| Signal | Qwen-Turbo | Delta | Qwen VL Plus |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | 0 | |
Context window size | 81 | -- | |
Recency | 56 | -1 | |
Output Capacity | 65 | -- | |
| Overall Result | 0 wins | of 5 | 2 wins |
6
days higher
4
days
20
days higher
Alibaba
Alibaba
Qwen-Turbo saves you $24.38/month
That's $292.50/year compared to Qwen VL Plus at your current usage level of 100K calls/month.
| Metric | Qwen-Turbo | Qwen VL Plus | Winner |
|---|---|---|---|
| Overall Score | 60 | 61 | Qwen VL Plus |
| Rank | #225 | #224 | Qwen VL Plus |
| Quality Rank | #225 | #224 | Qwen VL Plus |
| Adoption Rank | #225 | #224 | Qwen VL Plus |
| Parameters | -- | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.03/$0.13/M | $0.14/$0.41/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Qwen-Turbo |
| Pricing | 0 | 0 | Qwen VL Plus |
| Context window size | 81 | 81 | Qwen-Turbo |
| Recency | 56 | 57 | Qwen VL Plus |
| Output Capacity | 65 | 65 | Qwen-Turbo |
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 60/100 (rank #225), placing it in the top 23% of all 290 models tracked.
Scores 61/100 (rank #224), placing it in the top 23% 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.
Qwen-Turbo offers 70% better value per quality point. At 1M tokens/day, you'd spend $2.44/month with Qwen-Turbo vs $8.19/month with Qwen VL Plus - a $5.75 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. Qwen-Turbo 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 ($0.13/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) 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
Qwen-Turbo and Qwen VL Plus are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen-Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen-Turbo
70% lower pricing; better value at scale
Best for Reliability
Qwen-Turbo
Higher uptime and faster response speeds
Best for Prototyping
Qwen-Turbo
Stronger community support and better developer experience
Best for Production
Qwen-Turbo
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen-Turbo | Qwen VL Plus |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen-Turbo saves you $0.5226/month
That's 71% cheaper than Qwen VL Plus 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 | Qwen-Turbo | Qwen VL Plus |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 8,192 | 8,192 |
| Open Source | No | No |
| Created | Feb 1, 2025 | Feb 5, 2025 |
Qwen VL Plus scores 61/100 (rank #224) compared to Qwen-Turbo's 60/100 (rank #225), giving it a 0-point advantage. Qwen VL Plus is the stronger overall choice, though Qwen-Turbo may excel in specific areas like cost efficiency.
Qwen-Turbo is ranked #225 and Qwen VL Plus is ranked #224 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.
Qwen-Turbo is cheaper at $0.13/M output tokens vs Qwen VL Plus's $0.41/M output tokens - 3.1x more expensive. Input token pricing: Qwen-Turbo at $0.03/M vs Qwen VL Plus at $0.14/M.
Qwen-Turbo has a larger context window of 131,072 tokens compared to Qwen VL Plus's 131,072 tokens. A larger context window means the model can process longer documents and conversations.