| Signal | Qwen3.5 Plus 2026-02-15 | Delta | Qwen3 VL 30B A3B Thinking |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 2 | -- | |
Context window size | 95 | +14 | |
Recency | 100 | -- | |
Output Capacity | 80 | +5 | |
| Overall Result | 2 wins | of 5 | 0 wins |
9
days ranked higher
5
days
16
days ranked higher
Alibaba
Alibaba
Qwen3 VL 30B A3B Thinking saves you $13.00/month
That's $156.00/year compared to Qwen3.5 Plus 2026-02-15 at your current usage level of 100K calls/month.
| Metric | Qwen3.5 Plus 2026-02-15 | Qwen3 VL 30B A3B Thinking | Winner |
|---|---|---|---|
| Overall Score | 85 | 85 | -- |
| Rank | #30 | #42 | Qwen3.5 Plus 2026-02-15 |
| Quality Rank | #30 | #42 | Qwen3.5 Plus 2026-02-15 |
| Adoption Rank | #30 | #42 | Qwen3.5 Plus 2026-02-15 |
| Parameters | -- | 30B | -- |
| Context Window | 1000K | 131K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $0.26/$1.56/M | $0.13/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Qwen3.5 Plus 2026-02-15 |
| Pricing | 2 | 2 | Qwen3.5 Plus 2026-02-15 |
| Context window size | 95 | 81 | Qwen3.5 Plus 2026-02-15 |
| Recency | 100 | 100 | Qwen3.5 Plus 2026-02-15 |
| Output Capacity | 80 | 75 | Qwen3.5 Plus 2026-02-15 |
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 85/100 (rank #30), placing it in the top 90% of all 290 models tracked.
Scores 85/100 (rank #42), placing it in the top 86% 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 Thinking offers 7% better value per quality point. At 1M tokens/day, you'd spend $25.35/month with Qwen3 VL 30B A3B Thinking vs $27.30/month with Qwen3.5 Plus 2026-02-15 - a $1.95 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. Qwen3.5 Plus 2026-02-15 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.56/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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
Qwen3.5 Plus 2026-02-15 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
Qwen3.5 Plus 2026-02-15
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 VL 30B A3B Thinking
7% lower pricing; better value at scale
Best for Reliability
Qwen3.5 Plus 2026-02-15
Higher uptime and faster response speeds
Best for Prototyping
Qwen3.5 Plus 2026-02-15
Stronger community support and better developer experience
Best for Production
Qwen3.5 Plus 2026-02-15
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3.5 Plus 2026-02-15 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen3 VL 30B A3B Thinking saves you $0.2340/month
That's 10% cheaper than Qwen3.5 Plus 2026-02-15 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 | Qwen3.5 Plus 2026-02-15 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Context Window | 1M | 131K |
| Max Output Tokens | 65,536 | 32,768 |
| Open Source | No | Yes |
| Created | Feb 16, 2026 | Oct 6, 2025 |
Both Qwen3.5 Plus 2026-02-15 and Qwen3 VL 30B A3B Thinking score 85/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Qwen3.5 Plus 2026-02-15 is ranked #30 and Qwen3 VL 30B A3B Thinking is ranked #42 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.
Qwen3.5 Plus 2026-02-15 is cheaper at $1.56/M output tokens vs Qwen3 VL 30B A3B Thinking's $1.56/M output tokens - 1.0x more expensive. Input token pricing: Qwen3.5 Plus 2026-02-15 at $0.26/M vs Qwen3 VL 30B A3B Thinking at $0.13/M.
Qwen3.5 Plus 2026-02-15 has a larger context window of 1,000,000 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.