Nova Pro vs Qwen3.5-397B-A17B
Qwen3.5-397B-A17B leads the LLM Stats Score 38.7 to 12.3. Qwen3.5-397B-A17B is 1.3x cheaper per token.
Amazon · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.5-397B-A17B leads the overall LLM Stats Score 38.7 to 12.3, ranking #68 overall.
In the 2 individual benchmarks reported for both models, Qwen3.5-397B-A17B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.5-397B-A17B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Pro also accepts a larger context window (300,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Nova Pro
- you process long inputs — it offers a 300,000 token context window
Choose Qwen3.5-397B-A17B
- overall performance matters — it scores 38.7 and ranks #68 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.3x cheaper per token
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Nova Pro · 38 for Qwen3.5-397B-A17B
Nova Pro outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 2 benchmarks (GPQA, IFEval).
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nova Pro ($0.80/1M tokens) is 1.8x more expensive than Qwen3.5-397B-A17B ($0.45/1M tokens).
For output processing, Nova Pro ($3.20/1M tokens) is 1.1x more expensive than Qwen3.5-397B-A17B ($3.00/1M tokens).
In conclusion, Nova Pro is more expensive than Qwen3.5-397B-A17B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Pro accepts 300,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Qwen3.5-397B-A17B is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Nova Pro and Qwen3.5-397B-A17B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Nova Pro
Qwen3.5-397B-A17B
License
Usage and distribution terms
Nova Pro is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nova Pro was released on 2024-11-20, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 15 months newer than Nova Pro.
Nov 20, 2024
1.8 years ago
Feb 16, 2026
7 months ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Nova Pro is available from Bedrock. Qwen3.5-397B-A17B is available from DeepInfra, Novita.
Nova Pro
Qwen3.5-397B-A17B
Outputs Comparison
Judge for yourself.
Run your own prompts against Nova Pro and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nova Pro vs Qwen3.5-397B-A17B.