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Amazon vs Qwen (Alibaba)

Amazon (5 models) vs Qwen (Alibaba) (49 models) - compared across composite scores, pricing, capabilities, and context windows.

Models
5
Avg Score
44
Top Model
Score: 61
Price Range
$0.140 - $12.50
per 1M output tokens
1.0M max context

Qwen (Alibaba)

View all models
Models
49
Avg Score
56
Top Model
Score: 81
Price Range
$0.130 - $6.16
per 1M output tokens
32 open source1.0M max context

Head-to-Head: Amazon vs Qwen (Alibaba) Model Matchups

Capability Comparison

CapabilityAmazonQwen (Alibaba)Leader
Vision
4/523/49Qwen (Alibaba)
Reasoning
1/530/49Qwen (Alibaba)
Function Calling
5/547/49Qwen (Alibaba)
JSON Mode
0/548/49Qwen (Alibaba)
Web Search
0/50/49Tie
Streaming
5/549/49Qwen (Alibaba)
Image Output
0/50/49Tie

Pricing Comparison

MetricAmazonQwen (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
$2.00
Qwen3.6 Max Preview
Most Expensive Output (per 1M tokens)$12.50$6.16
Free Models00
Max Context Window1.0M1.0M

All Amazon Models (5)

ModelScoreInput $/MOutput $/M
Nova 2 Lite61$0.300$2.50
Nova Premier 1.040$2.50$12.50
Nova Lite 1.040$0.060$0.240
Nova Micro 1.040$0.035$0.140
Nova Pro 1.040$0.800$3.20

All Qwen (Alibaba) Models (49)

ModelScoreInput $/MOutput $/M
Qwen3.8 Max81$2.00$6.00
Qwen3.5 397B A17B79$0.390$2.34
Qwen3.5-122B-A10B78$0.290$2.40
Qwen3.5-27B77$0.195$1.56
Qwen3.5-35B-A3B76$0.140$1.00
Qwen3.7 Plus76$0.320$1.28
Qwen3.7 Max75$1.48$4.42
Qwen3.5 Plus 2026-04-2075$0.300$1.80
Qwen3.6 Max Preview75$1.03$6.16
Qwen3.6 Plus74$0.325$1.95
Qwen3 VL 235B A22B Thinking69$0.400$4.00
Qwen3 VL 235B A22B Instruct69$0.210$1.90
Qwen3.5-Flash69$0.065$0.260
Qwen3.5 Plus 2026-02-1568$0.260$1.56
Qwen3 Max Thinking68$0.780$3.90
Qwen3 Max67$0.780$3.90
Qwen3 Next 80B A3B Thinking67$0.150$1.20
Qwen3 Next 80B A3B Instruct67$0.090$1.10
Qwen3.5-9B67$0.100$0.150
Qwen3 235B A22B Thinking 250766$0.230$2.30
Frequently Asked Questions

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.

Amazon vs Qwen (Alibaba) - AI Provider Comparison (2026) | LM Market Cap