GLM-5.3-Flash vs GPT-6.1 Terra
GLM-5.3-Flash and GPT-6.1 Terra are closely matched at 48.3 and 47.6 on the LLM Stats Score. GLM-5.3-Flash is 8.4x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.3-Flash and GPT-6.1 Terra are closely matched on the overall LLM Stats Score at 48.3 and 47.6.
In the 1 individual benchmarks reported for both models, GPT-6.1 Terra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 8.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- cost matters — it's about 8.4x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6.1 Terra
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GLM-5.3-Flash · 9 for GPT-6.1 Terra
GLM-5.3-Flash outperforms in 0 benchmarks, while GPT-6.1 Terra is better at 1 benchmark (Agents' Last Exam).
GPT-6.1 Terra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 6.7x cheaper than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 10.0x cheaper than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to GLM-5.3-Flash's 1,048,576 tokens. GLM-5.3-Flash can generate longer responses up to 1,048,576 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5.3-Flash and GPT-6.1 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5.3-Flash
GPT-6.1 Terra
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while GPT-6.1 Terra uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3-Flash was released on 2026-08-26, while GPT-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 2 months newer than GLM-5.3-Flash.
Aug 26, 2026
2 months ago
Oct 26, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while GLM-5.3-Flash's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.
—
Jun 2026
Provider Availability
GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. GPT-6.1 Terra is available from OpenAI.
GLM-5.3-Flash
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs GPT-6.1 Terra.