Gemini 3.5 Flash vs GLM-5.3-Flash
GLM-5.3-Flash leads the LLM Stats Score 50.6 to 42.6. GLM-5.3-Flash is 14.2x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
GLM-5.3-Flash leads the overall LLM Stats Score 50.6 to 42.6, ranking #16 overall.
In the 4 individual benchmarks reported for both models, GLM-5.3-Flash wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 14.2x 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.5 Flash
- you want predictable pricing at $1.50/M input and $9.00/M output
Choose GLM-5.3-Flash
- overall performance matters — it scores 50.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 14.2x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Gemini 3.5 Flash · 15 for GLM-5.3-Flash
Gemini 3.5 Flash outperforms in 0 benchmarks, while GLM-5.3-Flash is better at 4 benchmarks (CharXiv-R, DeepSWE 1.1, Humanity's Last Exam, Toolathlon).
GLM-5.3-Flash 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, Gemini 3.5 Flash ($1.50/1M tokens) is 10.0x more expensive than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Gemini 3.5 Flash ($9.00/1M tokens) is 18.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, Gemini 3.5 Flash 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 Gemini 3.5 Flash's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 1,048,576 tokens, while Gemini 3.5 Flash is limited to 1,000,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.5 Flash and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash
GLM-5.3-Flash
License
Usage and distribution terms
Gemini 3.5 Flash is licensed under a proprietary license, while GLM-5.3-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash was released on 2026-05-19, while GLM-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 3 months newer than Gemini 3.5 Flash.
May 19, 2026
3 months ago
Aug 26, 2026
2 weeks ago
3mo newerKnowledge Cutoff
When training data ends
Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while GLM-5.3-Flash's cutoff date is not specified.
We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.
Jan 2026
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Provider Availability
Gemini 3.5 Flash is available from DeepInfra, Google. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.
Gemini 3.5 Flash
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash vs GLM-5.3-Flash.