Model Comparison

Llama 4 Scout vs Qwen3-Coder

Comparing Llama 4 Scout and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 4 Scout and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 2.3x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 1.7x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

371.0B diff

Qwen3-Coder has 371.0B more parameters than Llama 4 Scout, making it 340.4% larger.

Meta
Llama 4 Scout
109.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
109.0B
Llama 4 Scout
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Qwen3-Coder's 256,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Qwen3-Coder is limited to 256,000 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Qwen3-Coder 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

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Qwen3-Coder uses Apache 2.0.

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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Qwen3-Coder was released on 2025-01-01.

Llama 4 Scout is 3 months newer than Qwen3-Coder.

Llama 4 Scout

Apr 5, 2025

1.0 years ago

3mo newer
Qwen3-Coder

Jan 1, 2025

1.3 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

Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Qwen3-Coder is available from DeepInfra, Fireworks.

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Llama 4 Scout vs Qwen3-Coder

Llama 4 Scout (Meta) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Llama 4 Scout is 2.3x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
Llama 4 Scout supports 10.0M tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (10.0M vs 256K), input pricing ($0.08 vs $0.18/M), multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 4 Scout is developed by Meta and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.