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GLM 4.7 vs Hermes 3 405B Instruct

Detailed technical comparison between GLM 4.7 (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 4.7: 4 WinsvsHermes 3 405B Instruct: 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

GLM 4.7

$0.40 / MTok
Zhipu AIactive

GLM 4.7

GLM-4.7 is Z.aiโ€™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 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 4.7Hermes 3 405B Instruct
ProviderZhipu AINous Research
Context Window204,800 tokens๐Ÿ†131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-222024-08-16

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Hermes 3 405B Instruct

$1.00

Output Price per Million Tokens

GLM 4.7

$1.75

Hermes 3 405B Instruct

$1.00

๐Ÿ’ก Cost Ratio: GLM 4.7 is 2.5x 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
81.5%vs78.8%+2.7% GLM 4.7
GLM 4.7 ๐Ÿ†
Hermes 3 405B Instruct
HumanEvalPython coding & logic synthesis
82.0%vs77.0%+5.0% GLM 4.7
GLM 4.7 ๐Ÿ†
Hermes 3 405B Instruct
MATHComplex mathematical problem solving
51.5%vs54.2%+2.7% Hermes 3 405B Instruct
GLM 4.7
Hermes 3 405B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
38.0%vs39.6%+1.6% Hermes 3 405B Instruct
GLM 4.7
Hermes 3 405B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
83.5%vs81.8%+1.7% GLM 4.7
GLM 4.7 ๐Ÿ†
Hermes 3 405B Instruct
MT-BenchMulti-turn conversation flow quality
8.7%vs8.4%+0.2% GLM 4.7
GLM 4.7 ๐Ÿ†
Hermes 3 405B Instruct

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Hermes 3 405B Instruct Quirks & Gotchas

No developer gotchas reported.

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