Model Comparison
Mistral NeMo Instruct vs Phi-3.5-mini-instructWhich is better in 2026?
Phi-3.5-mini-instruct has a slight edge in benchmark performance. Phi-3.5-mini-instruct is 1.5x cheaper per token.
Verdict: Mistral NeMo Instruct vs Phi-3.5-mini-instruct — which is better?
Mistral NeMo Instruct (by Mistral AI) 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.
Mistral NeMo Instruct outperforms in 2 benchmarks (HellaSwag, Winogrande), while Phi-3.5-mini-instruct is better at 3 benchmarks (MMLU, OpenBookQA, TruthfulQA). Phi-3.5-mini-instruct has a slight edge in benchmark performance.
On price, Phi-3.5-mini-instruct is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Mistral NeMo Instruct if…
- you want predictable pricing at $0.15/M input and $0.15/M output
Choose Phi-3.5-mini-instruct if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- cost matters — it's about 1.5x cheaper per token
- you want the most recent training data — it shipped Aug 2024
Performance Benchmarks
Comparative analysis across standard metrics
Mistral NeMo Instruct outperforms in 2 benchmarks (HellaSwag, Winogrande), while Phi-3.5-mini-instruct is better at 3 benchmarks (MMLU, OpenBookQA, TruthfulQA).
Phi-3.5-mini-instruct has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral NeMo Instruct ($0.15/1M tokens) is 1.5x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, Mistral NeMo Instruct ($0.15/1M tokens) is 1.5x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, Mistral NeMo Instruct is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral NeMo Instruct has 8.2B more parameters than Phi-3.5-mini-instruct, making it 215.8% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Mistral NeMo Instruct 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
Mistral NeMo Instruct was released on 2024-07-18, while Phi-3.5-mini-instruct was released on 2024-08-23.
Phi-3.5-mini-instruct is 1 month newer than Mistral NeMo Instruct.
Jul 18, 2024
2.0 years ago
Aug 23, 2024
1.9 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral NeMo Instruct is available from Google, Mistral AI. Phi-3.5-mini-instruct is available from Azure.
Mistral NeMo Instruct
Phi-3.5-mini-instruct
Outputs Comparison
Key Takeaways
Mistral NeMo Instruct
View detailsMistral AI
Phi-3.5-mini-instruct
View detailsMicrosoft
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
| Feature |
|---|
FAQ
Common questions about Mistral NeMo Instruct vs Phi-3.5-mini-instruct.