| Signal | Gemma 3 12B (free) | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 33 | -17 | |
Pricing | 30 | +29 | |
Context window size | 72 | -9 | |
Recency | 66 | +9 | |
Output Capacity | 65 | -5 | |
| Overall Result | 2 wins | of 5 | 3 wins |
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DeepSeek
Gemma 3 12B (free) saves you $110.00/month
That's $1320.00/year compared to R1 Distill Llama 70B at your current usage level of 100K calls/month.
| Metric | Gemma 3 12B (free) | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 52 | 61 | R1 Distill Llama 70B |
| Rank | #244 | #197 | R1 Distill Llama 70B |
| Quality Rank | #244 | #197 | R1 Distill Llama 70B |
| Adoption Rank | #244 | #197 | R1 Distill Llama 70B |
| Parameters | 12B | 70B | -- |
| Context Window | 33K | 131K | R1 Distill Llama 70B |
| Pricing | Free | $0.70/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | R1 Distill Llama 70B |
| Pricing | 30 | 1 | Gemma 3 12B (free) |
| Context window size | 72 | 81 | R1 Distill Llama 70B |
| Recency | 66 | 57 | Gemma 3 12B (free) |
| Output Capacity | 65 | 70 | R1 Distill Llama 70B |
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 52/100 (rank #244), placing it in the top 16% of all 290 models tracked.
Scores 61/100 (rank #197), placing it in the top 32% of all 290 models tracked.
R1 Distill Llama 70B has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
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 12B (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 (61/100) 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 Distill Llama 70B has a moderate advantage with a 8.400000000000006-point lead in composite score. It wins on more signal dimensions, but Gemma 3 12B (free) has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemma 3 12B (free)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 12B (free)
100% lower pricing; better value at scale
Best for Reliability
Gemma 3 12B (free)
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 12B (free)
Stronger community support and better developer experience
Best for Production
Gemma 3 12B (free)
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 12B (free) | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Gemma 3 12B (free) saves you $2.22/month
That's 100% cheaper than R1 Distill Llama 70B 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 (free) | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 33K | 131K |
| Max Output Tokens | 8,192 | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Jan 23, 2025 |
R1 Distill Llama 70B scores 61/100 (rank #197) compared to Gemma 3 12B (free)'s 52/100 (rank #244), giving it a 8-point advantage. R1 Distill Llama 70B is the stronger overall choice, though Gemma 3 12B (free) may excel in specific areas like cost efficiency.
Gemma 3 12B (free) is ranked #244 and R1 Distill Llama 70B is ranked #197 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 (free) is cheaper at $0.00/M output tokens vs R1 Distill Llama 70B's $0.80/M output tokens — 800.0x more expensive. Input token pricing: Gemma 3 12B (free) at $0.00/M vs R1 Distill Llama 70B at $0.70/M.
R1 Distill Llama 70B has a larger context window of 131,072 tokens compared to Gemma 3 12B (free)'s 32,768 tokens. A larger context window means the model can process longer documents and conversations.