Hermes 3 405B Instruct vs Llama 3.1 405B
Detailed technical comparison between Hermes 3 405B Instruct (Nous Research) and Llama 3.1 405B (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Tie
Equal CapacityTie
Equal CapabilityTie
Equal SpeedLlama 3.1 405B
$0.80 / MTokHermes 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...
Llama 3.1 405B
Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.
Technical Specifications
🏆 = Superior Spec| Specification | Hermes 3 405B Instruct | Llama 3.1 405B |
|---|---|---|
| Provider | Nous Research | Meta |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | 90/100 |
| Time to First Token (TTFT) | N/A | 550 ms |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-16 | 2024-07-23 |
API Pricing Comparison
Input Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Llama 3.1 405B
$0.80
Output Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Llama 3.1 405B
$0.80
💡 Cost Ratio: Llama 3.1 405B is 1.3x cheaper per input token than Hermes 3 405B Instruct.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Hermes 3 405B Instruct Quirks & Gotchas
No developer gotchas reported.
Llama 3.1 405B Quirks & Gotchas
- ▸Massive model — requires 8× A100 80GB for FP16 inference
- ▸Available via Together AI, Fireworks, and Bedrock as managed API
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