| Signal | Devstral Small 1.1 | Delta | UI-TARS 7B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 0 | +0 | |
Context window size | 81 | +0 | |
Recency | 85 | -2 | |
Output Capacity | 20 | -35 | |
| Overall Result | 3 wins | of 5 | 2 wins |
7
days higher
5
days
18
days higher
Mistral AI
ByteDance
UI-TARS 7B saves you $5.00/month
That's $60.00/year compared to Devstral Small 1.1 at your current usage level of 100K calls/month.
| Metric | Devstral Small 1.1 | UI-TARS 7B | Winner |
|---|---|---|---|
| Overall Score | 62 | 62 | UI-TARS 7B |
| Rank | #216 | #214 | UI-TARS 7B |
| Quality Rank | #216 | #214 | UI-TARS 7B |
| Adoption Rank | #216 | #214 | UI-TARS 7B |
| Parameters | -- | 7B | -- |
| Context Window | 131K | 128K | Devstral Small 1.1 |
| Pricing | $0.10/$0.30/M | $0.10/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Devstral Small 1.1 |
| Pricing | 0 | 0 | Devstral Small 1.1 |
| Context window size | 81 | 81 | Devstral Small 1.1 |
| Recency | 85 | 87 | UI-TARS 7B |
| Output Capacity | 20 | 55 | UI-TARS 7B |
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 62/100 (rank #216), placing it in the top 26% of all 290 models tracked.
Scores 62/100 (rank #214), placing it in the top 27% 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.
UI-TARS 7B offers 25% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with UI-TARS 7B vs $6.00/month with Devstral Small 1.1 - a $1.50 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. UI-TARS 7B 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 ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (62/100) 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 UI-TARS 7B are extremely close in overall performance (only 0.09999999999999432 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
UI-TARS 7B
25% 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 | UI-TARS 7B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
ByteDance
UI-TARS 7B saves you $0.1200/month
That's 22% cheaper than Devstral Small 1.1 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 | UI-TARS 7B |
|---|---|---|
| Context Window | 131K | 128K |
| Max Output Tokens | -- | 2,048 |
| Open Source | Yes | Yes |
| Created | Jul 10, 2025 | Jul 22, 2025 |
UI-TARS 7B scores 62/100 (rank #214) compared to Devstral Small 1.1's 62/100 (rank #216), giving it a 0-point advantage. UI-TARS 7B is the stronger overall choice, though Devstral Small 1.1 may excel in specific areas like certain benchmarks.
Devstral Small 1.1 is ranked #216 and UI-TARS 7B is ranked #214 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.
UI-TARS 7B is cheaper at $0.20/M output tokens vs Devstral Small 1.1's $0.30/M output tokens - 1.5x more expensive. Input token pricing: Devstral Small 1.1 at $0.10/M vs UI-TARS 7B at $0.10/M.
Devstral Small 1.1 has a larger context window of 131,072 tokens compared to UI-TARS 7B 's 128,000 tokens. A larger context window means the model can process longer documents and conversations.