| Signal | Gemma 2 27B | Delta | Qwen3.5-9B |
|---|---|---|---|
Capabilities | 33 | -50 | |
Benchmarks | 83 | +17 | |
Pricing | 99 | 0 | |
Context window size | 56 | -22 | |
Recency | 3 | -97 | |
Output Capacity | 55 | -35 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
77.1
current score
Gemma 2 27B
right now
66
current score
Alibaba
Qwen3.5-9B saves you $80.00/month
That's $960.00/year compared to Gemma 2 27B at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | Qwen3.5-9B | Winner |
|---|---|---|---|
| Overall Score | 77 | 66 | Gemma 2 27B |
| Rank | #61 | #118 | Gemma 2 27B |
| Quality Rank | #61 | #118 | Gemma 2 27B |
| Adoption Rank | #61 | #118 | Gemma 2 27B |
| Parameters | 27B | 9B | -- |
| Context Window | 8K | 262K | Qwen3.5-9B |
| Pricing | $0.65/$0.65/M | $0.10/$0.15/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | Qwen3.5-9B |
| Benchmarks | 83 | 66 | Gemma 2 27B |
| Pricing | 99 | 100 | Qwen3.5-9B |
| Context window size | 56 | 77 | Qwen3.5-9B |
| Recency | 3 | 100 | Qwen3.5-9B |
| Output Capacity | 55 | 90 | Qwen3.5-9B |
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 #61), placing it in the top 79% of all 290 models tracked.
Scores 66/100 (rank #118), placing it in the top 60% of all 290 models tracked.
Gemma 2 27B has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-9B offers 81% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with Qwen3.5-9B vs $19.50/month with Gemma 2 27B - a $15.75 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. Qwen3.5-9B 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 ($0.15/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 clearly outperforms Qwen3.5-9B with a significant 11.099999999999994-point lead. For most general use cases, Gemma 2 27B is the stronger choice. However, Qwen3.5-9B may still excel in niche scenarios.
Best for Quality
Gemma 2 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-9B
81% 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 | Qwen3.5-9B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Qwen3.5-9B saves you $1.59/month
That's 82% 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 | Qwen3.5-9B |
|---|---|---|
| Context Window | 8K | 262K |
| Max Output Tokens | 2,048 | 262,144 |
| Open Source | Yes | Yes |
| Created | Jul 13, 2024 | Mar 10, 2026 |