#296 DeepSeek V4.1 Flash 1017
none- Cost
- $0.001
- Time
- 7.1s
- Tokens
- 2,012 tok
DeepSeek
Release: 2026-10-18
Tested on: 2026-10-18 00:10
deepseek/deepseek-v4.1-flash-1017::none
~748B total (~16B active)MoEOpen sourceEstimated
Summary
DeepSeek V4.1 Flash 1017 scores 5.8 on AI BENCHY and ranks #296. It has 10.0 reliability, a 36.2% pass rate, $0.055 total cost, and 3.46s average response time.
What makes DeepSeek V4.1 Flash 1017 unique: It is notably fast compared with similar models.
Model facts
Researched on 2026-10-18
- Parameters
- ~748B total (~16B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
Best estimate from public evidence; the vendor did not disclose every value. The exact 1017 checkpoint publishes MIT weights, prompt encoding and runnable inference code. Its card describes a minor update to V4.1 Flash and links the family technical report. Size estimates use the family 552B backbone plus 196B Engram memory and 16B active decode (8B prefill), supported by the exact checkpoint MoE/Engram configuration; the 1017 card does not separately restate counts. General multimodal LLM, not a vision specialist. OpenRouter declares none, low, high and max reasoning modes. Seven current providers publish no-training endpoint policies; routing uses existing OpenRouter account guardrails as requested. Fallback release date is the onboarding request date.
5.8
Consistency
9.7
10.0
$0.055
Total Output Tokens
16,806
Total Input Tokens
293,927
Input Price
$0.150 / 1M
Output Price
$0.600 / 1M
Cache Read Price
$0.003 / 1M
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
1
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
DeepSeek V4.1 Flash 1017nonevsQwen3.8 Flash NextnoneDeepSeek V4.1 Flash 1017nonevsGPT-5.6 TerranoneDeepSeek V4.1 Flash 1017nonevsQwen3.7 FlashnoneDeepSeek V4.1 Flash 1017nonevsDeepSeek V4.1 FlashnoneDeepSeek V4.1 Flash 1017nonevsNemotron 3 UltranoneFree AvailableDeepSeek V4.1 Flash 1017nonevsLing 3.0 FlashhighDeepSeek V4.1 Flash 1017nonevsClaude Sonnet 5noneDeepSeek V4.1 Flash 1017nonevsRing 2.6 1tmediumDeepSeek V4.1 Flash 1017nonevsQwen3.6 FlashnoneDeepSeek V4.1 Flash 1017nonevsTrinity Large Thinkinghigh
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 5.0 | 10.0 | |
| Anti-AI Tricks | 3.6 | 10.0 | |
| Coding | 5.6 | 9.9 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 7.7 | 10.0 | |
| General Intelligence | 5.1 | 3.4 | |
| Instructions following | 6.5 | 10.0 | |
| Puzzle Solving | 5.4 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |