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GLM 4.7 vs DeepSeek V3.1

Detailed technical comparison between GLM 4.7 (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 4.7: 4 WinsvsDeepSeek V3.1: 2 Wins
Context Leader

GLM 4.7

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 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

View GLM 4.7 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 4.7DeepSeek V3.1
ProviderZhipu AIDeepSeek
Context Window204,800 tokens🏆163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-222025-08-21

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GLM 4.7

$1.75

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 1.6x cheaper per input token than GLM 4.7.

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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
81.5%vs80.0%+1.5% GLM 4.7
GLM 4.7 🏆
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
82.0%vs78.2%+3.8% GLM 4.7
GLM 4.7 🏆
DeepSeek V3.1
MATHComplex mathematical problem solving
51.5%vs55.4%+3.9% DeepSeek V3.1
GLM 4.7
DeepSeek V3.1 🏆
GPQAGraduate-level expert reasoning
38.0%vs40.8%+2.8% DeepSeek V3.1
GLM 4.7
DeepSeek V3.1 🏆
HellaSwagCommonsense reasoning and inference
83.5%vs83.0%+0.5% GLM 4.7
GLM 4.7 🏆
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
8.7%vs8.6%+0.1% GLM 4.7
GLM 4.7 🏆
DeepSeek V3.1

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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