GLM-4.5V vs GPT OSS 20B
Comparing GLM-4.5V and GPT OSS 20B across benchmarks, pricing, and capabilities.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-4.5V and GPT OSS 20B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GPT OSS 20B is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-4.5V
- you want the most recent training data — it shipped Aug 2025
Choose GPT OSS 20B
- cost matters — it's about 11.0x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GLM-4.5V · 7 for GPT OSS 20B
GLM-4.5V and GPT OSS 20Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.5V ($0.55/1M tokens) is 11.0x more expensive than GPT OSS 20B ($0.05/1M tokens).
For output processing, GLM-4.5V ($2.19/1M tokens) is 10.9x more expensive than GPT OSS 20B ($0.20/1M tokens).
In conclusion, GLM-4.5V is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-4.5V has 87.1B more parameters than GPT OSS 20B, making it 416.7% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while GPT OSS 20B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GLM-4.5V supports multimodal inputs, whereas GPT OSS 20B does not.
GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.5V
GPT OSS 20B
License
Usage and distribution terms
GLM-4.5V is licensed under MIT, while GPT OSS 20B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-4.5V was released on 2025-08-11, while GPT OSS 20B was released on 2025-08-05.
GLM-4.5V is 0 month newer than GPT OSS 20B.
Aug 11, 2025
1.1 years ago
6d newerAug 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-4.5V is available from Fireworks, Novita. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.
GLM-4.5V
GPT OSS 20B
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.5V and GPT OSS 20B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.5V vs GPT OSS 20B.