| Signal | GPT-5.2 Chat | Delta | Qwen3.5-27B |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 77 | +0 | |
Pricing | 86 | -12 | |
Context window size | 81 | -5 | |
Recency | 100 | -- | |
Output Capacity | 75 | -5 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
76.6
current score
Qwen3.5-27B
right now
76.8
current score
OpenAI
Alibaba
Qwen3.5-27B saves you $777.50/month
That's $9330.00/year compared to GPT-5.2 Chat at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Chat | Qwen3.5-27B | Winner |
|---|---|---|---|
| Overall Score | 77 | 77 | Qwen3.5-27B |
| Rank | #54 | #53 | Qwen3.5-27B |
| Quality Rank | #54 | #53 | Qwen3.5-27B |
| Adoption Rank | #54 | #53 | Qwen3.5-27B |
| Parameters | -- | 27B | -- |
| Context Window | 128K | 262K | Qwen3.5-27B |
| Pricing | $1.75/$14.00/M | $0.20/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-27B |
| Benchmarks | 77 | 77 | GPT-5.2 Chat |
| Pricing | 86 | 98 | Qwen3.5-27B |
| Context window size | 81 | 86 | Qwen3.5-27B |
| Recency | 100 | 100 | GPT-5.2 Chat |
| Output Capacity | 75 | 80 | Qwen3.5-27B |
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 77/100 (rank #54), placing it in the top 82% of all 290 models tracked.
Scores 77/100 (rank #53), placing it in the top 82% of all 290 models tracked.
With only a 0-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.
Qwen3.5-27B offers 89% better value per quality point. At 1M tokens/day, you'd spend $26.33/month with Qwen3.5-27B vs $236.25/month with GPT-5.2 Chat - a $209.93 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. Qwen3.5-27B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.56/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (77/100) 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-5.2 Chat and Qwen3.5-27B are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.2 Chat
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-27B
89% lower pricing; better value at scale
Best for Reliability
GPT-5.2 Chat
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Chat
Stronger community support and better developer experience
Best for Production
GPT-5.2 Chat
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 Chat | Qwen3.5-27B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-27B saves you $17.73/month
That's 89% cheaper than GPT-5.2 Chat 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-5.2 Chat | Qwen3.5-27B |
|---|---|---|
| Context Window | 128K | 262K |
| Max Output Tokens | 32,000 | 65,536 |
| Open Source | No | Yes |
| Created | Dec 10, 2025 | Feb 25, 2026 |