| Signal | Gemma 2 27B | Delta | GPT-5.2 Chat |
|---|---|---|---|
Capabilities | 33 | -50 | |
Benchmarks | 83 | +6 | |
Pricing | 99 | +13 | |
Context window size | 56 | -17 | |
Recency | 9 | -91 | |
Output Capacity | 55 | -20 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
77.1
current score
Tied
right now
77.1
current score
OpenAI
Gemma 2 27B saves you $777.50/month
That's $9330.00/year compared to GPT-5.2 Chat at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | GPT-5.2 Chat | Winner |
|---|---|---|---|
| Overall Score | 77 | 77 | -- |
| Rank | #57 | #56 | GPT-5.2 Chat |
| Quality Rank | #57 | #56 | GPT-5.2 Chat |
| Adoption Rank | #57 | #56 | GPT-5.2 Chat |
| Parameters | 27B | -- | -- |
| Context Window | 8K | 128K | GPT-5.2 Chat |
| Pricing | $0.65/$0.65/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | GPT-5.2 Chat |
| Benchmarks | 83 | 77 | Gemma 2 27B |
| Pricing | 99 | 86 | Gemma 2 27B |
| Context window size | 56 | 73 | GPT-5.2 Chat |
| Recency | 9 | 100 | GPT-5.2 Chat |
| Output Capacity | 55 | 75 | GPT-5.2 Chat |
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 #57), placing it in the top 81% of all 290 models tracked.
Scores 77/100 (rank #56), placing it in the top 81% of all 290 models tracked.
With only a 0-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 2 27B offers 92% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $236.25/month with GPT-5.2 Chat - a $216.75 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. Gemma 2 27B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.65/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
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Gemma 2 27B and GPT-5.2 Chat are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 2 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 2 27B
92% 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 | GPT-5.2 Chat |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemma 2 27B saves you $18.00/month
That's 90% cheaper than GPT-5.2 Chat 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 | GPT-5.2 Chat |
|---|---|---|
| Context Window | 8K | 128K |
| Max Output Tokens | 2,048 | 32,000 |
| Open Source | Yes | No |
| Created | Jul 13, 2024 | Dec 10, 2025 |