| Signal | Gemma 2 27B | Delta | GLM 5V Turbo |
|---|---|---|---|
Capabilities | 33 | -50 | |
Benchmarks | 83 | +9 | |
Pricing | 99 | +3 | |
Context window size | 62 | -22 | |
Recency | 17 | -83 | |
Output Capacity | 55 | -30 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
77.4
current score
Gemma 2 27B
right now
75.1
current score
Zhipu AI
Gemma 2 27B saves you $222.50/month
That's $2670.00/year compared to GLM 5V Turbo at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | GLM 5V Turbo | Winner |
|---|---|---|---|
| Overall Score | 77 | 75 | Gemma 2 27B |
| Rank | #46 | #47 | Gemma 2 27B |
| Quality Rank | #46 | #47 | Gemma 2 27B |
| Adoption Rank | #46 | #47 | Gemma 2 27B |
| Parameters | 27B | -- | -- |
| Context Window | 8K | 203K | GLM 5V Turbo |
| Pricing | $0.65/$0.65/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | GLM 5V Turbo |
| Benchmarks | 83 | 74 | Gemma 2 27B |
| Pricing | 99 | 96 | Gemma 2 27B |
| Context window size | 62 | 84 | GLM 5V Turbo |
| Recency | 17 | 100 | GLM 5V Turbo |
| Output Capacity | 55 | 85 | GLM 5V Turbo |
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 #46), placing it in the top 84% of all 290 models tracked.
Scores 75/100 (rank #47), placing it in the top 84% of all 290 models tracked.
With only a 2-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 75% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $78.00/month with GLM 5V Turbo - a $58.50 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 2 27B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (203K 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 GLM 5V Turbo are extremely close in overall performance (only 2.3000000000000114 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
75% 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 | GLM 5V Turbo |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Zhipu AI
Gemma 2 27B saves you $5.01/month
That's 72% cheaper than GLM 5V Turbo 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 | GLM 5V Turbo |
|---|---|---|
| Context Window | 8K | 203K |
| Max Output Tokens | 2,048 | 131,072 |
| Open Source | Yes | No |
| Created | Jul 13, 2024 | Apr 1, 2026 |
Gemma 2 27B scores 77/100 (rank #46) compared to GLM 5V Turbo's 75/100 (rank #47), giving it a 2-point advantage. Gemma 2 27B is the stronger overall choice, though GLM 5V Turbo may excel in specific areas like certain benchmarks.
Gemma 2 27B is ranked #46 and GLM 5V Turbo is ranked #47 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 2 27B is cheaper at $0.65/M output tokens vs GLM 5V Turbo's $4.00/M output tokens - 6.2x more expensive. Input token pricing: Gemma 2 27B at $0.65/M vs GLM 5V Turbo at $1.20/M.
GLM 5V Turbo has a larger context window of 202,752 tokens compared to Gemma 2 27B's 8,192 tokens. A larger context window means the model can process longer documents and conversations.