Gemini 3.7 Flash vs GLM-5.3
Gemini 3.7 Flash and GLM-5.3 are closely matched at 49.1 and 53.4 on the LLM Stats Score. Gemini 3.7 Flash is 1.3x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemini 3.7 Flash and GLM-5.3 are closely matched on the overall LLM Stats Score at 49.1 and 53.4.
In the 6 individual benchmarks reported for both models, GLM-5.3 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.7 Flash is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 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 3.7 Flash
- cost matters — it's about 1.3x cheaper per token
Choose GLM-5.3
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
- 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
18 reported for Gemini 3.7 Flash · 17 for GLM-5.3
Gemini 3.7 Flash outperforms in 0 benchmarks, while GLM-5.3 is better at 6 benchmarks (Agents' Last Exam, AutomationBench, DeepSWE 1.1, GDPval-AA, Terminal-Bench 2.1, Terminal-Bench 3.0).
GLM-5.3 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 3.7 Flash ($0.75/1M tokens) is 1.6x cheaper than GLM-5.3 ($1.20/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.1x cheaper than GLM-5.3 ($4.00/1M tokens).
In conclusion, GLM-5.3 is more expensive than Gemini 3.7 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,048,576 input tokens compared to Gemini 3.7 Flash's 1,000,000 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while Gemini 3.7 Flash is limited to 1,000,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.7 Flash supports multimodal inputs, whereas GLM-5.3 does not.
Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.7 Flash
GLM-5.3
License
Usage and distribution terms
Gemini 3.7 Flash is licensed under a proprietary license, while GLM-5.3 uses GLM-5.3 License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
GLM-5.3 License
Open weights
Release Timeline
When each model was launched
Gemini 3.7 Flash was released on 2026-08-13, while GLM-5.3 was released on 2026-08-14.
GLM-5.3 is 0 month newer than Gemini 3.7 Flash.
Aug 13, 2026
3 weeks ago
Aug 14, 2026
3 weeks ago
1d newerKnowledge Cutoff
When training data ends
Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while GLM-5.3's cutoff date is not specified.
We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GLM-5.3's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.7 Flash is available from DeepInfra, Google. GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI.
Gemini 3.7 Flash
GLM-5.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and GLM-5.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs GLM-5.3.