| Signal | Command R (08-2024) | Delta | Gemma 3 12B |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 1 | +1 | |
Context window size | 81 | 0 | |
Recency | 30 | -36 | |
Output Capacity | 60 | +40 | |
| Overall Result | 2 wins | of 5 | 2 wins |
6
days ranked higher
2
days
22
days ranked higher
Cohere
Gemma 3 12B saves you $34.50/month
That's $414.00/year compared to Command R (08-2024) at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | Gemma 3 12B | Winner |
|---|---|---|---|
| Overall Score | 54 | 55 | Gemma 3 12B |
| Rank | #235 | #230 | Gemma 3 12B |
| Quality Rank | #235 | #230 | Gemma 3 12B |
| Adoption Rank | #235 | #230 | Gemma 3 12B |
| Parameters | -- | 12B | -- |
| Context Window | 128K | 131K | Gemma 3 12B |
| Pricing | $0.15/$0.60/M | $0.04/$0.13/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Command R (08-2024) |
| Pricing | 1 | 0 | Command R (08-2024) |
| Context window size | 81 | 81 | Gemma 3 12B |
| Recency | 30 | 66 | Gemma 3 12B |
| Output Capacity | 60 | 20 | Command R (08-2024) |
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 54/100 (rank #235), placing it in the top 19% of all 290 models tracked.
Scores 55/100 (rank #230), placing it in the top 21% of all 290 models tracked.
With only a 1-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 12B offers 77% better value per quality point. At 1M tokens/day, you'd spend $2.55/month with Gemma 3 12B vs $11.25/month with Command R (08-2024) — a $8.70 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 (55/100) 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
Command R (08-2024) and Gemma 3 12B are extremely close in overall performance (only 1.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 12B
77% lower pricing; better value at scale
Best for Reliability
Command R (08-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R (08-2024)
Stronger community support and better developer experience
Best for Production
Command R (08-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R (08-2024) | Gemma 3 12B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
Gemma 3 12B saves you $0.7620/month
That's 77% cheaper than Command R (08-2024) 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 | Command R (08-2024) | Gemma 3 12B |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,000 | -- |
| Open Source | Yes | Yes |
| Created | Aug 30, 2024 | Mar 13, 2025 |
Gemma 3 12B scores 55/100 (rank #230) compared to Command R (08-2024)'s 54/100 (rank #235), giving it a 1-point advantage. Gemma 3 12B is the stronger overall choice, though Command R (08-2024) may excel in specific areas like certain benchmarks.
Command R (08-2024) is ranked #235 and Gemma 3 12B is ranked #230 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 Command R (08-2024)'s $0.60/M output tokens — 4.6x more expensive. Input token pricing: Command R (08-2024) at $0.15/M vs Gemma 3 12B at $0.04/M.
Gemma 3 12B has a larger context window of 131,072 tokens compared to Command R (08-2024)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.