| Signal | GPT-5.4 Nano | Delta | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 90 | +24 | |
Pricing | 99 | +1 | |
Context window size | 89 | +8 | |
Recency | 100 | +9 | |
Output Capacity | 85 | +10 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
79.3
current score
GPT-5.4 Nano
right now
67.7
current score
OpenAI
Alibaba
GPT-5.4 Nano saves you $73.50/month
That's $882.00/year compared to Qwen3 VL 235B A22B Thinking at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Overall Score | 79 | 68 | GPT-5.4 Nano |
| Rank | #42 | #112 | GPT-5.4 Nano |
| Quality Rank | #42 | #112 | GPT-5.4 Nano |
| Adoption Rank | #42 | #112 | GPT-5.4 Nano |
| Parameters | -- | 235B | -- |
| Context Window | 400K | 131K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.26/$2.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.4 Nano |
| Benchmarks | 90 | 66 | GPT-5.4 Nano |
| Pricing | 99 | 97 | GPT-5.4 Nano |
| Context window size | 89 | 81 | GPT-5.4 Nano |
| Recency | 100 | 91 | GPT-5.4 Nano |
| Output Capacity | 85 | 75 | GPT-5.4 Nano |
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 79/100 (rank #42), placing it in the top 86% of all 290 models tracked.
Scores 68/100 (rank #112), placing it in the top 62% of all 290 models tracked.
GPT-5.4 Nano has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 49% better value per quality point. At 1M tokens/day, you'd spend $21.75/month with GPT-5.4 Nano vs $42.90/month with Qwen3 VL 235B A22B Thinking - a $21.15 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. GPT-5.4 Nano 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 ($1.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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-5.4 Nano clearly outperforms Qwen3 VL 235B A22B Thinking with a significant 11.599999999999994-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, Qwen3 VL 235B A22B Thinking may still excel in niche scenarios.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4 Nano
49% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
GPT-5.4 Nano saves you $1.73/month
That's 48% cheaper than Qwen3 VL 235B A22B Thinking 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-5.4 Nano | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | Yes |
| Created | Mar 17, 2026 | Sep 23, 2025 |