| Signal | Nova 2 Lite | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 58 | -8 | |
Pricing | 3 | +2 | |
Context window size | 95 | -- | |
Recency | 100 | -- | |
Output Capacity | 80 | -- | |
| Overall Result | 1 wins | of 6 | 2 wins |
0
days ranked higher
0
days
30
days ranked higher
Amazon
Alibaba
Qwen3.5-Flash saves you $135.50/month
That's $1626.00/year compared to Nova 2 Lite at your current usage level of 100K calls/month.
| Metric | Nova 2 Lite | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 73 | 79 | Qwen3.5-Flash |
| Rank | #132 | #80 | Qwen3.5-Flash |
| Quality Rank | #132 | #80 | Qwen3.5-Flash |
| Adoption Rank | #132 | #80 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1000K | -- |
| Pricing | $0.30/$2.50/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Benchmarks | 58 | 67 | Qwen3.5-Flash |
| Pricing | 3 | 0 | Nova 2 Lite |
| Context window size | 95 | 95 | Nova 2 Lite |
| Recency | 100 | 100 | Nova 2 Lite |
| Output Capacity | 80 | 80 | Nova 2 Lite |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 73/100 (rank #132), placing it in the top 55% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
Qwen3.5-Flash has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 88% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $42.00/month with Nova 2 Lite - a $37.13 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3.5-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3.5-Flash has a moderate advantage with a 6.700000000000003-point lead in composite score. It wins on more signal dimensions, but Nova 2 Lite has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Nova 2 Lite
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
88% lower pricing; better value at scale
Best for Reliability
Nova 2 Lite
Higher uptime and faster response speeds
Best for Prototyping
Nova 2 Lite
Stronger community support and better developer experience
Best for Production
Nova 2 Lite
Wider enterprise adoption and proven at scale
by Amazon
| Capability | Nova 2 Lite | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Amazon
Alibaba
Qwen3.5-Flash saves you $3.11/month
That's 88% cheaper than Nova 2 Lite at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Nova 2 Lite | Qwen3.5-Flash |
|---|---|---|
| Context Window | 1M | 1M |
| Max Output Tokens | 65,535 | 65,536 |
| Open Source | No | No |
| Created | Dec 2, 2025 | Feb 25, 2026 |
Qwen3.5-Flash scores 79/100 (rank #80) compared to Nova 2 Lite's 73/100 (rank #132), giving it a 7-point advantage. Qwen3.5-Flash is the stronger overall choice, though Nova 2 Lite may excel in specific areas like certain benchmarks.
Nova 2 Lite is ranked #132 and Qwen3.5-Flash is ranked #80 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen3.5-Flash is cheaper at $0.26/M output tokens vs Nova 2 Lite's $2.50/M output tokens - 9.6x more expensive. Input token pricing: Nova 2 Lite at $0.30/M vs Qwen3.5-Flash at $0.07/M.
Nova 2 Lite has a larger context window of 1,000,000 tokens compared to Qwen3.5-Flash's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.