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Gemini 4 Argon vs GLM-4.6

Gemini 4 Argon leads the LLM Stats Score 55.1 to 28.5. GLM-4.6 is 4.6x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 28.5, ranking #4 overall.

On price, GLM-4.6 is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 4 Argon 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 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose GLM-4.6

  • cost matters — it's about 4.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GLM-4.6
Zhipu AI
Core performance indexes
LLM Stats Score
55.1
#4
28.5
#156
Reasoning
53.2
#6
28.5
#149
Coding
42.5
#7
14.5
#153
Agents
41.2
#4
8.9
#151
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.50 / M
Output price
$10.00 / M
$2.00 / M
Context window
1,048,576
202,752

Individual benchmarks

19 reported for Gemini 4 Argon · 7 for GLM-4.6

No common benchmarks found

Gemini 4 Argon and GLM-4.6don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.6 costs less

For input processing, Gemini 4 Argon ($2.00/1M tokens) is 4.0x more expensive than GLM-4.6 ($0.50/1M tokens).

For output processing, Gemini 4 Argon ($10.00/1M tokens) is 5.0x more expensive than GLM-4.6 ($2.00/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
Zhipu AI
GLM-4.6
Input tokens$0.50
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 4 Argon accepts 1,048,576 input tokens compared to GLM-4.6's 202,752 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GLM-4.6 is limited to 202,752 tokens.

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Zhipu AI
GLM-4.6
Input202,752 tokens
Output202,752 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GLM-4.6 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

GLM-4.6

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while GLM-4.6 uses MIT.

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

Gemini 4 Argon

Proprietary

Closed source

GLM-4.6

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GLM-4.6 was released on 2025-09-30.

Gemini 4 Argon is 12 months newer than GLM-4.6.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

1.0yr newer
GLM-4.6

Sep 30, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Gemini 4 Argon is available from Google. GLM-4.6 is available from DeepInfra, Fireworks.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

GLM-4.6

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GLM-4.6 side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GLM-4.6
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GLM-4.6.

Which is better, Gemini 4 Argon or GLM-4.6?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 28.5. Gemini 4 Argon is made by Google and GLM-4.6 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 4 Argon compare to GLM-4.6 in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%.

Is Gemini 4 Argon cheaper than GLM-4.6?

GLM-4.6 is 4.0x cheaper for input tokens. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google. GLM-4.6 costs $0.50/M input and $2.00/M output via deepinfra.

What are the context window sizes for Gemini 4 Argon and GLM-4.6?

Gemini 4 Argon supports 1.0M tokens and GLM-4.6 supports 203K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and GLM-4.6?

Key differences include LLM Stats Score (55.1 vs 28.5), context window (1.0M vs 203K), input pricing ($2.00 vs $0.50/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GLM-4.6?

Gemini 4 Argon is developed by Google and GLM-4.6 is developed by Zhipu AI.

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