| Signal | GPT-5.2 Pro | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 89 | +89 | |
Pricing | 100 | +98 | |
Context window size | 89 | -6 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
29
days ranked higher
1
days
0
days ranked higher
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $10396.00/month
That's $124752.00/year compared to GPT-5.2 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Pro | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 93 | 85 | GPT-5.2 Pro |
| Rank | #4 | #30 | GPT-5.2 Pro |
| Quality Rank | #4 | #30 | GPT-5.2 Pro |
| Adoption Rank | #4 | #30 | GPT-5.2 Pro |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $21.00/$168.00/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.2 Pro |
| Benchmarks | 89 | -- | GPT-5.2 Pro |
| Pricing | 100 | 2 | GPT-5.2 Pro |
| Context window size | 89 | 95 | Qwen3.5 Plus 2026-02-15 |
| Recency | 100 | 100 | GPT-5.2 Pro |
| Output Capacity | 85 | 80 | GPT-5.2 Pro |
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 93/100 (rank #4), placing it in the top 99% of all 290 models tracked.
Scores 85/100 (rank #30), placing it in the top 90% of all 290 models tracked.
GPT-5.2 Pro has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5 Plus 2026-02-15 offers 99% better value per quality point. At 1M tokens/day, you'd spend $27.30/month with Qwen3.5 Plus 2026-02-15 vs $2835.00/month with GPT-5.2 Pro - a $2807.70 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 Plus 2026-02-15 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K 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 (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-5.2 Pro has a moderate advantage with a 7.700000000000003-point lead in composite score. It wins on more signal dimensions, but Qwen3.5 Plus 2026-02-15 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5.2 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 Plus 2026-02-15
99% lower pricing; better value at scale
Best for Reliability
GPT-5.2 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Pro
Stronger community support and better developer experience
Best for Production
GPT-5.2 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 Pro | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $237.06/month
That's 99% cheaper than GPT-5.2 Pro 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 Pro | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Dec 10, 2025 | Feb 16, 2026 |
GPT-5.2 Pro scores 93/100 (rank #4) compared to Qwen3.5 Plus 2026-02-15's 85/100 (rank #30), giving it a 8-point advantage. GPT-5.2 Pro is the stronger overall choice, though Qwen3.5 Plus 2026-02-15 may excel in specific areas like cost efficiency.
GPT-5.2 Pro is ranked #4 and Qwen3.5 Plus 2026-02-15 is ranked #30 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 Plus 2026-02-15 is cheaper at $1.56/M output tokens vs GPT-5.2 Pro's $168.00/M output tokens - 107.7x more expensive. Input token pricing: GPT-5.2 Pro at $21.00/M vs Qwen3.5 Plus 2026-02-15 at $0.26/M.
Qwen3.5 Plus 2026-02-15 has a larger context window of 1,000,000 tokens compared to GPT-5.2 Pro's 400,000 tokens. A larger context window means the model can process longer documents and conversations.