ERNIE 4.5 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 benchmark scores, pricing, and capabilities above.

ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Qwen2.5 7B Instruct is 1.3x cheaper for input tokens. ERNIE 4.5 costs $0.40/M input and $4.00/M output via novita. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

ERNIE 4.5 supports 128K 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.

Key differences include context window (128K vs 131K), input pricing ($0.40 vs $0.30/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

ERNIE 4.5 vs Qwen2.5 7B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

ERNIE 4.5

Qwen2.5 7B Instruct

Outputs Comparison

Key Takeaways

ERNIE 4.5

Qwen2.5 7B Instruct

Detailed Comparison

FAQ

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

How does ERNIE 4.5 compare to Qwen2.5 7B Instruct in benchmarks?

Is ERNIE 4.5 cheaper than Qwen2.5 7B Instruct?

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

What are the main differences between ERNIE 4.5 and Qwen2.5 7B Instruct?

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