MiniMax-M3.1-Flash
MiniMax-M3.1-Flash is a native multimodal mixture-of-experts model for coding, agentic workflows, computer use, and cybersecurity. It supports text, image, and video inputs with a context window of up to 1M tokens.
Params
220.5 B
Context
—
Downloads 30d
1 K
Likes
262
Download history
tracking started — chart appears after 7 days of snapshots (1 recorded)1 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 | u8 | 252.4 GB | 311.2 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.15
input / 1M
$0.60
output / 1M
$0.015
cached input / 1M
$0.75
1M in + 1M out
- Context window
- 1,048,576 tokens
- Max output
- 524,288 tokens
- Providers
- 11
- Cheapest provider
- InferenceNet · $0.10 / $0.55
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- 42.7 / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- MiniMaxM3SparseForConditionalGeneration
- Parameters
- 220.5 B
- Tensor type
- U8
- Licence
- other
- First seen on the Hub
- 2026-10-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-24
Compare with any image-text-to-text model