โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Hermes 4 405B vs Llama 3.3 70B Instruct

Detailed technical comparison between Hermes 4 405B (Nous Research) and Llama 3.3 70B Instruct (Meta). 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 WinsvsLlama 3.3 70B Instruct: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / 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†’
Metaactive

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

View Llama 3.3 70B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationHermes 4 405BLlama 3.3 70B Instruct
ProviderNous ResearchMeta
Context Window131,072 tokens131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-08-262024-12-06

API Pricing Comparison

Input Price per Million Tokens

Hermes 4 405B

$1.00

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Hermes 4 405B

$3.00

Llama 3.3 70B Instruct

$0.40

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 7.7x 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%vs87.0%+8.4% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
HumanEvalPython coding & logic synthesis
76.8%vs86.2%+9.4% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
54.0%vs67.4%+13.4% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
39.4%vs48.8%+9.4% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
81.6%vs88.0%+6.4% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.4%vs9.1%+0.6% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†

Hermes 4 405B Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons