Hermes 3 405B vs Mistral Small 3.1 24B Base
Hermes 3 405B and Mistral Small 3.1 24B Base are closely matched at 4.3 and 0.3 on the LLM Stats Score. Mistral Small 3.1 24B Base is 6.7x cheaper per token.
Nous Research · Mistral AI · Updated for 2026
Which is better?
Hermes 3 405B and Mistral Small 3.1 24B Base are closely matched on the overall LLM Stats Score at 4.3 and 0.3.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Mistral Small 3.1 24B Base is roughly 6.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Hermes 3 405B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hermes 3 405B
- you process long inputs — it offers a 131,072 token context window
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 6.7x cheaper per token
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Hermes 3 405B · 5 for Mistral Small 3.1 24B Base
Hermes 3 405B outperforms in 1 benchmarks (MMLU), while Mistral Small 3.1 24B Base is better at 1 benchmark (MMLU-Pro).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hermes 3 405B ($1.00/1M tokens) is 10.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Hermes 3 405B ($1.00/1M tokens) is 3.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Hermes 3 405B is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Hermes 3 405B has 381.0B more parameters than Mistral Small 3.1 24B Base, making it 1587.5% larger.
Context Window
Maximum input and output token capacity
Hermes 3 405B accepts 131,072 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Hermes 3 405B can generate longer responses up to 131,072 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas Hermes 3 405B does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hermes 3 405B
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Hermes 3 405B was released on 2024-10-09, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Mistral Small 3.1 24B Base is 5 months newer than Hermes 3 405B.
Oct 9, 2024
1.9 years ago
Mar 17, 2025
1.5 years ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hermes 3 405B is available from DeepInfra. Mistral Small 3.1 24B Base is available from Mistral AI.
Hermes 3 405B
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Hermes 3 405B and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hermes 3 405B vs Mistral Small 3.1 24B Base.