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Gemma 2 27B vs GLM 5.1

Gemma 2 27B

Google

77#64
vs
GLM 5.1

Zhipu AI

76#66
Signal-by-Signal Comparison
SignalGemma 2 27BDeltaGLM 5.1
Capabilities
33
-33
67
Benchmarks
83
+7
76
Pricing
99
+2
97
Context window size
56
-20
76
Recency
0
-100
100
Output Capacity
55
-30
85
Overall Result
2 wins
of 6
4 wins
GLM 5.1 wins 4 of 6 signals

Score History

Score History (22 data points)
Gemma 2 27BGLM 5.1
Gemma 2 27B

77.1

current score

Leader

Gemma 2 27B

right now

GLM 5.1

75.8

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemma 2 27B

Google

Best Value
Per request$0.000975
Daily$3.25
Monthly$97.50
Annual$1170.00

GLM 5.1

Zhipu AI

Per request$0.002484
Daily$8.28
Monthly$248.40
Annual$2980.80

Gemma 2 27B saves you $150.90/month

That's $1810.80/year compared to GLM 5.1 at your current usage level of 100K calls/month.

61% cheaper
Choose Gemma 2 27B for cost optimization

Gemma 2 27B pricing:
Input:$0.65/M tokens
Output:$0.65/M tokens
GLM 5.1 pricing:
Input:$0.97/M tokens
Output:$3.04/M tokens
Winner
Gemma 2 27B

Google

77

Composite Score

GLM 5.1

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricGemma 2 27BGLM 5.1Winner
Overall Score
77
76
Gemma 2 27B
Rank#64#66
Gemma 2 27B
Quality Rank#64#66
Gemma 2 27B
Adoption Rank#64#66
Gemma 2 27B
Parameters27B----
Context Window8K203K
GLM 5.1
Pricing$0.65/$0.65/M$0.97/$3.04/M--
Signal Scores
Capabilities
33
67
GLM 5.1
Benchmarks
83
76
Gemma 2 27B
Pricing
99
97
Gemma 2 27B
Context window size
56
76
GLM 5.1
Recency
0
100
GLM 5.1
Output Capacity
55
85
GLM 5.1
Benchmark Head-to-Head(6 benchmarks)
Gemma 2: 0GLM 5.1: 0
Gemma 2
GLM 5.1
Normalized 0-100%
MMLU
75.2%-
HumanEval
69.5%-
GSM8K
85.3%-
ARC-Challenge
93.2%-
HellaSwag
93%-
Arena Elo
-1472
Benchmark Interpretation

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.

Gemma 2 27BStrong Performer

Scores 77/100 (rank #64), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.1Strong Performer

Scores 76/100 (rank #66), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose Gemma 2 27B when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose GLM 5.1 when you need:

  • Processing long documents or large codebases (203K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemma 2 27BBest Value
Input cost$0.65/M tokens
Output cost$0.65/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$19.50
GLM 5.1
Input cost$0.97/M tokens
Output cost$3.04/M tokens
Cost per quality point$0.053
Est. monthly (1M tokens/day)$60.03

Gemma 2 27B offers 68% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $60.03/month with GLM 5.1 - a $40.53 monthly difference.

Latency & Speed
Gemma 2 27BFaster
Speed score0/100
GLM 5.1
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemma 2 27B

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

Gemma 2 27B

Long document analysis

Larger context window (203K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5.1

Batch data extraction

Lower output pricing ($0.65/M) reduces costs when processing thousands of records daily

Gemma 2 27B

Creative writing & content

Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content

Gemma 2 27B
Which Should You Choose?
Our recommendation:
Gemma 2 27B

Gemma 2 27B and GLM 5.1 are extremely close in overall performance (only 1.2999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Gemma 2 27B
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 68% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityGemma 2 27BGLM 5.1
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 2 27B

Google

Best Value
$1.95
estimated monthly cost

GLM 5.1

Zhipu AI

$5.38
estimated monthly cost

Gemma 2 27B saves you $3.43/month

That's 64% cheaper than GLM 5.1 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.

Parameters & Context
ParameterGemma 2 27BGLM 5.1
Context Window8K203K
Max Output Tokens2,048128,000
Open SourceYesYes
CreatedJul 13, 2024Apr 7, 2026
Last updated: 55m ago

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