Mistral model for multilingual chat, reasoning, and tool-assisted workflows
- Context
- 128K
- Released
- 1y ago
- Parameters
- —
Sources:models.dev
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- NVIDIA
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- June 11, 2025
- Model ID
nvidia/mistral-nemotron- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Max output tokens
- 8K
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- nvidia/mistral-nemotron
- Source family
- nemotron
- Last updated
- 2025-06-12
- Model context
- 128K
- Model output limit
- 8K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "nvidia/mistral-nemotron",
"name": "Mistral Nemotron",
"description": "Mistral model for multilingual chat, reasoning, and tool-assisted workflows",
"family": "nemotron",
"last_updated": "2025-06-12",
"attachment": false,
"reasoning": false,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 128000,
"output": 8192
},
"release_date": "2025-06-11",
"open_weights": true
}Infrastructure
Provider availability
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Deployment graph
Can I run this?
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