Mistral NemovsMixtral 8x22B
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Mistral Nemo | Mixtral 8x22B |
|---|---|---|
| Provider | ||
| Arena Rank | #27 | #16 |
| Context Window | 128K | 64K |
| Input Pricing | $0.30/1M tokens | $0.90/1M tokens |
| Output Pricing | $0.30/1M tokens | $2.70/1M tokens |
| Parameters | 12B | 176B (39B active) |
| Open Source | Yes | Yes |
| Best For | Lightweight tasks, drop-in replacement | Efficient reasoning, multilingual, coding |
| Release Date | Jul 18, 2024 | Apr 17, 2024 |
Mistral Nemo
Mistral Nemo is a compact 12B parameter model co-developed by Mistral AI and Nvidia, designed as a high-performance drop-in replacement for smaller models. Despite its size, it delivers performance significantly above its weight class on coding, reasoning, and multilingual tasks. As an open-source model, it can be self-hosted on a single GPU, making it ideal for organizations with limited compute resources or strict data privacy requirements. Its small size enables fast inference and low-cost deployment while maintaining the quality standards of the Mistral model family.
View Mistral AI profile →Mixtral 8x22B
Mixtral 8x22B is Mistral AI's large mixture-of-experts model that uses a sparse architecture to achieve strong performance while activating only a fraction of its total parameters per token. With 176 billion total parameters but only 39 billion active per forward pass, it delivers efficiency that makes it practical to deploy despite its size. It features a 64K context window and excels at multilingual tasks, coding, and mathematical reasoning.
View Mistral AI profile →Key Differences: Mistral Nemo vs Mixtral 8x22B
Mixtral 8x22B ranks higher in arena benchmarks (#16) indicating stronger overall performance.
Mistral Nemo is 6.0x cheaper on average, making it the better choice for high-volume applications.
Mistral Nemo supports a larger context window (128K), allowing it to process longer documents in a single request.
Mistral Nemo has 12B parameters vs Mixtral 8x22B's 176B (39B active), which affects inference speed and capability.
When to use Mistral Nemo
- +Budget is a concern and you need cost efficiency
- +You need to process long documents (128K context)
- +Your use case involves lightweight tasks, drop-in replacement
When to use Mixtral 8x22B
- +You need the highest quality output based on arena rankings
- +Quality matters more than cost
- +Your use case involves efficient reasoning, multilingual, coding
Cost Analysis
At current pricing, Mistral Nemo is 6.0x more affordable than Mixtral 8x22B. For a typical enterprise workload processing 100M tokens per month:
Mistral Nemo monthly cost
$30
100M tokens/mo (50/50 in/out)
Mixtral 8x22B monthly cost
$180
100M tokens/mo (50/50 in/out)
The Verdict
Mistral Nemo wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for lightweight tasks, drop-in replacement, though Mixtral 8x22B holds an edge in efficient reasoning, multilingual, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages