Model Comparison

GLM-5 vs GPT OSS 120B HighWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks. GPT OSS 120B High is 7.8x cheaper per token.

Verdict: GLM-5 vs GPT OSS 120B High — which is better?

GLM-5 (by Zhipu AI) and GPT OSS 120B High (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-5 outperforms in 1 benchmarks (t2-bench), while GPT OSS 120B High is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, GPT OSS 120B High is roughly 7.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GPT OSS 120B High if…

  • cost matters — it's about 7.8x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (t2-bench), while GPT OSS 120B High is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B High costs less

For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 6.4x more expensive than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, GLM-5 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 Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
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

627.2B diff

GLM-5 has 627.2B more parameters than GPT OSS 120B High, making it 537.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
OpenAI
GPT OSS 120B High
116.8Bparameters
744.0B
GLM-5
116.8B
GPT OSS 120B High

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 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-5

MIT

Open weights

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT OSS 120B High was released on 2025-08-05.

GLM-5 is 6 months newer than GPT OSS 120B High.

GLM-5

Feb 11, 2026

3 months ago

6mo newer
GPT OSS 120B High

Aug 5, 2025

10 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-5 is available from FriendliAI, ZAI. GPT OSS 120B High is available from OpenAI, Fireworks.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher t2-bench score (89.7% vs 63.9%)
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT OSS 120B High

FAQ

Common questions about GLM-5 vs GPT OSS 120B High.

Which is better, GLM-5 or GPT OSS 120B High?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and GPT OSS 120B High is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to GPT OSS 120B High in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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-5 cheaper than GPT OSS 120B High?

GPT OSS 120B High is 10.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for GLM-5 and GPT OSS 120B High?

GLM-5 supports 200K 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-5 and GPT OSS 120B High?

Key differences include context window (200K vs 131K), input pricing ($1.00 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and GPT OSS 120B High?

GLM-5 is developed by Zhipu AI and GPT OSS 120B High is developed by OpenAI.

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