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DeepSeek V3 vs GLM 5.2

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3 and GLM 5.2.

DeepSeek

DeepSeek V3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

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Zhipu AI

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

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Technical Specifications

SpecificationDeepSeek V3GLM 5.2
ProviderDeepSeekZhipu AI
Context Window131,072 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-12-262026-06-16

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3

$0.20

GLM 5.2

$0.93

Output Price per Million Tokens

DeepSeek V3

$0.80

GLM 5.2

$3.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8850.0%vs8950.0%
DeepSeek V3
GLM 5.2
HumanEvalPython coding & logic synthesis
8900.0%vs9120.0%
DeepSeek V3
GLM 5.2
MATHComplex mathematical problem solving
7460.0%vs8050.0%
DeepSeek V3
GLM 5.2
GPQAGraduate-level expert reasoning
4900.0%vs5350.0%
DeepSeek V3
GLM 5.2
HellaSwagCommonsense reasoning and inference
8750.0%vs8980.0%
DeepSeek V3
GLM 5.2
MT-BenchMulti-turn conversation flow quality
918.0%vs930.0%
DeepSeek V3
GLM 5.2

DeepSeek V3 Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.