Nova Premier 1.0 vs Qwen3 Max (Comparative Analysis)
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Comparative Analysis: Nova Premier 1.0 vs. Qwen3 Max
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Overview
Qwen3 Max was released 1 month before Nova Premier 1.0.
 Nova Premier 1.0 |  Qwen3 Max | |
|---|---|---|
Model Provider The organization behind this AI's development | Amazon | Qwen |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32K tokens | 32.8K tokens |
Release Date When this model first became publicly available | October 31, 2025 9 months ago October 31st, 2025 | September 23, 2025 10 months ago September 23rd, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Nova Premier 1.0 | Qwen3 Max | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Nova | Qwen3 |
Key Features Advanced capabilities | ✓Function CallingStructured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
Nova Premier 1.0 is roughly 3.2x more expensive compared to Qwen3 Max for input tokens and roughly 3.2x more expensive for output tokens.
| Nova Premier 1.0 | Qwen3 Max | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.78 per million tokens |
Output Token Cost Cost per million output tokens | $12.50 per million tokens | $3.90 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.63 per million tokens | $0.16 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $0.97 per million tokens |
Long Context Pricing Rates for prompts with 32,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $1.56 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $7.80 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.31 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $1.95 per million tokens |
Long Context Pricing Rates for prompts with 128,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $1.95 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $9.75 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.39 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $2.44 per million tokens |
Benchmarks
Compare relevant benchmarks between Nova Premier 1.0 and Qwen3 Max.
| Nova Premier 1.0 | Qwen3 Max | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 860 Elo (#116 in Website (26.2% win rate)) | 1,165 Elo (#38 in Asciiart (47.2% win rate)) |
At a Glance
Quick overview of what makes Nova Premier 1.0 and Qwen3 Max unique.
Nova Premier 1.0 by Amazon understands both text and images, can use external tools and APIs. It can handle standard conversations with its 1M token context window. Reasonably priced at $2.50/M input and $12.50/M output tokens. Includes built-in content moderation for safer outputs. Released October 31st, 2025.Qwen3 Max by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.78/M input and $3.90/M output tokens. Released September 23rd, 2025.Explore More Comparisons
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Compare Qwen3 Max with:
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Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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🌐Translation
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