Hermes 3 405B Instruct vs Mixtral 8x22B
Detailed technical comparison between Hermes 3 405B Instruct (Nous Research) and Mixtral 8x22B (Mistral). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Hermes 3 405B Instruct
131,072 tokensTie
Equal CapabilityTie
Equal SpeedMixtral 8x22B
$0.50 / 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...
Mixtral 8x22B
Mixtral 8x22B is Mistral AI's open-weight Mixture-of-Experts model, activating only 39B of its 141B total parameters per token to deliver frontier-level performance at inference costs comparable to a much smaller dense model. Released under the Apache 2.0 license, Mixtral 8x22B is one of the most capable fully open-weight models available, with strong multilingual performance, robust coding ability, and efficient fine-tuning via LoRA. It is widely deployed across self-hosted infrastructure, including Ollama, vLLM, and Hugging Face TGI.
Technical Specifications
🏆 = Superior Spec| Specification | Hermes 3 405B Instruct | Mixtral 8x22B |
|---|---|---|
| Provider | Nous Research | Mistral |
| Context Window | 131,072 tokens🏆 | 65,536 tokens |
| Agent Suitability | N/A | 87/100 |
| Time to First Token (TTFT) | N/A | 320 ms |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-16 | 2024-12-11 |
API Pricing Comparison
Input Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Mixtral 8x22B
$0.50
Output Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Mixtral 8x22B
$1.00
💡 Cost Ratio: Mixtral 8x22B is 2.0x 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.
Mixtral 8x22B Quirks & Gotchas
- ▸MoE architecture — efficient inference for its capability tier
- ▸Requires ~90GB VRAM at FP16 — 4-bit quantization recommended for single-GPU deployment
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