The AI arena is free today

Open Superagent

GLM-5.3-Flash vs GPT-6 Rosalind

Comparing GLM-5.3-Flash and GPT-6 Rosalind across benchmarks, pricing, and capabilities.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GLM-5.3-Flash and GPT-6 Rosalind trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-5.3-Flash is roughly 126.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3-Flash

  • cost matters — it's about 126.3x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
GPT-6 Rosalind
OpenAI
Benchmark wins
—
—
Input price
$0.15 / M
$15.00 / M
Output price
$0.50 / M
$75.00 / M
Context window
1,048,576
—

Individual benchmarks

15 reported for GLM-5.3-Flash · 0 for GPT-6 Rosalind

No common benchmarks found

GLM-5.3-Flash and GPT-6 Rosalinddon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 100.0x cheaper than GPT-6 Rosalind ($15.00/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 150.0x cheaper than GPT-6 Rosalind ($75.00/1M tokens).

In conclusion, GPT-6 Rosalind is more expensive than GLM-5.3-Flash.*

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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
OpenAI
GPT-6 Rosalind
Input tokens$15.00
Output tokens$75.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (1,048,576 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and GPT-6 Rosalind support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

GPT-6 Rosalind

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while GPT-6 Rosalind uses a proprietary license.

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

GLM-5.3-Flash

MIT

Open weights

GPT-6 Rosalind

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while GPT-6 Rosalind was released on 2026-10-30.

GPT-6 Rosalind is 2 months newer than GLM-5.3-Flash.

GLM-5.3-Flash

Aug 26, 2026

2 months ago

GPT-6 Rosalind

Oct 30, 2026

5 days ago

2mo newer

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-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. GPT-6 Rosalind is available from OpenAI.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

GPT-6 Rosalind

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and GPT-6 Rosalind side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
GPT-6 Rosalind
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs GPT-6 Rosalind.

Which is better, GLM-5.3-Flash or GPT-6 Rosalind?

GLM-5.3-Flash (Zhipu AI) and GPT-6 Rosalind (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-Flash compare to GPT-6 Rosalind in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

Is GLM-5.3-Flash cheaper than GPT-6 Rosalind?

GLM-5.3-Flash is 100.0x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra. GPT-6 Rosalind costs $15.00/M input and $75.00/M output via openai.

What are the context window sizes for GLM-5.3-Flash and GPT-6 Rosalind?

GLM-5.3-Flash supports 1.0M tokens and GPT-6 Rosalind supports an unknown number of 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-Flash and GPT-6 Rosalind?

Key differences include input pricing ($0.15 vs $15.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and GPT-6 Rosalind?

GLM-5.3-Flash is developed by Zhipu AI and GPT-6 Rosalind is developed by OpenAI.

Related comparisons