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GLM 5 vs DeepSeek V3.1

Detailed technical comparison between GLM 5 (Zhipu AI) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GLM 5: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GLM 5

204,800 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Zhipu AIactive

GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

View GLM 5 Full Specs →
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGLM 5DeepSeek V3.1
ProviderZhipu AIDeepSeek
Context Window204,800 tokens🏆163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-02-112025-08-21

API Pricing Comparison

Input Price per Million Tokens

GLM 5

$0.95

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GLM 5

$2.55

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 3.8x cheaper per input token than GLM 5.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
86.5%vs80.0%+6.5% GLM 5
GLM 5 🏆
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
87.0%vs78.2%+8.8% GLM 5
GLM 5 🏆
DeepSeek V3.1
MATHComplex mathematical problem solving
74.0%vs55.4%+18.6% GLM 5
GLM 5 🏆
DeepSeek V3.1
GPQAGraduate-level expert reasoning
48.0%vs40.8%+7.2% GLM 5
GLM 5 🏆
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
87.0%vs83.0%+4.0% GLM 5
GLM 5 🏆
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.1%vs8.6%+0.5% GLM 5
GLM 5 🏆
DeepSeek V3.1

GLM 5 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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