| Signal | DeepSeek V3 0324 | Delta | Gemma 3 27B |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 81 | +81 | |
Pricing | 1 | +1 | |
Context window size | 83 | +2 | |
Recency | 67 | +2 | |
Output Capacity | 20 | -50 | |
| Overall Result | 5 wins | of 6 | 1 wins |
30
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DeepSeek
Gemma 3 27B saves you $42.50/month
That's $510.00/year compared to DeepSeek V3 0324 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3 0324 | Gemma 3 27B | Winner |
|---|---|---|---|
| Overall Score | 73 | 64 | DeepSeek V3 0324 |
| Rank | #127 | #195 | DeepSeek V3 0324 |
| Quality Rank | #127 | #195 | DeepSeek V3 0324 |
| Adoption Rank | #127 | #195 | DeepSeek V3 0324 |
| Parameters | -- | 27B | -- |
| Context Window | 164K | 131K | DeepSeek V3 0324 |
| Pricing | $0.20/$0.77/M | $0.08/$0.16/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | DeepSeek V3 0324 |
| Benchmarks | 81 | -- | DeepSeek V3 0324 |
| Pricing | 1 | 0 | DeepSeek V3 0324 |
| Context window size | 83 | 81 | DeepSeek V3 0324 |
| Recency | 67 | 64 | DeepSeek V3 0324 |
| Output Capacity | 20 | 70 | Gemma 3 27B |
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 73/100 (rank #127), placing it in the top 57% of all 290 models tracked.
Scores 64/100 (rank #195), placing it in the top 33% of all 290 models tracked.
DeepSeek V3 0324 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 3 27B offers 75% better value per quality point. At 1M tokens/day, you'd spend $3.60/month with Gemma 3 27B vs $14.55/month with DeepSeek V3 0324 - a $10.95 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 (164K 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 (73/100) 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
DeepSeek V3 0324 has a moderate advantage with a 9.600000000000001-point lead in composite score. It wins on more signal dimensions, but Gemma 3 27B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
DeepSeek V3 0324
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 27B
75% lower pricing; better value at scale
Best for Reliability
DeepSeek V3 0324
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3 0324
Stronger community support and better developer experience
Best for Production
DeepSeek V3 0324
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3 0324 | Gemma 3 27B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Gemma 3 27B saves you $0.9480/month
That's 74% cheaper than DeepSeek V3 0324 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 | DeepSeek V3 0324 | Gemma 3 27B |
|---|---|---|
| Context Window | 164K | 131K |
| Max Output Tokens | -- | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 24, 2025 | Mar 12, 2025 |
DeepSeek V3 0324 scores 73/100 (rank #127) compared to Gemma 3 27B's 64/100 (rank #195), giving it a 10-point advantage. DeepSeek V3 0324 is the stronger overall choice, though Gemma 3 27B may excel in specific areas like cost efficiency.
DeepSeek V3 0324 is ranked #127 and Gemma 3 27B is ranked #195 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 27B is cheaper at $0.16/M output tokens vs DeepSeek V3 0324's $0.77/M output tokens - 4.8x more expensive. Input token pricing: DeepSeek V3 0324 at $0.20/M vs Gemma 3 27B at $0.08/M.
DeepSeek V3 0324 has a larger context window of 163,840 tokens compared to Gemma 3 27B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.