| Signal | Gemma 2 27B | Delta | GLM 5 |
|---|---|---|---|
Capabilities | 33 | -33 | |
Benchmarks | 83 | +3 | |
Pricing | 99 | +2 | |
Context window size | 62 | -22 | |
Recency | 15 | -85 | |
Output Capacity | 55 | +35 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
77.4
current score
GLM 5
right now
78
current score
Zhipu AI
Gemma 2 27B saves you $71.50/month
That's $858.00/year compared to GLM 5 at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | GLM 5 | Winner |
|---|---|---|---|
| Overall Score | 77 | 78 | GLM 5 |
| Rank | #52 | #50 | GLM 5 |
| Quality Rank | #52 | #50 | GLM 5 |
| Adoption Rank | #52 | #50 | GLM 5 |
| Parameters | 27B | -- | -- |
| Context Window | 8K | 203K | GLM 5 |
| Pricing | $0.65/$0.65/M | $0.65/$2.08/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | GLM 5 |
| Benchmarks | 83 | 81 | Gemma 2 27B |
| Pricing | 99 | 98 | Gemma 2 27B |
| Context window size | 62 | 84 | GLM 5 |
| Recency | 15 | 100 | GLM 5 |
| 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 #52), placing it in the top 82% of all 290 models tracked.
Scores 78/100 (rank #50), placing it in the top 83% 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 52% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $40.95/month with GLM 5 - a $21.45 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 (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 (78/100) correlates with better nuance, coherence, and style in long-form content
Gemma 2 27B and GLM 5 are extremely close in overall performance (only 0.5999999999999943 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
52% 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 5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Zhipu AI
Gemma 2 27B saves you $1.72/month
That's 47% cheaper than GLM 5 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 5 |
|---|---|---|
| Context Window | 8K | 203K |
| Max Output Tokens | 2,048 | -- |
| Open Source | Yes | Yes |
| Created | Jul 13, 2024 | Feb 11, 2026 |