DeepSeek-V4.1-Flash-1017
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete tasks faster and at lower cost and advancing the performance–cost Pareto frontier across multiple agent harnesses.
Params
763.2 B
Context
—
Downloads 30d
58 K
Likes
2,604
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)58 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 | i8 | 510.3 GB | 676.3 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
$0.003
cached input / 1M
$0.75
1M in + 1M out
Price tiers
- Weekdays 01:00–04:00 and 06:00–10:00 UTC: input $0.30/M, output $1.20/M (2× base)
- Context window
- 1,048,576 tokens
- Max output
- 393,216 tokens
- Providers
- 29
- Cheapest provider
- Sail Research · $0.10 / $0.15
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- 39.5 / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- DeepseekV41ForCausalLM
- Parameters
- 763.2 B
- Tensor type
- I8
- Licence
- mit
- First seen on the Hub
- 2026-10-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any image-text-to-text model