GLM-5.3-Flash vs Grok-3
Comparing GLM-5.3-Flash and Grok-3 across benchmarks, pricing, and capabilities.
Zhipu AI · xAI · Updated for 2026
Which is better?
GLM-5.3-Flash and Grok-3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3-Flash is roughly 25.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash also accepts a larger context window (1,048,576 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-Flash
- cost matters — it's about 25.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Grok-3
- you want predictable pricing at $3.00/M input and $15.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3-Flash and Grok-3don'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
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 20.0x cheaper than Grok-3 ($3.00/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 30.0x cheaper than Grok-3 ($15.00/1M tokens).
In conclusion, Grok-3 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
GLM-5.3-Flash accepts 1,048,576 input tokens compared to Grok-3's 128,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Grok-3 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Both GLM-5.3-Flash and Grok-3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5.3-Flash
Grok-3
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Grok-3 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 Grok-3 was released on 2025-02-17.
GLM-5.3-Flash is 19 months newer than Grok-3.
Aug 26, 2026
0 days ago
1.5yr newerFeb 17, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while GLM-5.3-Flash's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.
—
Nov 2024
Provider Availability
GLM-5.3-Flash is available from DeepInfra, Novita, ZAI. Grok-3 is available from xAI.
GLM-5.3-Flash
Grok-3
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Grok-3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Grok-3.