Mistral AI
Mistral Nemo is a transformer model, with the following architecture choices: - Layers: 40 - Dim: 5,120 - Head dim: 128 - Hidden dim: 14,336 - Activation Function: SwiGLU - Number of heads: 32 - Number of kv-heads: 8 (GQA) - Vocabulary size: 217 = 128k - Rotary embeddings (theta = 1M)
Running this yourself: desktop gpu should be enough.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
32.5
Quality Score
---
Arena ELO
12B
Parameters
---
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
Sign in to join the discussion
335.7K
Downloads
1.7K
Likes
Jul 2024
Released
4/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
12B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Launches
2
General
8
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Mistral is bringing @aiDotEngineer back to Paris. After last year’s sold-out edition, our VP of Engineering Lélio Renard-Lavaud joins speakers from @bfl_ai , @cognition, @huggingface, and more. Explore the event and secure your spot: https://t.co/SyEfmXAdCF