Model Comparison
Hermes 3 70B vs Phi-3.5-mini-instructWhich is better in 2026?
Hermes 3 70B has a slight edge in benchmark performance. Phi-3.5-mini-instruct is 6.1x cheaper per token.
Verdict: Hermes 3 70B vs Phi-3.5-mini-instruct — which is better?
Hermes 3 70B (by Nous Research) and Phi-3.5-mini-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Hermes 3 70B outperforms in 6 benchmarks (BoolQ, GPQA, HellaSwag, MMLU, PIQA, Winogrande), while Phi-3.5-mini-instruct is better at 5 benchmarks (ARC-C, MATH, MMLU-Pro, OpenBookQA, TruthfulQA). Hermes 3 70B has a slight edge in benchmark performance.
On price, Phi-3.5-mini-instruct is roughly 6.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Hermes 3 70B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Hermes 3 70B if…
- you want the strongest raw capability — it leads on 6 of 11 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
Choose Phi-3.5-mini-instruct if…
- cost matters — it's about 6.1x cheaper per token
- you want the most recent training data — it shipped Aug 2024
Performance Benchmarks
Comparative analysis across standard metrics
Hermes 3 70B outperforms in 6 benchmarks (BoolQ, GPQA, HellaSwag, MMLU, PIQA, Winogrande), while Phi-3.5-mini-instruct is better at 5 benchmarks (ARC-C, MATH, MMLU-Pro, OpenBookQA, TruthfulQA).
Hermes 3 70B has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Hermes 3 70B ($0.35/1M tokens) is 3.5x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, Hermes 3 70B ($1.40/1M tokens) is 14.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, Hermes 3 70B is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Hermes 3 70B has 66.2B more parameters than Phi-3.5-mini-instruct, making it 1742.1% larger.
Context Window
Maximum input and output token capacity
Hermes 3 70B accepts 131,072 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Phi-3.5-mini-instruct can generate longer responses up to 128,000 tokens, while Hermes 3 70B is limited to 16,384 tokens.
License
Usage and distribution terms
Hermes 3 70B is licensed under Apache 2.0, while Phi-3.5-mini-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Hermes 3 70B was released on 2024-08-15, while Phi-3.5-mini-instruct was released on 2024-08-23.
Phi-3.5-mini-instruct is 0 month newer than Hermes 3 70B.
Aug 15, 2024
1.9 years ago
Aug 23, 2024
1.9 years ago
1w 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 70B is available from DeepInfra. Phi-3.5-mini-instruct is available from Azure.
Hermes 3 70B
Phi-3.5-mini-instruct
Outputs Comparison
Key Takeaways
Hermes 3 70B
View detailsNous Research
Phi-3.5-mini-instruct
View detailsMicrosoft
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Hermes 3 70B and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Hermes 3 70B vs Phi-3.5-mini-instruct.