| Signal | Coder Large | Delta | Gemma 3n 4B |
|---|---|---|---|
Capabilities | 17 | -- | |
Pricing | 1 | +1 | |
Context window size | 72 | -- | |
Recency | 73 | -3 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
5
days higher
4
days
21
days higher
arcee-ai
Gemma 3n 4B saves you $86.00/month
That's $1032.00/year compared to Coder Large at your current usage level of 100K calls/month.
| Metric | Coder Large | Gemma 3n 4B | Winner |
|---|---|---|---|
| Overall Score | 45 | 46 | Gemma 3n 4B |
| Rank | #280 | #278 | Gemma 3n 4B |
| Quality Rank | #280 | #278 | Gemma 3n 4B |
| Adoption Rank | #280 | #278 | Gemma 3n 4B |
| Parameters | -- | 4B | -- |
| Context Window | 33K | 33K | -- |
| Pricing | $0.50/$0.80/M | $0.02/$0.04/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 17 | Coder Large |
| Pricing | 1 | 0 | Coder Large |
| Context window size | 72 | 72 | Coder Large |
| Recency | 73 | 76 | Gemma 3n 4B |
| Output Capacity | 20 | 20 | Coder Large |
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 45/100 (rank #280), placing it in the top 4% of all 290 models tracked.
Scores 46/100 (rank #278), placing it in the top 4% 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 3n 4B offers 95% better value per quality point. At 1M tokens/day, you'd spend $0.90/month with Gemma 3n 4B vs $19.50/month with Coder Large - a $18.60 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 3n 4B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (33K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.04/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (46/100) correlates with better nuance, coherence, and style in long-form content
Coder Large and Gemma 3n 4B are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Coder Large
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3n 4B
95% lower pricing; better value at scale
Best for Reliability
Coder Large
Higher uptime and faster response speeds
Best for Prototyping
Coder Large
Stronger community support and better developer experience
Best for Production
Coder Large
Wider enterprise adoption and proven at scale
by arcee-ai
| Capability | Coder Large | Gemma 3n 4B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
arcee-ai
Gemma 3n 4B saves you $1.78/month
That's 95% cheaper than Coder Large 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 | Coder Large | Gemma 3n 4B |
|---|---|---|
| Context Window | 33K | 33K |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | May 5, 2025 | May 20, 2025 |
Gemma 3n 4B scores 46/100 (rank #278) compared to Coder Large's 45/100 (rank #280), giving it a 1-point advantage. Gemma 3n 4B is the stronger overall choice, though Coder Large may excel in specific areas like certain benchmarks.
Coder Large is ranked #280 and Gemma 3n 4B is ranked #278 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 3n 4B is cheaper at $0.04/M output tokens vs Coder Large's $0.80/M output tokens - 20.0x more expensive. Input token pricing: Coder Large at $0.50/M vs Gemma 3n 4B at $0.02/M.
Coder Large has a larger context window of 32,768 tokens compared to Gemma 3n 4B's 32,768 tokens. A larger context window means the model can process longer documents and conversations.