| Signal | Qwen3 VL 30B A3B Instruct | Delta | Qwen3 VL 30B A3B Thinking |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 1 | -1 | |
Context window size | 81 | -- | |
Recency | 100 | -- | |
Output Capacity | 75 | -- | |
| Overall Result | 0 wins | of 5 | 2 wins |
8
days higher
3
days
19
days higher
Alibaba
Alibaba
Qwen3 VL 30B A3B Instruct saves you $52.00/month
That's $624.00/year compared to Qwen3 VL 30B A3B Thinking at your current usage level of 100K calls/month.
| Metric | Qwen3 VL 30B A3B Instruct | Qwen3 VL 30B A3B Thinking | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #191 | #190 | Qwen3 VL 30B A3B Thinking |
| Quality Rank | #191 | #190 | Qwen3 VL 30B A3B Thinking |
| Adoption Rank | #191 | #190 | Qwen3 VL 30B A3B Thinking |
| Parameters | 30B | 30B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.13/$0.52/M | $0.13/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3 VL 30B A3B Thinking |
| Pricing | 1 | 2 | Qwen3 VL 30B A3B Thinking |
| Context window size | 81 | 81 | Qwen3 VL 30B A3B Instruct |
| Recency | 100 | 100 | Qwen3 VL 30B A3B Instruct |
| Output Capacity | 75 | 75 | Qwen3 VL 30B A3B Instruct |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.
Scores 40/100 (rank #190), placing it in the top 35% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Qwen3 VL 30B A3B Instruct offers 62% better value per quality point. At 1M tokens/day, you'd spend $9.75/month with Qwen3 VL 30B A3B Instruct vs $25.35/month with Qwen3 VL 30B A3B Thinking - a $15.60 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
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 30B A3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.52/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Qwen3 VL 30B A3B Instruct and Qwen3 VL 30B A3B Thinking are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3 VL 30B A3B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 VL 30B A3B Instruct
62% lower pricing; better value at scale
Best for Reliability
Qwen3 VL 30B A3B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 VL 30B A3B Instruct
Stronger community support and better developer experience
Best for Production
Qwen3 VL 30B A3B Instruct
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3 VL 30B A3B Instruct | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen3 VL 30B A3B Instruct saves you $1.25/month
That's 59% cheaper than Qwen3 VL 30B A3B 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 | Qwen3 VL 30B A3B Instruct | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 32,768 | 32,768 |
| Open Source | Yes | Yes |
| Created | Oct 6, 2025 | Oct 6, 2025 |
Both Qwen3 VL 30B A3B Instruct and Qwen3 VL 30B A3B Thinking score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Qwen3 VL 30B A3B Instruct is ranked #191 and Qwen3 VL 30B A3B Thinking is ranked #190 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 VL 30B A3B Instruct is cheaper at $0.52/M output tokens vs Qwen3 VL 30B A3B Thinking's $1.56/M output tokens - 3.0x more expensive. Input token pricing: Qwen3 VL 30B A3B Instruct at $0.13/M vs Qwen3 VL 30B A3B Thinking at $0.13/M.
Qwen3 VL 30B A3B Instruct has a larger context window of 131,072 tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. A larger context window means the model can process longer documents and conversations.