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

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

Comprehensive side-by-side LLM comparison

Qwen3-235B-A22B-Thinking-2507 leads with 22.2% higher average benchmark score. Llama 4 Maverick offers 1.6M more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Llama 4 Maverick is $2.53 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.

Meta

Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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 Maverick

Pricing Comparison

Cost per million tokens (USD)

Llama 4 Maverick

Input:$0.17

Output:$0.60($2.53 cheaper)

Qwen3-235B-A22B-Thinking-2507

Input:$0.30

Output:$3.00

Performance Metrics

Context window and performance specifications

Average performance across 36 common benchmarks

Llama 4 Maverick

Average Score:25.9%

Qwen3-235B-A22B-Thinking-2507

Average Score:48.1%(+22.2%)

Provider Availability & Performance

Available providers and their performance metrics

Llama 4 Maverick

7 providers

DeepInfra

Throughput: 83.59 tok/s

Latency: 0.38ms

Fireworks

Throughput: 63.03 tok/s

Latency: 0.62ms

Groq

Throughput: 307.3 tok/s

Latency: 0.27ms

Lambda

Throughput: 93.69 tok/s

Latency: 0.65ms

Novita

Llama 4 Maverick

Avg Score:25.9%

Providers:7

Qwen3-235B-A22B-Thinking-2507

Avg Score:48.1%(+22.2%)

Providers:1