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DeepSeek R1 vs GLM 5.2

At a glance
DeepSeekDeepSeek R1

Open-source reasoning model matching OpenAI o1 performance.

7264K ctx$0.70/$2.50 per M#51/92
Zhipu AIGLM 5.2

Z.ai's frontier reasoning model for long-context agents and software engineering.

83262K ctx$1.40/$4.40 per M#16/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
DeepSeekDeepSeek R1
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI72.4
Reasoning & Knowledge
Graduate Science69.2%Factual Recall—
Math
Math Problems93.1%Competition Math53.3%
Coding
Real-World Coding—Code Editing56.9%
Agentic
Novel Reasoning1.3%Task Horizon27min
Zhipu AIGLM 5.2
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Math Problems—Competition Math86.4%
Coding
Real-World Coding78.7%Code Editing—
Agentic
Novel Reasoning—Task Horizon—
Specs
DeepSeekDeepSeek R1
64K
Context
16K
Max output
Jan 2025
Released
Zhipu AIGLM 5.2
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
DeepSeekDeepSeek R1
Vision
Audio
Reasoning
Zhipu AIGLM 5.2
Vision
Audio
Reasoning
Pricing
DeepSeekDeepSeek R1
Live pricing, shown before you run
Input$0.70/M tokens
Output$2.50/M tokens
Zhipu AIGLM 5.2
Live pricing, shown before you run
Input$1.40/M tokens
Output$4.40/M tokens
Cache read$0.26/M tokens
Chat with DeepSeek R1Go to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: DeepSeek R1 vs GLM 5.2▼

Which is better, DeepSeek R1 or GLM 5.2?

▼

Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 72.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, DeepSeek R1 or GLM 5.2?

▼

DeepSeek R1 has a lower blended cost. DeepSeek R1: $0.70 input / $2.50 output. GLM 5.2: $1.40 input / $4.40 output.

Which has a larger context window, DeepSeek R1 or GLM 5.2?

▼

GLM 5.2 has a larger context window: DeepSeek R1 supports 64K tokens vs GLM 5.2 at 262K tokens.

What are the key differences between DeepSeek R1 and GLM 5.2?

▼

Key differences: GLM 5.2 has a notably higher capability index (11.0 point gap). 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 DeepSeek R1 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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