Mistral-Small-3.1-24B-Instruct-2503
Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks. This model is an instruction-finetuned version of: Mistral-Small-3.1-24B-Base-2503.
Params
24.0 B
Context
—
Downloads 30d
246 K
Likes
1,406
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)246 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 96.0 GB | 109.8 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/mistral-small-3-1-24b-instruct-2503
{
"hf_id": "mistralai/Mistral-Small-3.1-24B-Instruct-2503",
"params_b": 24.01,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 245597,
"vram_estimates": [
{ "quant": "bf16", "gb": 109.8 }
],
"updated_at": "2026-10-19T06:01:11Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.35
input / 1M
$0.56
output / 1M
—
cached input / 1M
$0.91
1M in + 1M out
- Context window
- 128,000 tokens
- Max output
- 102,400 tokens
- Providers
- 1
- Cheapest provider
- Cloudflare · $0.35 / $0.56
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✗ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- Mistral3ForConditionalGeneration
- Parameters
- 24.0 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-03-11
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-generation model