Llama 3.3 Nemotron Super 49B V1.5 vs Qwen3 30B A3B Instruct 2507 (Comparative Analysis)
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Comparative Analysis: Llama 3.3 Nemotron Super 49B V1.5 vs. Qwen3 30B A3B Instruct 2507
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Overview
Qwen3 30B A3B Instruct 2507 was released 2 months before Llama 3.3 Nemotron Super 49B V1.5.
 Llama 3.3 Nemotron Super 49B V1.5 |  Qwen3 30B A3B Instruct 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | NVIDIA | Qwen |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 32K tokens |
Release Date When this model first became publicly available | October 10, 2025 9 months ago October 10th, 2025 | July 29, 2025 11 months ago July 29th, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 30B A3B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Llama 3.3 Nemotron Super 49B V1.5 is roughly 8.0x more expensive compared to Qwen3 30B A3B Instruct 2507 for input tokens and roughly 2.1x more expensive for output tokens.
| Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 30B A3B Instruct 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million outut tokens | $0.40 per million tokens | $0.19 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 3.3 Nemotron Super 49B V1.5 and Qwen3 30B A3B Instruct 2507.
| Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 30B A3B Instruct 2507 | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
At a Glance
Quick overview of what makes Llama 3.3 Nemotron Super 49B V1.5 and Qwen3 30B A3B Instruct 2507 unique.
Llama 3.3 Nemotron Super 49B V1.5 by NVIDIA can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.40/M input and $0.40/M output tokens. Released October 10th, 2025.Qwen3 30B A3B Instruct 2507 by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.19/M output tokens. Released July 29th, 2025.Explore More Comparisons
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💻Technology
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