Llama 4 Maverick vs Qwen3.5-397B-A17B Comparison

Comparing Llama 4 Maverick and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 4 Maverick outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, Llama 4 Maverick ($0.17/1M tokens) is 3.5x cheaper than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, Llama 4 Maverick ($0.60/1M tokens) is 6.0x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Llama 4 Maverick.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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Model Size

Parameter count comparison

3.0B diff

Llama 4 Maverick has 3.0B more parameters than Qwen3.5-397B-A17B, making it 0.8% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
400.0B
Llama 4 Maverick
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Maverick and Qwen3.5-397B-A17B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 4 Maverick

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3.5-397B-A17B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 11 months newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

11 months ago

Qwen3.5-397B-A17B

Feb 16, 2026

3 weeks ago

10mo newer

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 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3.5-397B-A17B is available from Novita. The availability of providers can affect quality of the model and reliability.

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (88.4% vs 69.8%)
Higher MMLU-Pro score (87.8% vs 80.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B