| Signal | GPT-5.2 | Delta | Qwen Plus 0728 (thinking) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 89 | +89 | |
Pricing | 14 | +13 | |
Context window size | 89 | -6 | |
Recency | 100 | +3 | |
Output Capacity | 85 | +10 | |
| Overall Result | 5 wins | of 6 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
Qwen Plus 0728 (thinking) saves you $810.00/month
That's $9720.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | GPT-5.2 | Qwen Plus 0728 (thinking) | Winner |
|---|---|---|---|
| Overall Score | 93 | 83 | GPT-5.2 |
| Rank | #5 | #57 | GPT-5.2 |
| Quality Rank | #5 | #57 | GPT-5.2 |
| Adoption Rank | #5 | #57 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Qwen Plus 0728 (thinking) |
| Pricing | $1.75/$14.00/M | $0.26/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.2 |
| Benchmarks | 89 | -- | GPT-5.2 |
| Pricing | 14 | 1 | GPT-5.2 |
| Context window size | 89 | 95 | Qwen Plus 0728 (thinking) |
| Recency | 100 | 97 | GPT-5.2 |
| Output Capacity | 85 | 75 | GPT-5.2 |
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 #5), placing it in the top 99% of all 290 models tracked.
Scores 83/100 (rank #57), placing it in the top 81% of all 290 models tracked.
GPT-5.2 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen Plus 0728 (thinking) offers 93% better value per quality point. At 1M tokens/day, you'd spend $15.60/month with Qwen Plus 0728 (thinking) vs $236.25/month with GPT-5.2 - a $220.65 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
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. Qwen Plus 0728 (thinking) 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 ($0.78/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 clearly outperforms Qwen Plus 0728 (thinking) with a significant 10.100000000000009-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Qwen Plus 0728 (thinking) may still excel in niche scenarios.
Best for Quality
GPT-5.2
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen Plus 0728 (thinking)
93% lower pricing; better value at scale
Best for Reliability
GPT-5.2
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2
Stronger community support and better developer experience
Best for Production
GPT-5.2
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 | Qwen Plus 0728 (thinking) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen Plus 0728 (thinking) saves you $18.55/month
That's 93% cheaper than GPT-5.2 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 | Qwen Plus 0728 (thinking) |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | No |
| Created | Dec 10, 2025 | Sep 8, 2025 |
GPT-5.2 scores 93/100 (rank #5) compared to Qwen Plus 0728 (thinking)'s 83/100 (rank #57), giving it a 10-point advantage. GPT-5.2 is the stronger overall choice, though Qwen Plus 0728 (thinking) may excel in specific areas like cost efficiency.
GPT-5.2 is ranked #5 and Qwen Plus 0728 (thinking) is ranked #57 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.
Qwen Plus 0728 (thinking) is cheaper at $0.78/M output tokens vs GPT-5.2's $14.00/M output tokens - 17.9x more expensive. Input token pricing: GPT-5.2 at $1.75/M vs Qwen Plus 0728 (thinking) at $0.26/M.
Qwen Plus 0728 (thinking) has a larger context window of 1,000,000 tokens compared to GPT-5.2's 400,000 tokens. A larger context window means the model can process longer documents and conversations.