| Signal | GPT-5.4 Nano | Delta | Qwen3.5-27B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 90 | +14 | |
Pricing | 99 | +0 | |
Context window size | 89 | +3 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 5 wins | of 6 | 0 wins |
Score History
79.3
current score
GPT-5.4 Nano
right now
76.9
current score
OpenAI
Alibaba
GPT-5.4 Nano saves you $15.00/month
That's $180.00/year compared to Qwen3.5-27B at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Qwen3.5-27B | Winner |
|---|---|---|---|
| Overall Score | 79 | 77 | GPT-5.4 Nano |
| Rank | #42 | #55 | GPT-5.4 Nano |
| Quality Rank | #42 | #55 | GPT-5.4 Nano |
| Adoption Rank | #42 | #55 | GPT-5.4 Nano |
| Parameters | -- | 27B | -- |
| Context Window | 400K | 262K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.20/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.4 Nano |
| Benchmarks | 90 | 77 | GPT-5.4 Nano |
| Pricing | 99 | 98 | GPT-5.4 Nano |
| Context window size | 89 | 86 | GPT-5.4 Nano |
| Recency | 100 | 100 | GPT-5.4 Nano |
| Output Capacity | 85 | 80 | GPT-5.4 Nano |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 79/100 (rank #42), placing it in the top 86% of all 290 models tracked.
Scores 77/100 (rank #55), placing it in the top 81% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
GPT-5.4 Nano offers 17% better value per quality point. At 1M tokens/day, you'd spend $21.75/month with GPT-5.4 Nano vs $26.33/month with Qwen3.5-27B - a $4.58 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-5.4 Nano 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 ($1.25/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
GPT-5.4 Nano and Qwen3.5-27B are extremely close in overall performance (only 2.3999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4 Nano
17% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | Qwen3.5-27B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
GPT-5.4 Nano saves you $0.3630/month
That's 16% cheaper than Qwen3.5-27B 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-5.4 Nano | Qwen3.5-27B |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | Yes |
| Created | Mar 17, 2026 | Feb 25, 2026 |