Model Comparison

GLM-4.5V vs GPT OSS 120B High

Comparing GLM-4.5V and GPT OSS 120B High 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 120B High 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 120B High costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 5.5x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 4.4x more expensive than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, GLM-4.5V is more expensive than GPT OSS 120B High.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat May 23 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

8.8B diff

GPT OSS 120B High has 8.8B more parameters than GLM-4.5V, making it 8.1% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
OpenAI
GPT OSS 120B High
116.8Bparameters
108.0B
GLM-4.5V
116.8B
GPT OSS 120B High

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Sat May 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas GPT OSS 120B High 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 120B High

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while GPT OSS 120B High 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 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GPT OSS 120B High was released on 2025-08-05.

GLM-4.5V is 0 month newer than GPT OSS 120B High.

GLM-4.5V

Aug 11, 2025

9 months ago

6d newer
GPT OSS 120B High

Aug 5, 2025

9 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 120B High is available from OpenAI, Fireworks.

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 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* 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 120B High

FAQ

Common questions about GLM-4.5V vs GPT OSS 120B High.

Which is better, GLM-4.5V or GPT OSS 120B High?

GLM-4.5V (Zhipu AI) and GPT OSS 120B High (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-4.5V compare to GPT OSS 120B High in benchmarks?

GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.

Is GLM-4.5V cheaper than GPT OSS 120B High?

GPT OSS 120B High is 5.5x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for GLM-4.5V and GPT OSS 120B High?

GLM-4.5V supports 131K tokens and GPT OSS 120B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5V and GPT OSS 120B High?

Key differences include input pricing ($0.55 vs $0.10/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5V and GPT OSS 120B High?

GLM-4.5V is developed by Zhipu AI and GPT OSS 120B High is developed by OpenAI.