| Signal | Gemma 3 12B | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | -2 | |
Context window size | 81 | +5 | |
Recency | 66 | +10 | |
Output Capacity | 20 | -50 | |
Benchmarks | 0 | -80 | |
| Overall Result | 2 wins | of 6 | 3 wins |
0
days ranked higher
0
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30
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DeepSeek
Gemma 3 12B saves you $184.50/month
That's $2214.00/year compared to R1 at your current usage level of 100K calls/month.
| Metric | Gemma 3 12B | R1 | Winner |
|---|---|---|---|
| Overall Score | 55 | 66 | R1 |
| Rank | #230 | #159 | R1 |
| Quality Rank | #230 | #159 | R1 |
| Adoption Rank | #230 | #159 | R1 |
| Parameters | 12B | -- | -- |
| Context Window | 131K | 64K | Gemma 3 12B |
| Pricing | $0.04/$0.13/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Gemma 3 12B |
| Pricing | 0 | 3 | R1 |
| Context window size | 81 | 76 | Gemma 3 12B |
| Recency | 66 | 56 | Gemma 3 12B |
| Output Capacity | 20 | 70 | R1 |
| Benchmarks | -- | 80 | R1 |
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 55/100 (rank #230), placing it in the top 21% of all 290 models tracked.
Scores 66/100 (rank #159), placing it in the top 46% of all 290 models tracked.
R1 has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 3 12B offers 95% better value per quality point. At 1M tokens/day, you'd spend $2.55/month with Gemma 3 12B vs $48.00/month with R1 — a $45.45 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 12B 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 (66/100) 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
R1 clearly outperforms Gemma 3 12B with a significant 11.300000000000004-point lead. For most general use cases, R1 is the stronger choice. However, Gemma 3 12B may still excel in niche scenarios.
Best for Quality
Gemma 3 12B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 12B
95% lower pricing; better value at scale
Best for Reliability
Gemma 3 12B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 12B
Stronger community support and better developer experience
Best for Production
Gemma 3 12B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 12B | R1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Gemma 3 12B saves you $4.03/month
That's 95% cheaper than R1 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 12B | R1 |
|---|---|---|
| Context Window | 131K | 64K |
| Max Output Tokens | -- | 16,000 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Jan 20, 2025 |
R1 scores 66/100 (rank #159) compared to Gemma 3 12B's 55/100 (rank #230), giving it a 11-point advantage. R1 is the stronger overall choice, though Gemma 3 12B may excel in specific areas like cost efficiency.
Gemma 3 12B is ranked #230 and R1 is ranked #159 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 12B is cheaper at $0.13/M output tokens vs R1's $2.50/M output tokens — 19.2x more expensive. Input token pricing: Gemma 3 12B at $0.04/M vs R1 at $0.70/M.
Gemma 3 12B has a larger context window of 131,072 tokens compared to R1's 64,000 tokens. A larger context window means the model can process longer documents and conversations.