Model Comparison

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

Comparing GLM-5 and GPT OSS 120B across benchmarks, pricing, and capabilities.

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

GLM-5 (by Zhipu AI) and GPT OSS 120B (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.

On price, GPT OSS 120B is roughly 8.6x 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 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 if…

  • cost matters — it's about 8.6x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GPT OSS 120B 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 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 11.1x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 7.1x more expensive than GPT OSS 120B ($0.45/1M tokens).

In conclusion, GLM-5 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
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, making it 537.0% larger.

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

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to GPT OSS 120B's 131,072 tokens. GPT OSS 120B 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
Input131,072 tokens
Output131,072 tokens
Mon Jun 08 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT OSS 120B 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

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

GLM-5

Feb 11, 2026

3 months ago

6mo newer
GPT OSS 120B

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 is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

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

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
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
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
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)
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

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

GLM-5 (Zhipu AI) and GPT OSS 120B (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-5 compare to GPT OSS 120B 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 scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

Is GLM-5 cheaper than GPT OSS 120B?

GPT OSS 120B is 11.1x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra.

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

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

Key differences include context window (200K vs 131K), input pricing ($1.00 vs $0.09/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?

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

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