| Signal | GPT-5.4 Nano | Delta | Qwen3.5-35B-A3B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 90 | +15 | |
Pricing | 99 | 0 | |
Context window size | 89 | +3 | |
Recency | 100 | -- | |
Output Capacity | 85 | +3 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
79.3
current score
GPT-5.4 Nano
right now
76
current score
OpenAI
Alibaba
Qwen3.5-35B-A3B saves you $18.50/month
That's $222.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Qwen3.5-35B-A3B | Winner |
|---|---|---|---|
| Overall Score | 79 | 76 | GPT-5.4 Nano |
| Rank | #42 | #59 | GPT-5.4 Nano |
| Quality Rank | #42 | #59 | GPT-5.4 Nano |
| Adoption Rank | #42 | #59 | GPT-5.4 Nano |
| Parameters | -- | 35B | -- |
| Context Window | 400K | 262K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.14/$1.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.4 Nano |
| Benchmarks | 90 | 76 | GPT-5.4 Nano |
| Pricing | 99 | 99 | Qwen3.5-35B-A3B |
| Context window size | 89 | 86 | GPT-5.4 Nano |
| Recency | 100 | 100 | GPT-5.4 Nano |
| Output Capacity | 85 | 82 | 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 76/100 (rank #59), placing it in the top 80% of all 290 models tracked.
With only a 3-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.
Qwen3.5-35B-A3B offers 21% better value per quality point. At 1M tokens/day, you'd spend $17.10/month with Qwen3.5-35B-A3B vs $21.75/month with GPT-5.4 Nano - a $4.65 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. Qwen3.5-35B-A3B 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 ($1.00/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 has a moderate advantage with a 3.299999999999997-point lead in composite score. It wins on more signal dimensions, but Qwen3.5-35B-A3B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-35B-A3B
21% 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 | Qwen3.5-35B-A3B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-35B-A3B saves you $0.4080/month
That's 22% cheaper than GPT-5.4 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-5.4 Nano | Qwen3.5-35B-A3B |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 81,920 |
| Open Source | No | Yes |
| Created | Mar 17, 2026 | Feb 25, 2026 |