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DeepSeek V3.1 vs GLM 5.2

At a glance
DeepSeekDeepSeek V3.1

Large hybrid reasoning model supporting thinking and non-thinking modes.

72164K ctx$0.21/$0.79 per M#54/92
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 V3.1
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch ECI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI71.6
Reasoning & Knowledge
Graduate Science—Factual Recall—
Math
Competition Math—
Coding
Real-World Coding—
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
Competition Math86.4%
Coding
Real-World Coding78.7%
Specs
DeepSeekDeepSeek V3.1
164K
Context
33K
Max output
Aug 2025
Released
Zhipu AIGLM 5.2
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
DeepSeekDeepSeek V3.1
Vision
Audio
Reasoning
Zhipu AIGLM 5.2
Vision
Audio
Reasoning
Pricing
DeepSeekDeepSeek V3.1
Live pricing, shown before you run
Input$0.21/M tokens
Output$0.79/M tokens
Cache read$0.13/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 V3.1Go to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: DeepSeek V3.1 vs GLM 5.2▼

Which is better, DeepSeek V3.1 or GLM 5.2?

▼

Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 71.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, DeepSeek V3.1 or GLM 5.2?

▼

DeepSeek V3.1 has a lower blended cost. DeepSeek V3.1: $0.21 input / $0.79 output. GLM 5.2: $1.40 input / $4.40 output.

Which has a larger context window, DeepSeek V3.1 or GLM 5.2?

▼

GLM 5.2 has a larger context window: DeepSeek V3.1 supports 164K tokens vs GLM 5.2 at 262K tokens.

What are the key differences between DeepSeek V3.1 and GLM 5.2?

▼

Key differences: GLM 5.2 has a notably higher capability index (11.8 point gap); DeepSeek V3.1 is significantly cheaper. 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 V3.1 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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