For Developers/Models/Compare/Amazon Nova Pro vs Qwen 3

Amazon Nova Pro vs Qwen 3

Pricing, benchmarks, and use case comparison

Quick take

  • Amazon Nova Pro is meaningfully stronger at multimodal (85 vs 30 on our capability index).
  • Qwen 3 is meaningfully stronger at math (80 vs 68).
  • Qwen 3 is open-weights (free to self-host); Amazon Nova Pro is paid API only.
  • Amazon Nova Pro has a 300K tokens context window vs 128K tokens (32K for 0.6B/1.7B/4B dense variants) - better for whole-repo or long-document work.

Specs comparison

Amazon Nova ProQwen 3
ProviderAmazon Web ServicesAlibaba (Qwen Team)
TypeClosed sourceOpen source
Context window300K tokens128K tokens (32K for 0.6B/1.7B/4B dense variants)
Input / 1M tokens$0.80Free (self-host)
Output / 1M tokens$3.20Free (self-host)
Release date2024-122025-04

Benchmarks

BenchmarkAmazon Nova ProQwen 3
MMLU~85%-
Qwen3-235B-A22B-235B total / 22B active
Qwen3-30B-A3B-30B total / 3B active

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Amazon Nova Pro if...

  • You are building on AWS and want native Bedrock integration
  • You need multimodal understanding of images or video plus text
  • You want a cost-balanced general model with a large context
  • You need enterprise controls: data residency, service tiers, prompt caching
Full Amazon Nova Pro details →

Choose Qwen 3 if...

  • You need an open, self-hostable model with a permissive license
  • You want to toggle deep reasoning on or off per request
  • Multilingual applications
  • Efficient inference via MoE with few active parameters
Full Qwen 3 details →

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