| Signal | GPT-5 Nano | Delta | Qwen3.5-9B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 0 | +0 | |
Context window size | 89 | +3 | |
Recency | 93 | -7 | |
Output Capacity | 85 | +65 | |
| Overall Result | 4 wins | of 5 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
Qwen3.5-9B saves you $12.50/month
That's $150.00/year compared to GPT-5 Nano at your current usage level of 100K calls/month.
| Metric | GPT-5 Nano | Qwen3.5-9B | Winner |
|---|---|---|---|
| Overall Score | 94 | 78 | GPT-5 Nano |
| Rank | #19 | #85 | GPT-5 Nano |
| Quality Rank | #19 | #85 | GPT-5 Nano |
| Adoption Rank | #19 | #85 | GPT-5 Nano |
| Parameters | -- | 9B | -- |
| Context Window | 400K | 256K | GPT-5 Nano |
| Pricing | $0.05/$0.40/M | $0.05/$0.15/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5 Nano |
| Pricing | 0 | 0 | GPT-5 Nano |
| Context window size | 89 | 86 | GPT-5 Nano |
| Recency | 93 | 100 | Qwen3.5-9B |
| Output Capacity | 85 | 20 | GPT-5 Nano |
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 94/100 (rank #19), placing it in the top 94% of all 290 models tracked.
Scores 78/100 (rank #85), placing it in the top 71% of all 290 models tracked.
GPT-5 Nano has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-9B offers 56% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Qwen3.5-9B vs $6.75/month with GPT-5 Nano — a $3.75 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. Qwen3.5-9B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (94/100) 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
GPT-5 Nano clearly outperforms Qwen3.5-9B with a significant 16.39999999999999-point lead. For most general use cases, GPT-5 Nano is the stronger choice. However, Qwen3.5-9B may still excel in niche scenarios.
Best for Quality
GPT-5 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-9B
56% lower pricing; better value at scale
Best for Reliability
GPT-5 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Nano
Stronger community support and better developer experience
Best for Production
GPT-5 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Nano | Qwen3.5-9B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-9B saves you $0.3000/month
That's 53% cheaper than GPT-5 Nano 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 | GPT-5 Nano | Qwen3.5-9B |
|---|---|---|
| Context Window | 400K | 256K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Mar 10, 2026 |
GPT-5 Nano scores 94/100 (rank #19) compared to Qwen3.5-9B's 78/100 (rank #85), giving it a 16-point advantage. GPT-5 Nano is the stronger overall choice, though Qwen3.5-9B may excel in specific areas like cost efficiency.
GPT-5 Nano is ranked #19 and Qwen3.5-9B is ranked #85 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.
Qwen3.5-9B is cheaper at $0.15/M output tokens vs GPT-5 Nano's $0.40/M output tokens — 2.7x more expensive. Input token pricing: GPT-5 Nano at $0.05/M vs Qwen3.5-9B at $0.05/M.
GPT-5 Nano has a larger context window of 400,000 tokens compared to Qwen3.5-9B's 256,000 tokens. A larger context window means the model can process longer documents and conversations.