Model Comparison
Llama 4 Maverick vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Llama 4 Maverick is 3.5x cheaper per token.
Verdict: Llama 4 Maverick vs Qwen3-235B-A22B-Thinking-2507 — which is better?
Llama 4 Maverick (by Meta) and Qwen3-235B-A22B-Thinking-2507 (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 Maverick outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
On price, Llama 4 Maverick is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 4 Maverick if…
- cost matters — it's about 3.5x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
Choose Qwen3-235B-A22B-Thinking-2507 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
Llama 4 Maverick outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Maverick ($0.17/1M tokens) is 1.8x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 5.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).
In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 165.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 70.2% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Llama 4 Maverick supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Maverick
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3-235B-A22B-Thinking-2507 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 Maverick was released on 2025-04-05, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Qwen3-235B-A22B-Thinking-2507 is 4 months newer than Llama 4 Maverick.
Apr 5, 2025
1.2 years ago
Jul 25, 2025
10 months ago
3mo 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 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.
Llama 4 Maverick
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Key Takeaways
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 4 Maverick vs Qwen3-235B-A22B-Thinking-2507.