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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

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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 benchmarked83/100 (est.)
Time to First Token (TTFT)No public TTFT data280 ms (est.)
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%vs86.2%+7.6% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
HumanEvalPython coding & logic synthesis
76.8%vs88.0%+11.2% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
54.0%vs75.0%+21.0% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
39.4%vs52.0%+12.6% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
81.6%vs88.5%+6.9% Llama 3.3 70B Instruct
Hermes 4 405B
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.4%vs8.8%+0.4% 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

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

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