- Score
- 8.6 (-0.17 points)
- Total Cost (Current Price)
- $0.061 · 90.2% cheaper
- Response Time (avg)
- 7.51s · 77.4% faster
DeepSeek
Release: 2026-09-10
Tested on: 2026-10-01 04:38
deepseek/deepseek-v4.1-flash::high
748B total (16B active)MoEOpen source
Summary
DeepSeek V4.1 Flash scores 8.7 on AI BENCHY and ranks #52. It has 9.7 reliability, a 75.4% pass rate, $0.617 total cost, and 33.27s average response time.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.4 (+0.62 points)
- Total Cost (Current Price)
- $0.183 · 70.4% cheaper
- Response Time (avg)
- 6.24s · 81.2% faster
- Score
- 9.6 (+0.81 points)
- Total Cost (Current Price)
- $0.460 · 25.5% cheaper
- Response Time (avg)
- 7.15s · 78.5% faster
Model facts
Researched on 2026-09-10
- Parameters
- 748B total (16B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
Total is 552B backbone plus 196B Engram conditional-memory parameters. Active count is 16B during decode; prefill activates 8B per token. The exact checkpoint includes MIT-licensed weights and a runnable inference implementation.
8.7
Consistency
9.0
9.7
Total Output Tokens
464,156
Total Input Tokens
282,490
Input Price
$0.013 / 1M
Output Price
$1.320 / 1M
Cache Read Price
$0.013 / 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
3
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.
#52 DeepSeek V4.1 Flash
high- Cost
- $0.035
- Time
- 111.0s
- Tokens
- 29,201 tok
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price | Cache Read Price | Cache Write Price |
|---|---|---|---|---|
| 2026-10-06 14:54 | $0.013 / 1M | $1.320 / 1M | $0.013 / 1M | N/A |
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 FlashhighvsGPT-5.4mediumDeepSeek V4.1 FlashhighvsDeepSeek V4.1 FlashmediumDeepSeek V4.1 FlashhighvsQwen3.8 MAXlowDeepSeek V4.1 FlashhighvsMuse Spark 1.2lowDeepSeek V4.1 FlashhighvsClaude Fable 5mediumDeepSeek V4.1 FlashhighvsGPT-5.2mediumDeepSeek V4.1 FlashhighvsMuse Spark 1.1mediumDeepSeek V4.1 FlashhighvsQwen3.8 27BhighFree AvailableDeepSeek V4.1 FlashhighvsMuse Spark 1.2mediumDeepSeek V4.1 FlashhighvsMiMo-V2.6-Promedium
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 8.3 | 10.0 | |
| Coding | 10.0 | 10.0 | |
| Combined | 10.0 | 10.0 | |
| Data parsing and extraction | 6.5 | 10.0 | |
| Domain specific | 5.3 | 7.2 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 6.4 | 4.9 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |