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GLM 4.5 vs Hermes 3 405B Instruct

Detailed technical comparison between GLM 4.5 (Zhipu AI) and Hermes 3 405B Instruct (Nous Research). 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 4.5: 6 WinsvsHermes 3 405B Instruct: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.5

$0.60 / MTok
Zhipu AIactive

GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

View GLM 4.5 Full Specs โ†’
Nous Researchactive

Hermes 3 405B Instruct

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...

View Hermes 3 405B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGLM 4.5Hermes 3 405B Instruct
ProviderZhipu AINous Research
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-252024-08-16

API Pricing Comparison

Input Price per Million Tokens

GLM 4.5

$0.60

Hermes 3 405B Instruct

$1.00

Output Price per Million Tokens

GLM 4.5

$2.20

Hermes 3 405B Instruct

$1.00

๐Ÿ’ก Cost Ratio: GLM 4.5 is 1.7x cheaper per input token than Hermes 3 405B Instruct.

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
79.6%vs78.8%+0.8% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct
HumanEvalPython coding & logic synthesis
77.8%vs77.0%+0.8% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct
MATHComplex mathematical problem solving
55.0%vs54.2%+0.8% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct
GPQAGraduate-level expert reasoning
40.4%vs39.6%+0.8% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct
HellaSwagCommonsense reasoning and inference
82.6%vs81.8%+0.8% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct
MT-BenchMulti-turn conversation flow quality
8.5%vs8.4%+0.1% GLM 4.5
GLM 4.5 ๐Ÿ†
Hermes 3 405B Instruct

GLM 4.5 Quirks & Gotchas

No developer gotchas reported.

Hermes 3 405B Instruct Quirks & Gotchas

No developer gotchas reported.

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