GPT-5.2 vs Qwen3 VL 235B A22B Instruct
| Signal | GPT-5.2 | Delta | Qwen3 VL 235B A22B Instruct |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 89 | +21 | |
Pricing | 86 | -12 | |
Context window size | 89 | +3 | |
Recency | 81 | +14 | |
Output Capacity | 82 | +9 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
90.5
current score
GPT-5.2
right now
69.3
current score
GPT-5.2
OpenAI
Qwen3 VL 235B A22B Instruct
Alibaba
Qwen3 VL 235B A22B Instruct saves you $759.00/month
That's $9108.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | GPT-5.2 | Qwen3 VL 235B A22B Instruct | Winner |
|---|---|---|---|
| Overall Score | 91 | 69 | GPT-5.2 |
| Rank | #27 | #170 | GPT-5.2 |
| Quality Rank | #27 | #170 | GPT-5.2 |
| Adoption Rank | #27 | #170 | GPT-5.2 |
| Parameters | -- | 235B | -- |
| Context Window | 400K | 262K | GPT-5.2 |
| Pricing | $1.75/$14.00/M | $0.21/$1.90/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.2 |
| Benchmarks | 89 | 69 | GPT-5.2 |
| Pricing | 86 | 98 | Qwen3 VL 235B A22B Instruct |
| Context window size | 89 | 86 | GPT-5.2 |
| Recency | 81 | 67 | GPT-5.2 |
| Output Capacity | 82 | 72 | GPT-5.2 |
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 91/100 (rank #27), placing it in the top 91% of all 290 models tracked.
Scores 69/100 (rank #170), placing it in the top 42% of all 290 models tracked.
GPT-5.2 has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.2 when you need:
- Processing long documents or large codebases (400K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3 VL 235B A22B Instruct when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Qwen3 VL 235B A22B Instruct offers 87% better value per quality point. At 1M tokens/day, you'd spend $31.65/month with Qwen3 VL 235B A22B Instruct vs $236.25/month with GPT-5.2 - a $204.60 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 VL 235B A22B Instruct 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 ($1.90/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (91/100) 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 Qwen3 VL 235B A22B Instruct with a significant 21.200000000000003-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Qwen3 VL 235B A22B Instruct may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.2
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 VL 235B A22B Instruct
87% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-5.2 | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.2
OpenAI
Qwen3 VL 235B A22B Instruct
Alibaba
Qwen3 VL 235B A22B Instruct saves you $17.29/month
That's 87% 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 | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | Yes |
| Created | Dec 10, 2025 | Sep 23, 2025 |