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Gemini 3.1 Pro vs GLM-4.7
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 24.1% higher average benchmark score. Gemini 3.1 Pro offers 910.0K more tokens in context window than GLM-4.7. GLM-4.7 is $13.00 cheaper per million tokens. Gemini 3.1 Pro supports multimodal inputs. Overall, Gemini 3.1 Pro is the stronger choice for coding tasks.
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Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
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Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
1 month newer
GLM-4.7
Zhipu AI
2025-12-22
Gemini 3.1 Pro
Google DeepMind
2026-02-19
Pricing Comparison
Cost per million tokens (USD)
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Gemini 3.1 Pro
Input:$2.00
Output:$12.00
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GLM-4.7
Input:$0.50
Output:$0.50($13.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 3.1 Pro
Average Score:77.7%(+24.1%)
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GLM-4.7
Average Score:53.6%
Performance comparison across key benchmark categories
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Gemini 3.1 Pro
Coding77.7%(+24.1%)
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GLM-4.7
Coding53.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 3.1 Pro
2025-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 3.1 Pro
1 providers
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GLM-4.7
1 providers
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Gemini 3.1 Pro
Avg Score:77.7%(+24.1%)
Providers:1
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GLM-4.7
Avg Score:53.6%
Providers:1