| Signal | Gemma 3 27B (free) | Delta | UI-TARS 7B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 30 | +30 | |
Context window size | 81 | +0 | |
Recency | 63 | -24 | |
Output Capacity | 65 | +10 | |
| Overall Result | 4 wins | of 5 | 1 wins |
11
days higher
3
days
16
days higher
ByteDance
Gemma 3 27B (free) saves you $20.00/month
That's $240.00/year compared to UI-TARS 7B at your current usage level of 100K calls/month.
| Metric | Gemma 3 27B (free) | UI-TARS 7B | Winner |
|---|---|---|---|
| Overall Score | 62 | 62 | Gemma 3 27B (free) |
| Rank | #213 | #214 | Gemma 3 27B (free) |
| Quality Rank | #213 | #214 | Gemma 3 27B (free) |
| Adoption Rank | #213 | #214 | Gemma 3 27B (free) |
| Parameters | 27B | 7B | -- |
| Context Window | 131K | 128K | Gemma 3 27B (free) |
| Pricing | Free | $0.10/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Gemma 3 27B (free) |
| Pricing | 30 | 0 | Gemma 3 27B (free) |
| Context window size | 81 | 81 | Gemma 3 27B (free) |
| Recency | 63 | 87 | UI-TARS 7B |
| Output Capacity | 65 | 55 | Gemma 3 27B (free) |
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 #213), placing it in the top 27% 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.
Compare the cost per quality point to find the best value for your specific workload.
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. Gemma 3 27B (free) 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 ($0.00/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
Gemma 3 27B (free) and UI-TARS 7B are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 3 27B (free)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 27B (free)
100% lower pricing; better value at scale
Best for Reliability
Gemma 3 27B (free)
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 27B (free)
Stronger community support and better developer experience
Best for Production
Gemma 3 27B (free)
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 27B (free) | UI-TARS 7B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
ByteDance
Gemma 3 27B (free) saves you $0.4200/month
That's 100% cheaper than UI-TARS 7B 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 | Gemma 3 27B (free) | UI-TARS 7B |
|---|---|---|
| Context Window | 131K | 128K |
| Max Output Tokens | 8,192 | 2,048 |
| Open Source | Yes | Yes |
| Created | Mar 12, 2025 | Jul 22, 2025 |
Gemma 3 27B (free) scores 62/100 (rank #213) compared to UI-TARS 7B 's 62/100 (rank #214), giving it a 0-point advantage. Gemma 3 27B (free) is the stronger overall choice, though UI-TARS 7B may excel in specific areas like certain benchmarks.
Gemma 3 27B (free) is ranked #213 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.
Gemma 3 27B (free) is cheaper at $0.00/M output tokens vs UI-TARS 7B 's $0.20/M output tokens - 200.0x more expensive. Input token pricing: Gemma 3 27B (free) at $0.00/M vs UI-TARS 7B at $0.10/M.
Gemma 3 27B (free) 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.