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Llama 4 Maverick vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 49.7 to 14.9.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 49.7 to 14.9, ranking #15 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 1; 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 Llama 4 Maverick

  • you want predictable pricing at $0.17/M input and $0.60/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 49.7 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Llama 4 Maverick
Meta
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
14.9
#216
49.7
#15
Reasoning
14.6
#214
49.3
#15
Coding
3.2
#206
36.6
#18
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.17 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 4 Maverick
Qwen3.8-Flash-Next
Math
20.6#147
32.7#54
Vision
13.2#91
34.4#12
Multimodal
16.5#77
36.2#7
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 4 Maverick · 22 for Qwen3.8-Flash-Next

1 shared

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

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

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

275.0B diff

Llama 4 Maverick has 275.0B more parameters than Qwen3.8-Flash-Next, making it 220.0% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
400.0B
Llama 4 Maverick
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Llama 4 Maverick

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick 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 Maverick

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 Maverick 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 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.4 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

5 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 Maverick and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8-Flash-Next leads the LLM Stats Score 49.7 to 14.9. Llama 4 Maverick 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 capability indexes, individual benchmarks, pricing, and limits above.

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

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. 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 Maverick and Qwen3.8-Flash-Next?

Llama 4 Maverick supports 1.0M 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 Maverick and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (14.9 vs 49.7), 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 Maverick and Qwen3.8-Flash-Next?

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

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