Gemma 3 27B vs GLM-5.3-Flash
Comparing Gemma 3 27B and GLM-5.3-Flash across benchmarks, pricing, and capabilities.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemma 3 27B and GLM-5.3-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Gemma 3 27B is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemma 3 27B
- cost matters — it's about 1.9x cheaper per token
Choose GLM-5.3-Flash
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 27B and GLM-5.3-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 27B ($0.10/1M tokens) is 1.5x cheaper than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Gemma 3 27B ($0.20/1M tokens) is 2.5x cheaper than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, GLM-5.3-Flash is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3-Flash has 293.0B more parameters than Gemma 3 27B, making it 1085.2% larger.
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,048,576 input tokens compared to Gemma 3 27B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3 27B and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 27B
GLM-5.3-Flash
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while GLM-5.3-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while GLM-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 18 months newer than Gemma 3 27B.
Mar 12, 2025
1.5 years ago
Aug 26, 2026
1 days ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. GLM-5.3-Flash is available from DeepInfra, Novita, ZAI.
Gemma 3 27B
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs GLM-5.3-Flash.