| Signal | GPT-5 Pro | Delta | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 100 | +97 | |
Context window size | 89 | +8 | |
Recency | 100 | -- | |
Output Capacity | 85 | +10 | |
| Overall Result | 4 wins | of 5 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
Qwen3 VL 235B A22B Thinking saves you $7344.00/month
That's $88128.00/year compared to GPT-5 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5 Pro | Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Overall Score | 96 | 85 | GPT-5 Pro |
| Rank | #14 | #54 | GPT-5 Pro |
| Quality Rank | #14 | #54 | GPT-5 Pro |
| Adoption Rank | #14 | #54 | GPT-5 Pro |
| Parameters | -- | 235B | -- |
| Context Window | 400K | 131K | GPT-5 Pro |
| Pricing | $15.00/$120.00/M | $0.26/$2.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5 Pro |
| Pricing | 100 | 3 | GPT-5 Pro |
| Context window size | 89 | 81 | GPT-5 Pro |
| Recency | 100 | 100 | GPT-5 Pro |
| Output Capacity | 85 | 75 | GPT-5 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 96/100 (rank #14), placing it in the top 96% of all 290 models tracked.
Scores 85/100 (rank #54), placing it in the top 82% of all 290 models tracked.
GPT-5 Pro has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3 VL 235B A22B Thinking offers 98% better value per quality point. At 1M tokens/day, you'd spend $42.90/month with Qwen3 VL 235B A22B Thinking vs $2025.00/month with GPT-5 Pro — a $1982.10 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 VL 235B A22B Thinking 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 ($2.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (96/100) 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 Pro clearly outperforms Qwen3 VL 235B A22B Thinking with a significant 10.5-point lead. For most general use cases, GPT-5 Pro is the stronger choice. However, Qwen3 VL 235B A22B Thinking may still excel in niche scenarios.
Best for Quality
GPT-5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 VL 235B A22B Thinking
98% lower pricing; better value at scale
Best for Reliability
GPT-5 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Pro
Stronger community support and better developer experience
Best for Production
GPT-5 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Pro | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3 VL 235B A22B Thinking saves you $167.41/month
That's 98% cheaper than GPT-5 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 Pro | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | Yes |
| Created | Oct 6, 2025 | Sep 23, 2025 |
GPT-5 Pro scores 96/100 (rank #14) compared to Qwen3 VL 235B A22B Thinking's 85/100 (rank #54), giving it a 11-point advantage. GPT-5 Pro is the stronger overall choice, though Qwen3 VL 235B A22B Thinking may excel in specific areas like cost efficiency.
GPT-5 Pro is ranked #14 and Qwen3 VL 235B A22B Thinking is ranked #54 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 VL 235B A22B Thinking is cheaper at $2.60/M output tokens vs GPT-5 Pro's $120.00/M output tokens — 46.2x more expensive. Input token pricing: GPT-5 Pro at $15.00/M vs Qwen3 VL 235B A22B Thinking at $0.26/M.
GPT-5 Pro has a larger context window of 400,000 tokens compared to Qwen3 VL 235B A22B Thinking's 131,072 tokens. A larger context window means the model can process longer documents and conversations.