Model Comparison
Llama 4 Scout vs Qwen3-Next-80B-A3B-InstructWhich is better in 2026?
Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks. Llama 4 Scout is 3.6x cheaper per token.
Verdict: Llama 4 Scout vs Qwen3-Next-80B-A3B-Instruct — which is better?
Llama 4 Scout (by Meta) and Qwen3-Next-80B-A3B-Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Llama 4 Scout outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 4 Scout if…
- cost matters — it's about 3.6x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
Choose Qwen3-Next-80B-A3B-Instruct if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Llama 4 Scout outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Scout ($0.08/1M tokens) is 1.9x cheaper than Qwen3-Next-80B-A3B-Instruct ($0.15/1M tokens).
For output processing, Llama 4 Scout ($0.30/1M tokens) is 5.0x cheaper than Qwen3-Next-80B-A3B-Instruct ($1.50/1M tokens).
In conclusion, Qwen3-Next-80B-A3B-Instruct is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Scout has 29.0B more parameters than Qwen3-Next-80B-A3B-Instruct, making it 36.3% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Qwen3-Next-80B-A3B-Instruct's 65,536 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Qwen3-Next-80B-A3B-Instruct is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Llama 4 Scout supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Scout
Qwen3-Next-80B-A3B-Instruct
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.
Qwen3-Next-80B-A3B-Instruct is 5 months newer than Llama 4 Scout.
Apr 5, 2025
1.2 years ago
Sep 10, 2025
9 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Qwen3-Next-80B-A3B-Instruct is available from Novita.
Llama 4 Scout
Qwen3-Next-80B-A3B-Instruct
Outputs Comparison
Key Takeaways
Qwen3-Next-80B-A3B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 4 Scout vs Qwen3-Next-80B-A3B-Instruct.