| Signal | Gemma 2 27B | Delta | Llama 3.2 3B Instruct |
|---|---|---|---|
Capabilities | 33 | +17 | |
Benchmarks | 83 | +50 | |
Pricing | 99 | 0 | |
Context window size | 62 | -16 | |
Recency | 12 | -13 | |
Output Capacity | 55 | +35 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
77.4
current score
Gemma 2 27B
right now
33.2
current score
Meta
Llama 3.2 3B Instruct saves you $75.40/month
That's $904.80/year compared to Gemma 2 27B at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | Llama 3.2 3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 77 | 33 | Gemma 2 27B |
| Rank | #54 | #333 | Gemma 2 27B |
| Quality Rank | #54 | #333 | Gemma 2 27B |
| Adoption Rank | #54 | #333 | Gemma 2 27B |
| Parameters | 27B | 3B | -- |
| Context Window | 8K | 80K | Llama 3.2 3B Instruct |
| Pricing | $0.65/$0.65/M | $0.05/$0.34/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 17 | Gemma 2 27B |
| Benchmarks | 83 | 33 | Gemma 2 27B |
| Pricing | 99 | 100 | Llama 3.2 3B Instruct |
| Context window size | 62 | 78 | Llama 3.2 3B Instruct |
| Recency | 12 | 25 | Llama 3.2 3B Instruct |
| Output Capacity | 55 | 20 | Gemma 2 27B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 77/100 (rank #54), placing it in the top 82% of all 290 models tracked.
Scores 33/100 (rank #333), placing it in the top -14% of all 290 models tracked.
Gemma 2 27B has a 44-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.2 3B Instruct offers 70% better value per quality point. At 1M tokens/day, you'd spend $5.86/month with Llama 3.2 3B Instruct vs $19.50/month with Gemma 2 27B - a $13.64 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 3.2 3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (80K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content
Gemma 2 27B clearly outperforms Llama 3.2 3B Instruct with a significant 44.2-point lead. For most general use cases, Gemma 2 27B is the stronger choice. However, Llama 3.2 3B Instruct may still excel in niche scenarios.
Best for Quality
Gemma 2 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 3B Instruct
70% lower pricing; better value at scale
Best for Reliability
Gemma 2 27B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 2 27B
Stronger community support and better developer experience
Best for Production
Gemma 2 27B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 2 27B | Llama 3.2 3B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Llama 3.2 3B Instruct saves you $1.45/month
That's 74% cheaper than Gemma 2 27B 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 2 27B | Llama 3.2 3B Instruct |
|---|---|---|
| Context Window | 8K | 80K |
| Max Output Tokens | 2,048 | -- |
| Open Source | Yes | Yes |
| Created | Jul 13, 2024 | Sep 25, 2024 |