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GLM-5.3 vs o1

Comparing GLM-5.3 and o1 across benchmarks, pricing, and capabilities.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GLM-5.3 and o1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-5.3 is roughly 12.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • cost matters — it's about 12.2x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose o1

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
o1
OpenAI
Benchmark wins
—
—
Input price
$1.40 / M
$15.00 / M
Output price
$4.40 / M
$60.00 / M
Context window
1,000,000
200,000
Released
Aug 2026
Dec 2024
License
Unknown
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and o1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 10.7x cheaper than o1 ($15.00/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 13.6x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than GLM-5.3.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to o1's 200,000 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while o1 is limited to 100,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while o1 was released on 2024-12-17.

GLM-5.3 is 20 months newer than o1.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.7yr newer
o1

Dec 17, 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-5.3 is available from ZAI. o1 is available from Azure, OpenAI.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and o1 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
o1
Open in Playground

FAQ

Common questions about GLM-5.3 vs o1.

Which is better, GLM-5.3 or o1?

GLM-5.3 (Zhipu AI) and o1 (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-5.3 compare to o1 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

Is GLM-5.3 cheaper than o1?

GLM-5.3 is 10.7x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. o1 costs $15.00/M input and $60.00/M output via azure.

What are the context window sizes for GLM-5.3 and o1?

GLM-5.3 supports 1.0M tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and o1?

Key differences include context window (1.0M vs 200K), input pricing ($1.40 vs $15.00/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and o1?

GLM-5.3 is developed by Zhipu AI and o1 is developed by OpenAI.

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