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ERNIE 5.0 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 49.7 to 33.7.

Baidu · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 49.7 to 33.7, ranking #15 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose ERNIE 5.0

  • you are already invested in the Baidu ecosystem

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 49.7 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
33.7
#87
49.7
#15
33.3
#87
49.3
#15
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
ERNIE 5.0
Qwen3.8-Flash-Next
31.0#67
32.7#54
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for ERNIE 5.0 · 22 for Qwen3.8-Flash-Next

2 shared

ERNIE 5.0 outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Both ERNIE 5.0 and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

ERNIE 5.0

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

ERNIE 5.0

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2026-01-22, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 7 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2026

7 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

4 days ago

7mo 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 ERNIE 5.0 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

ERNIE 5.0
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about ERNIE 5.0 vs Qwen3.8-Flash-Next.

Which is better, ERNIE 5.0 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 49.7 to 33.7. ERNIE 5.0 is made by Baidu and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next 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%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the main differences between ERNIE 5.0 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (33.7 vs 49.7), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 5.0 and Qwen3.8-Flash-Next?

ERNIE 5.0 is developed by Baidu and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.