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Hermes 4 405B vs GLM 5.2

Detailed technical comparison between Hermes 4 405B (Nous Research) and GLM 5.2 (Zhipu AI). 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

Hermes 4 405B: 0 WinsvsGLM 5.2: 6 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
Nous Researchactive

Hermes 4 405B

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...

View Hermes 4 405B Full Specs โ†’
Zhipu AIactive

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,...

View GLM 5.2 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationHermes 4 405BGLM 5.2
ProviderNous ResearchZhipu AI
Context Window131,072 tokens1,048,576 tokens๐Ÿ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-08-262026-06-16

API Pricing Comparison

Input Price per Million Tokens

Hermes 4 405B

$1.00

GLM 5.2

$0.80

Output Price per Million Tokens

Hermes 4 405B

$3.00

GLM 5.2

$2.50

๐Ÿ’ก Cost Ratio: GLM 5.2 is 1.3x cheaper per input token than Hermes 4 405B.

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
78.6%vs89.5%+10.9% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†
HumanEvalPython coding & logic synthesis
76.8%vs91.2%+14.4% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†
MATHComplex mathematical problem solving
54.0%vs80.5%+26.5% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†
GPQAGraduate-level expert reasoning
39.4%vs53.5%+14.1% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
81.6%vs89.8%+8.2% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.4%vs9.3%+0.9% GLM 5.2
Hermes 4 405B
GLM 5.2 ๐Ÿ†

Hermes 4 405B Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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