Model Comparison

GLM-4.5V vs GPT OSS 20B

Comparing GLM-4.5V and GPT OSS 20B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and GPT OSS 20B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

87.1B diff

GLM-4.5V has 87.1B more parameters than GPT OSS 20B, making it 416.7% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
108.0B
GLM-4.5V
20.9B
GPT OSS 20B

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.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

GPT OSS 20B

Text
Images
Audio
Video

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.

GLM-4.5V

MIT

Open weights

GPT OSS 20B

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.

GLM-4.5V

Aug 11, 2025

8 months ago

6d newer
GPT OSS 20B

Aug 5, 2025

8 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-4.5V is available from Fireworks, Novita. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Supports multimodal inputs
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
OpenAI
GPT OSS 20B

FAQ

Common questions about GLM-4.5V vs GPT OSS 20B

GLM-4.5V (Zhipu AI) and GPT OSS 20B (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.
GPT OSS 20B is 11.0x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.
GLM-4.5V supports 131K tokens and GPT OSS 20B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.55 vs $0.05/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and GPT OSS 20B is developed by OpenAI.