Llama 4 Scout vs Qwen3-235B-A22B-Thinking-2507 - AI Comparison for Builders | airank.dev

Llama 4 Scout vs Qwen3-235B-A22B-Thinking-2507

Comprehensive side-by-side LLM comparison

Qwen3-235B-A22B-Thinking-2507 leads with 26.4% higher average benchmark score. Llama 4 Scout offers 19.6M more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Llama 4 Scout is $2.92 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

3 months newer

Llama 4 Scout

Pricing Comparison

Cost per million tokens (USD)

Llama 4 Scout

Input:$0.08

Output:$0.30($2.92 cheaper)

Qwen3-235B-A22B-Thinking-2507

Input:$0.30

Output:$3.00

Performance Metrics

Context window and performance specifications

Average performance across 35 common benchmarks

Llama 4 Scout

Average Score:23.1%

Qwen3-235B-A22B-Thinking-2507

Average Score:49.4%(+26.4%)

Provider Availability & Performance

Available providers and their performance metrics

Llama 4 Scout

6 providers

DeepInfra

Throughput: 76.1 tok/s

Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s

Latency: 0.53ms

Groq

Throughput: 776.1 tok/s

Latency: 1.08ms

Lambda

Throughput: 139.7 tok/s

Latency: 0.43ms

Novita

Llama 4 Scout

Avg Score:23.1%

Providers:6

Qwen3-235B-A22B-Thinking-2507

Avg Score:49.4%(+26.4%)

Providers:1