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Llama 4 Scout vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 4 Scout outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 4 Scout

  • you want predictable pricing at $0.08/M input and $0.30/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.08 / M
— / M
Output price
$0.30 / M
— / M
Context window
10,000,000
Released
Apr 2025
Aug 2026
License
Llama 4 Community License Agreement
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 4 Scout outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

71.0B diff

Qwen3.8-Flash-Next has 71.0B more parameters than Llama 4 Scout, making it 65.1% larger.

Meta
Llama 4 Scout
109.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
109.0B
Llama 4 Scout
180.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Scout and Qwen3.8-Flash-Next support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, 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.

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 17 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.4 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.4yr 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 Llama 4 Scout and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Llama 4 Scout vs Qwen3.8-Flash-Next.

Which is better, Llama 4 Scout or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Llama 4 Scout is made by Meta and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Scout compare to Qwen3.8-Flash-Next in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. 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 context window sizes for Llama 4 Scout and Qwen3.8-Flash-Next?

Llama 4 Scout supports 10.0M tokens and Qwen3.8-Flash-Next 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 Llama 4 Scout and Qwen3.8-Flash-Next?

Key differences include licensing (Llama 4 Community License Agreement vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and Qwen3.8-Flash-Next?

Llama 4 Scout is developed by Meta and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.