| Signal | Devstral Small 1.1 | Delta | Qwen VL Plus |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | 0 | |
Context window size | 81 | -- | |
Recency | 86 | +28 | |
Output Capacity | 20 | -45 | |
| Overall Result | 1 wins | of 5 | 2 wins |
15
days ranked higher
3
days
12
days ranked higher
Mistral AI
Alibaba
Devstral Small 1.1 saves you $9.13/month
That's $109.50/year compared to Qwen VL Plus at your current usage level of 100K calls/month.
| Metric | Devstral Small 1.1 | Qwen VL Plus | Winner |
|---|---|---|---|
| Overall Score | 63 | 61 | Devstral Small 1.1 |
| Rank | #206 | #215 | Devstral Small 1.1 |
| Quality Rank | #206 | #215 | Devstral Small 1.1 |
| Adoption Rank | #206 | #215 | Devstral Small 1.1 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.10/$0.30/M | $0.14/$0.41/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Devstral Small 1.1 |
| Pricing | 0 | 0 | Qwen VL Plus |
| Context window size | 81 | 81 | Devstral Small 1.1 |
| Recency | 86 | 58 | Devstral Small 1.1 |
| Output Capacity | 20 | 65 | Qwen VL Plus |
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 63/100 (rank #206), placing it in the top 29% of all 290 models tracked.
Scores 61/100 (rank #215), placing it in the top 26% of all 290 models tracked.
With only a 2-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.
Devstral Small 1.1 offers 27% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Devstral Small 1.1 vs $8.19/month with Qwen VL Plus - a $2.19 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. Devstral Small 1.1 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 ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) 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
Devstral Small 1.1 and Qwen VL Plus are extremely close in overall performance (only 1.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Devstral Small 1.1
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral Small 1.1
27% lower pricing; better value at scale
Best for Reliability
Devstral Small 1.1
Higher uptime and faster response speeds
Best for Prototyping
Devstral Small 1.1
Stronger community support and better developer experience
Best for Production
Devstral Small 1.1
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Devstral Small 1.1 | Qwen VL Plus |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Devstral Small 1.1 saves you $0.1971/month
That's 27% 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 | Devstral Small 1.1 | Qwen VL Plus |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 8,192 |
| Open Source | Yes | No |
| Created | Jul 10, 2025 | Feb 5, 2025 |
Devstral Small 1.1 scores 63/100 (rank #206) compared to Qwen VL Plus's 61/100 (rank #215), giving it a 2-point advantage. Devstral Small 1.1 is the stronger overall choice, though Qwen VL Plus may excel in specific areas like certain benchmarks.
Devstral Small 1.1 is ranked #206 and Qwen VL Plus is ranked #215 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.
Devstral Small 1.1 is cheaper at $0.30/M output tokens vs Qwen VL Plus's $0.41/M output tokens - 1.4x more expensive. Input token pricing: Devstral Small 1.1 at $0.10/M vs Qwen VL Plus at $0.14/M.
Devstral Small 1.1 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.