| Signal | Gemma 3 27B | Delta | Sonar Pro |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 100 | +15 | |
Context window size | 81 | -3 | |
Recency | 62 | +1 | |
Output Capacity | 70 | +5 | |
| Overall Result | 3 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Perplexity
Gemma 3 27B saves you $1034.00/month
That's $12408.00/year compared to Sonar Pro at your current usage level of 100K calls/month.
| Metric | Gemma 3 27B | Sonar Pro | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #260 | #262 | Gemma 3 27B |
| Quality Rank | #260 | #262 | Gemma 3 27B |
| Adoption Rank | #260 | #262 | Gemma 3 27B |
| Parameters | 27B | -- | -- |
| Context Window | 131K | 200K | Sonar Pro |
| Pricing | $0.08/$0.16/M | $3.00/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Gemma 3 27B |
| Pricing | 100 | 85 | Gemma 3 27B |
| Context window size | 81 | 84 | Sonar Pro |
| Recency | 62 | 61 | Gemma 3 27B |
| Output Capacity | 70 | 65 | Gemma 3 27B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #260), placing it in the top 11% of all 290 models tracked.
Scores 40/100 (rank #262), placing it in the top 10% 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.
Gemma 3 27B offers 99% better value per quality point. At 1M tokens/day, you'd spend $3.60/month with Gemma 3 27B vs $270.00/month with Sonar Pro - a $266.40 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. Gemma 3 27B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.16/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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 and Sonar Pro 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
Gemma 3 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 27B
99% lower pricing; better value at scale
Best for Reliability
Gemma 3 27B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 27B
Stronger community support and better developer experience
Best for Production
Gemma 3 27B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 27B | Sonar Pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Perplexity
Gemma 3 27B saves you $23.06/month
That's 99% cheaper than Sonar Pro 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 | Sonar Pro |
|---|---|---|
| Context Window | 131K | 200K |
| Max Output Tokens | 16,384 | 8,000 |
| Open Source | Yes | No |
| Created | Mar 12, 2025 | Mar 7, 2025 |
Both Gemma 3 27B and Sonar Pro score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Gemma 3 27B is ranked #260 and Sonar Pro is ranked #262 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 3 27B is cheaper at $0.16/M output tokens vs Sonar Pro's $15.00/M output tokens - 93.8x more expensive. Input token pricing: Gemma 3 27B at $0.08/M vs Sonar Pro at $3.00/M.
Sonar Pro has a larger context window of 200,000 tokens compared to Gemma 3 27B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.