| Signal | Gemma 2 27B | Delta | Qwen3.5-27B |
|---|---|---|---|
Capabilities | 33 | -50 | |
Benchmarks | 83 | +7 | |
Pricing | 99 | +1 | |
Context window size | 62 | -24 | |
Recency | 15 | -85 | |
Output Capacity | 55 | -25 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
77.4
current score
Gemma 2 27B
right now
76.8
current score
Alibaba
| Metric | Gemma 2 27B | Qwen3.5-27B | Winner |
|---|---|---|---|
| Overall Score | 77 | 77 | Gemma 2 27B |
| Rank | #52 | #53 | Gemma 2 27B |
| Quality Rank | #52 | #53 | Gemma 2 27B |
| Adoption Rank | #52 | #53 | Gemma 2 27B |
| Parameters | 27B | 27B | -- |
| Context Window | 8K | 262K | Qwen3.5-27B |
| Pricing | $0.65/$0.65/M | $0.20/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | Qwen3.5-27B |
| Benchmarks | 83 | 77 | Gemma 2 27B |
| Pricing | 99 | 98 | Gemma 2 27B |
| Context window size | 62 | 86 | Qwen3.5-27B |
| Recency | 15 | 100 | Qwen3.5-27B |
| Output Capacity | 55 | 80 | Qwen3.5-27B |
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 #52), placing it in the top 82% of all 290 models tracked.
Scores 77/100 (rank #53), placing it in the top 82% 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 2 27B offers 26% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $26.33/month with Qwen3.5-27B - a $6.83 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 (262K 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 Qwen3.5-27B are extremely close in overall performance (only 0.6000000000000085 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
26% 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 | Qwen3.5-27B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Gemma 2 27B saves you $0.2730/month
That's 12% cheaper than Qwen3.5-27B 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 | Qwen3.5-27B |
|---|---|---|
| Context Window | 8K | 262K |
| Max Output Tokens | 2,048 | 65,536 |
| Open Source | Yes | Yes |
| Created | Jul 13, 2024 | Feb 25, 2026 |