Gemini 3.8 Flash vs GLM-5.2
Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 45.6. GLM-5.2 is 1.3x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to 45.6, ranking #12 overall.
In the 2 individual benchmarks reported for both models, Gemini 3.8 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.2 is roughly 1.3x 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 Gemini 3.8 Flash
- overall performance matters — it scores 51.2 and ranks #12 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose GLM-5.2
- cost matters — it's about 1.3x cheaper per token
- 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
13 reported for Gemini 3.8 Flash · 19 for GLM-5.2
Gemini 3.8 Flash outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while GLM-5.2 is better at 0 benchmarks.
Gemini 3.8 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 3.8 Flash ($0.75/1M tokens) costs the same as GLM-5.2 ($0.75/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 1.6x more expensive than GLM-5.2 ($2.40/1M tokens).
In conclusion, Gemini 3.8 Flash is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. GLM-5.2 can generate longer responses up to 1,048,576 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.8 Flash supports multimodal inputs, whereas GLM-5.2 does not.
Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.8 Flash
GLM-5.2
License
Usage and distribution terms
Gemini 3.8 Flash is licensed under a proprietary license, while GLM-5.2 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 3.8 Flash was released on 2026-09-02, while GLM-5.2 was released on 2026-06-16.
Gemini 3.8 Flash is 3 months newer than GLM-5.2.
Sep 2, 2026
1 weeks ago
2mo newerJun 16, 2026
2 months ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while GLM-5.2's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GLM-5.2's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Gemini 3.8 Flash
GLM-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and GLM-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs GLM-5.2.