Qwen3 VL 30B A3B Instruct is $29.87 cheaper per 1M input tokens (99.6% lower; 230.8x difference).
API cost decision in 10 seconds
Qwen3 VL 30B A3B Instruct vs GPT-5.5 Pro
Pick Qwen3 VL 30B A3B Instruct for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 VL 30B A3B Instruct for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $120 for GPT-5.5 Pro, saving $119.61 (99.7% lower).
Cost-first pickQwen3 VL 30B A3B Instruct
Context-first pickGPT-5.5 Pro
Sample savings$119.6199.7%
10x traffic gap$1196.1
GPT-5.5 Pro has more context, but Qwen3 VL 30B A3B Instruct saves $119.61 on the standard workload. At 10x that traffic, the same price gap is about $1196.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 VL 30B A3B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 VL 30B A3B Instruct | GPT-5.5 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 VL 30B A3B Instruct | $0.91 | $240 |
| Balanced workload | 1M input + 1M output | Qwen3 VL 30B A3B Instruct | $0.65 | $210 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 VL 30B A3B Instruct | $2.73 | $930 |
Qwen3 VL 30B A3B Instruct is $179.48 cheaper per 1M output tokens (99.7% lower; 346.2x difference).
GPT-5.5 Pro has 787.86K more context (4.01x larger).
Qwen3 VL 30B A3B Instruct is $119.61 cheaper on the standard workload (99.7% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3 VL 30B A3B Instruct has the lower input price; Qwen3 VL 30B A3B Instruct has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 30B A3B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Qwen3 VL 30B A3B Instruct and $120 for GPT-5.5 Pro.
Choose Qwen3 VL 30B A3B Instruct when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $120 for GPT-5.5 Pro, saving $119.61 (99.7% lower).
- Qwen3 VL 30B A3B Instruct is $119.61 cheaper on the standard workload (99.7% lower).
- Qwen3 VL 30B A3B Instruct is $29.87 cheaper per 1M input tokens (99.6% lower; 230.8x difference).
- Qwen3 VL 30B A3B Instruct is $179.48 cheaper per 1M output tokens (99.7% lower; 346.2x difference).
- GPT-5.5 Pro has 787.86K more context (4.01x larger).
| Feature | Qwen3 VL 30B A3B Instruct (Qwen) | GPT-5.5 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.13 | $30 |
| Completion Price per 1M tokens | $0.52 | $180 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $120 |
| Context Window | 262.14K | 1.05M |
| Release Date | ||
| Popularity | #116 | #122 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 VL 30B A3B Instruct | On the standard 1M input plus 500K output workload, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $120 for GPT-5.5 Pro, saving $119.61 (99.7% lower). |
| High-volume input processing | Qwen3 VL 30B A3B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 VL 30B A3B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsQwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...