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Gemini 4 Argon vs GLM 4.7

At a glance

Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.

1.0M ctx$2.00/$10.00 per M

Zhipu AI's advanced model with strong reasoning and multimodal support.

76205K ctx$0.54/$1.98 per M#39/92
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Capability
Capability—
Reasoning & Knowledge
Graduate Science—Factual Recall—
Math
Competition Math—
Agentic
Terminal Tasks—
Reasoning
CodingInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-10-02
Cheaper77%
Capability
CapabilityECI76.1
Reasoning & Knowledge
Graduate Science83.3%Factual Recall32.2%
Math
Competition Math83.3%
Agentic
Terminal Tasks33.4%
Specs
1.0M
Context
66K
Max output
Oct 2026
Released
205K
Context
131K
Max output
Dec 2025
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$2.00/M tokens
Output$10.00/M tokens
Reasoning$10.00/M tokens
Cache read$0.10/M tokens
Cache write$0.19/M tokens
Image input$2.00/M tokens
Audio input$2.00/M tokens
Web search$0.01/search
Live pricing, shown before you run
Input73%$0.54/M tokens
Output80%$1.98/M tokens
Cache read1%$0.10/M tokens
Chat with Gemini 4 ArgonGo to model
Chat with GLM 4.7Go to model
Frequently Asked Questions: Gemini 4 Argon vs GLM 4.7▼

Which is better, Gemini 4 Argon or GLM 4.7?

▼

Both Gemini 4 Argon and GLM 4.7 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Gemini 4 Argon or GLM 4.7?

▼

GLM 4.7 has a lower blended cost. Gemini 4 Argon: $2.00 input / $10.00 output. GLM 4.7: $0.54 input / $1.98 output.

Which has a larger context window, Gemini 4 Argon or GLM 4.7?

▼

Gemini 4 Argon has a larger context window: Gemini 4 Argon supports 1M tokens vs GLM 4.7 at 205K tokens.

Do both Gemini 4 Argon and GLM 4.7 support vision?

▼

Gemini 4 Argon supports vision/image input, but GLM 4.7 does not.

What are the key differences between Gemini 4 Argon and GLM 4.7?

▼

Key differences: GLM 4.7 is significantly cheaper; only Gemini 4 Argon supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemini 4 Argon and GLM 4.7 for free on idapt.app to see which performs better for your specific needs.

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