Llama 4 Maverick vs Qwen3.5-122B-A10B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 4 Maverick and Qwen3.5-122B-A10B.
Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Technical Specifications
| Specification | Llama 4 Maverick | Qwen3.5-122B-A10B |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 1,048,576 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-05 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
Qwen3.5-122B-A10B
$0.26
Output Price per Million Tokens
Llama 4 Maverick
$0.60
Qwen3.5-122B-A10B
$2.08
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 4 Maverick Quirks & Gotchas
No developer gotchas reported.
Qwen3.5-122B-A10B Quirks & Gotchas
No developer gotchas reported.