Model Comparison

GLM-5 vs o1-miniWhich is better in 2026?

Comparing GLM-5 and o1-mini across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs o1-mini — which is better?

GLM-5 (by Zhipu AI) and o1-mini (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, GLM-5 is roughly 3.4x 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…

  • cost matters — it's about 3.4x cheaper per token
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose o1-mini if…

  • you want predictable pricing at $3.00/M input and $12.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and o1-mini 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

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 3.8x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than GLM-5.*

* 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
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to o1-mini's 128,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while o1-mini uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while o1-mini was released on 2024-09-12.

GLM-5 is 17 months newer than o1-mini.

GLM-5

Feb 11, 2026

3 months ago

1.4yr newer
o1-mini

Sep 12, 2024

1.7 years 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. o1-mini is available from OpenAI, Azure.

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

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* 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)
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
o1-mini

FAQ

Common questions about GLM-5 vs o1-mini.

Which is better, GLM-5 or o1-mini?

GLM-5 (Zhipu AI) and o1-mini (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 o1-mini 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%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

Is GLM-5 cheaper than o1-mini?

GLM-5 is 3.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. o1-mini costs $3.00/M input and $12.00/M output via openai.

What are the context window sizes for GLM-5 and o1-mini?

GLM-5 supports 200K tokens and o1-mini supports 128K 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 o1-mini?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $3.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and o1-mini?

GLM-5 is developed by Zhipu AI and o1-mini is developed by OpenAI.

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