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GLM 5V Turbo vs DeepSeek V3.1

Detailed technical comparison between GLM 5V Turbo (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.

โšก Executive Summary & Verdict

Comparison Snapshot

GLM 5V Turbo: 1 WinvsDeepSeek V3.1: 5 Wins
Context Leader

GLM 5V Turbo

202,752 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 5V Turbo

GLM-5V-Turbo is Z.aiโ€™s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

View GLM 5V Turbo Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGLM 5V TurboDeepSeek V3.1
ProviderZhipu AIDeepSeek
Context Window202,752 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-012025-08-21

API Pricing Comparison

Input Price per Million Tokens

GLM 5V Turbo

$1.20

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GLM 5V Turbo

$4.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 4.8x cheaper per input token than GLM 5V Turbo.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
81.6%vs80.0%+1.6% GLM 5V Turbo
GLM 5V Turbo ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
76.4%vs78.2%+1.8% DeepSeek V3.1
GLM 5V Turbo
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
53.6%vs55.4%+1.8% DeepSeek V3.1
GLM 5V Turbo
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
39.0%vs40.8%+1.8% DeepSeek V3.1
GLM 5V Turbo
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
81.2%vs83.0%+1.8% DeepSeek V3.1
GLM 5V Turbo
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.4%vs8.6%+0.2% DeepSeek V3.1
GLM 5V Turbo
DeepSeek V3.1 ๐Ÿ†

GLM 5V Turbo Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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