Amazon vs Qwen (Alibaba)
Amazon (5 models) vs Qwen (Alibaba) (42 models) - compared across composite scores, pricing, capabilities, and context windows.
Amazon
View all modelsQwen (Alibaba)
View all modelsHead-to-Head: Amazon vs Qwen (Alibaba) Model Matchups
| Amazon | Score | vs | Qwen (Alibaba) | Score |
|---|---|---|---|---|
| Nova 2 Lite | 40 | Qwen3.8 Max Prime | 40 | |
| Nova Premier 1.0 | 40 | Qwen3.8 Omni Flash | 40 | |
| Nova Lite 1.0 | 40 | Qwen3.8 Max (0902) | 40 | |
| Nova Micro 1.0 | 40 | Qwen3.8 Flash | 40 | |
| Nova Pro 1.0 | 40 | Qwen3.8 27B | 40 |
Capability Comparison
| Capability | Amazon | Qwen (Alibaba) | Leader |
|---|---|---|---|
Vision | 4/5 | 25/42 | Qwen (Alibaba) |
Reasoning | 1/5 | 27/42 | Qwen (Alibaba) |
Function Calling | 5/5 | 40/42 | Qwen (Alibaba) |
JSON Mode | 0/5 | 41/42 | Qwen (Alibaba) |
Web Search | 0/5 | 0/42 | Tie |
Streaming | 5/5 | 42/42 | Qwen (Alibaba) |
Image Output | 0/5 | 0/42 | Tie |
Pricing Comparison
| Metric | Amazon | Qwen (Alibaba) |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.035 Nova Micro 1.0 | $0.030 Qwen3.7 Flash |
| Cheapest Output (per 1M tokens) | $0.140 | $0.130 |
| Most Expensive Input (per 1M tokens) | $2.50 Nova Premier 1.0 | $4.00 Qwen3.8 Max Prime |
| Most Expensive Output (per 1M tokens) | $12.50 | $12.00 |
| Free Models | 0 | 0 |
| Max Context Window | 1.0M | 1.0M |
All Amazon Models (5)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Nova 2 Lite | 40 | $0.300 | $2.50 |
| Nova Premier 1.0 | 40 | $2.50 | $12.50 |
| Nova Lite 1.0 | 40 | $0.060 | $0.240 |
| Nova Micro 1.0 | 40 | $0.035 | $0.140 |
| Nova Pro 1.0 | 40 | $0.800 | $3.20 |
All Qwen (Alibaba) Models (42)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Qwen3.5 397B A17B | 71 | $0.500 | $3.60 |
| Qwen3.5-122B-A10B | 70 | $0.260 | $2.08 |
| Qwen3.5-27B | 69 | $0.260 | $2.60 |
| Qwen3.5-35B-A3B | 69 | $0.140 | $1.00 |
| Qwen3.5-9B | 67 | $0.170 | $0.250 |
| Qwen3 235B A22B Thinking 2507 | 65 | $0.450 | $3.50 |
| Qwen3 235B A22B Instruct 2507 | 65 | $0.140 | $0.800 |
| Qwen3.8 Max Prime | 40 | $4.00 | $12.00 |
| Qwen3.8 Omni Flash | 40 | $0.150 | $0.470 |
| Qwen3.8 Max (0902) | 40 | $2.00 | $6.00 |
| Qwen3.8 Flash | 40 | $0.150 | $0.470 |
| Qwen3.8 27B | 40 | $0.150 | $1.88 |
| Qwen3.8 2.4T A95B | 40 | $2.00 | $6.00 |
| Qwen3.7 Flash | 40 | $0.030 | $0.130 |
| Qwen3.7 Plus | 40 | $0.320 | $1.28 |
| Qwen3.7 Plus (batch) | 40 | $0.230 | $0.920 |
| Qwen3.7 Max | 40 | $1.48 | $4.42 |
| Qwen3.5 Plus 2026-04-20 | 40 | $0.300 | $1.80 |
| Qwen3.6 Flash | 40 | $0.188 | $1.13 |
| Qwen3.6 35B A3B | 40 | $0.100 | $0.900 |
More Provider Comparisons
Compare any two AI providers side-by-side.
Amazon's concentrated portfolio (5 models averaging 43/100) reflects a closed-ecosystem approach optimized for AWS integration, while Qwen's 50-model spread includes 36 open-source options averaging 45/100. For production deployments, Amazon's narrow focus means simpler vendor lock-in decisions but limited flexibility, whereas Qwen's approach lets you self-host 72% of their models while still offering managed options like their top-performing Qwen3.5-Flash (60/100).
Amazon offers vision on 4 of 5 models (80% coverage) including Nova 2 Lite at 54/100, while Qwen provides vision on only 19 of 50 models (38% coverage) but includes their best performer Qwen3.5-Flash. Despite lower coverage, Qwen's open-source vision models let you avoid Amazon's $0.140-$12.50/M token pricing for multimodal tasks, though you'll sacrifice Amazon's superior function calling capabilities (5/5 vs 45/50).
Qwen's 36% lower entry price reflects their open-source strategy and 2 free-tier models, while Amazon's premium pricing starts at $0.140/M with no free options. For a typical workload processing 100M tokens monthly, choosing Qwen's cheapest option saves $5,000/month, or you could use their free models for development and testing before deploying their $4.16/M premium options that still undercut Amazon's top tier by 67%.
Despite identical 1M context limits, the reasoning gap is stark: Amazon scores just 1/5 on reasoning across all models while Qwen achieves reasoning capabilities on 24 of 50 models (48% coverage). This makes Qwen the clear choice for analytical workloads, especially with models like Qwen3.5-Flash combining 60/100 performance with reasoning support, versus Amazon's Nova 2 Lite (54/100) which lacks reasoning entirely.
Amazon's value proposition isn't performance (43/100 average vs Qwen's 45/100) but AWS integration and perfect 5/5 function calling across all models versus Qwen's 45/50 coverage. If you're already AWS-committed and need reliable function calling for production APIs, Amazon's premium pricing and 6-point performance deficit might be acceptable trade-offs compared to managing Qwen's sprawling 50-model portfolio.
Qwen's 50-model portfolio with 2 free options and prices from $0.090-$4.16/M enables cost-effective experimentation and gradual scale-up, while Amazon's 5-model lineup at $0.140-$12.50/M forces immediate production-pricing decisions. For startups, Qwen's free tier and 36 self-hostable models provide runway, but enterprises needing consistent function calling (Amazon 5/5 vs Qwen 45/50) and simplified procurement might accept Amazon's 89x smaller model selection.