The AI arena is free today

Open Superagent

Gemini 3.6 Flash vs GLM-5.2

Gemini 3.6 Flash and GLM-5.2 are closely matched at 43.5 and 45.7 on the LLM Stats Score. GLM-5.2 is 2.1x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.6 Flash and GLM-5.2 are closely matched on the overall LLM Stats Score at 43.5 and 45.7.

In the 3 individual benchmarks reported for both models, GLM-5.2 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-5.2 is roughly 2.1x 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 3.6 Flash

  • you want the most recent training data — it shipped Jul 2026

Choose GLM-5.2

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 2.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
43.5
#36
45.7
#26
40.2
#51
45.0
#29
28.9
#52
35.3
#26
27.5
#38
29.7
#32
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$1.50 / M
$0.95 / M
Output price
$7.50 / M
$3.00 / M
Context window
1,048,576
1,048,576

Individual benchmarks

7 reported for Gemini 3.6 Flash · 19 for GLM-5.2

3 shared

Gemini 3.6 Flash outperforms in 1 benchmarks (DeepSWE 1.1), while GLM-5.2 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.1).

GLM-5.2 shows notably better performance in the majority of benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.2 costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 1.6x more expensive than GLM-5.2 ($0.95/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 2.5x more expensive than GLM-5.2 ($3.00/1M tokens).

In conclusion, Gemini 3.6 Flash is more expensive than GLM-5.2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
Zhipu AI
GLM-5.2
Input tokens$0.95
Output tokens$3.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

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 131,072 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.6 Flash supports multimodal inputs, whereas GLM-5.2 does not.

Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.6 Flash

Text
Images
Audio
Video

GLM-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 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.

Gemini 3.6 Flash

Proprietary

Closed source

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while GLM-5.2 was released on 2026-06-16.

Gemini 3.6 Flash is 1 month newer than GLM-5.2.

Gemini 3.6 Flash

Jul 21, 2026

1 months ago

1mo newer
GLM-5.2

Jun 16, 2026

2 months ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while GLM-5.2's cutoff date is not specified.

We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GLM-5.2's cutoff date.

Gemini 3.6 Flash

Mar 2026

GLM-5.2

Provider Availability

Gemini 3.6 Flash is available from Google. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

GLM-5.2

deepinfra logo
Deepinfra
Input Price:Input: $0.95/1MOutput Price:Output: $3.00/1M
fireworks logo
Fireworks
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
together logo
Together
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and GLM-5.2 side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
GLM-5.2
Open in Playground

FAQ

Common questions about Gemini 3.6 Flash vs GLM-5.2.

Which is better, Gemini 3.6 Flash or GLM-5.2?

Gemini 3.6 Flash and GLM-5.2 are closely matched on the LLM Stats Score at 43.5 and 45.7. Gemini 3.6 Flash is made by Google and GLM-5.2 is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.6 Flash compare to GLM-5.2 in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

Is Gemini 3.6 Flash cheaper than GLM-5.2?

GLM-5.2 is 1.6x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google. GLM-5.2 costs $0.95/M input and $3.00/M output via deepinfra.

What are the context window sizes for Gemini 3.6 Flash and GLM-5.2?

Gemini 3.6 Flash supports 1.0M tokens and GLM-5.2 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.6 Flash and GLM-5.2?

Key differences include LLM Stats Score (43.5 vs 45.7), input pricing ($1.50 vs $0.95/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and GLM-5.2?

Gemini 3.6 Flash is developed by Google and GLM-5.2 is developed by Zhipu AI.