Mistral Small 4
Fast Mistral production model for chat, extraction, and cost-sensitive agents
- Context
- 262K
- Released
- 7mo ago
- Parameters
- —
- Input / 1M tokens
- $0.15
- Output / 1M tokens
- $0.60
- Cached input / 1M tokens
- $0.02
Sources:models.devOpenRouter
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
- Mistral AI
- Model family
- Mistral Small
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- March 16, 2026
- Model ID
mistralai/mistral-small-2603- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Tokenizer
- Mistral
- Max output tokens
- 210K
- Knowledge cutoff
- 2025-06
- Hugging Face
- mistralai/Mistral-Small-4-119B-2603
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- mistral/mistral-small-2603
- Source family
- mistral-small
- Last updated
- 2026-03-16
- Knowledge cutoff
- 2025-06
- Model context
- 256K
- Model output limit
- 256K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
Complete source record (JSON)
{
"id": "mistral/mistral-small-2603",
"name": "Mistral Small 4",
"description": "Fast Mistral production model for chat, extraction, and cost-sensitive agents",
"family": "mistral-small",
"last_updated": "2026-03-16",
"knowledge": "2025-06",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 256000,
"output": 256000
},
"benchmarks": [
{
"name": "Artificial Analysis Coding Index",
"score": 24.3,
"source": "https://openrouter.ai/mistralai/mistral-small-2603/benchmarks",
"metric": "index",
"date": "2026-06-01"
},
{
"name": "SciCode",
"score": 38,
"source": "https://openrouter.ai/mistralai/mistral-small-2603/benchmarks",
"metric": "percent correct",
"date": "2026-06-01"
},
{
"name": "Terminal-Bench Hard",
"score": 17.4,
"source": "https://openrouter.ai/mistralai/mistral-small-2603/benchmarks",
"metric": "success rate",
"date": "2026-06-01"
}
],
"release_date": "2026-03-16",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/mistralai/Mistral-Small-4-119B-2603"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| mistral/zdr | 262K | $0.15 | $0.60 | $0.02 | — | 99.93% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral | 262K | $0.15 | $0.60 | $0.02 | — | 99.93% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/zdrBatch pricing | 262K | $0.15 | $0.60 | $0.02 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistralBatch pricing | 262K | $0.15 | $0.60 | $0.02 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/eu | 262K | $0.17 | $0.66 | $0.02 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/us | 262K | $0.17 | $0.66 | $0.02 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/euBatch pricing | 262K | $0.17 | $0.66 | $0.02 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/usBatch pricing | 262K | $0.17 | $0.66 | $0.02 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.