| Signal | GPT-5.5 | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 93 | +12 | |
Pricing | 70 | -28 | |
Context window size | 96 | +10 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
92.7
current score
GPT-5.5
right now
79.6
current score
OpenAI
Alibaba
Qwen3.5 397B A17B saves you $1844.00/month
That's $22128.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.
| Metric | GPT-5.5 | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 93 | 80 | GPT-5.5 |
| Rank | #2 | #43 | GPT-5.5 |
| Quality Rank | #2 | #43 | GPT-5.5 |
| Adoption Rank | #2 | #43 | GPT-5.5 |
| Parameters | -- | 397B | -- |
| Context Window | 1050K | 262K | GPT-5.5 |
| Pricing | $5.00/$30.00/M | $0.39/$2.34/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.5 |
| Benchmarks | 93 | 81 | GPT-5.5 |
| Pricing | 70 | 98 | Qwen3.5 397B A17B |
| Context window size | 96 | 86 | GPT-5.5 |
| Recency | 100 | 100 | GPT-5.5 |
| Output Capacity | 85 | 80 | GPT-5.5 |
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 93/100 (rank #2), placing it in the top 100% of all 290 models tracked.
Scores 80/100 (rank #43), placing it in the top 86% of all 290 models tracked.
GPT-5.5 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5 397B A17B offers 92% better value per quality point. At 1M tokens/day, you'd spend $40.95/month with Qwen3.5 397B A17B vs $525.00/month with GPT-5.5 - a $484.05 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 397B A17B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (93/100) 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-5.5 clearly outperforms Qwen3.5 397B A17B with a significant 13.100000000000009-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, Qwen3.5 397B A17B may still excel in niche scenarios.
Best for Quality
GPT-5.5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 397B A17B
92% lower pricing; better value at scale
Best for Reliability
GPT-5.5
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.5
Stronger community support and better developer experience
Best for Production
GPT-5.5
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.5 | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5 397B A17B saves you $41.49/month
That's 92% cheaper than GPT-5.5 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-5.5 | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 1.1M | 262K |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | Yes |
| Created | Apr 24, 2026 | Feb 16, 2026 |