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Gemini 1.5 Flash vs GLM-4.5-Air

GLM-4.5-Air leads the LLM Stats Score 24.6 to 6.1.

Google · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.6 to 6.1, ranking #153 overall.

In the 2 individual benchmarks reported for both models, GLM-4.5-Air wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.5 Flash

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.6 and ranks #153 on LLM Stats
  • your work emphasizes reasoning — 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 Jul 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Flash
Google
GLM-4.5-Air
Zhipu AI
Core performance indexes
LLM Stats Score
6.1
#282
24.6
#153
Reasoning
5.8
#280
24.0
#151
Coding
-0.3
#234
11.6
#148
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Flash
GLM-4.5-Air
Math
10.9#240
22.7#128
Finance
6.0#157
26.7#41
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 14 for GLM-4.5-Air

2 shared

Gemini 1.5 Flash outperforms in 0 benchmarks, while GLM-4.5-Air is better at 2 benchmarks (GPQA, MMLU-Pro).

GLM-4.5-Air significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash supports multimodal inputs, whereas GLM-4.5-Air does not.

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash

Text
Images
Audio
Video

GLM-4.5-Air

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash is licensed under a proprietary license, while GLM-4.5-Air uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.5 Flash

Proprietary

Closed source

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 15 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.4 years ago

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while GLM-4.5-Air's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

Gemini 1.5 Flash

Nov 2023

GLM-4.5-Air

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash and GLM-4.5-Air side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash
✓ Preferred
GLM-4.5-Air
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs GLM-4.5-Air.

Which is better, Gemini 1.5 Flash or GLM-4.5-Air?

GLM-4.5-Air leads the LLM Stats Score 24.6 to 6.1. Gemini 1.5 Flash is made by Google and GLM-4.5-Air 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 1.5 Flash compare to GLM-4.5-Air in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for Gemini 1.5 Flash and GLM-4.5-Air?

Gemini 1.5 Flash supports 1.0M tokens and GLM-4.5-Air supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Flash and GLM-4.5-Air?

Key differences include LLM Stats Score (6.1 vs 24.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and GLM-4.5-Air?

Gemini 1.5 Flash is developed by Google and GLM-4.5-Air is developed by Zhipu AI.

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