#31 DeepSeek V4 Flash
high- Cost
- $0.003
- Time
- 93.1s
- Tokens
- 7,926 tok
DeepSeek
Release: 2026-04-24
Tested on: 2026-06-04 14:24
deepseek/deepseek-v4-flash::high
284B total (13B active)MoEOpen source
(high)
(none)
Summary
DeepSeek V4 Flash 0423 scores 7.7 on AI BENCHY and ranks #31. It has 10.0 reliability, a 74.6% pass rate, $0.029 total cost, and 45.85s average response time.
What makes DeepSeek V4 Flash 0423 unique: It stands out most in Data parsing and extraction, where it ranks #1, while Puzzle Solving is its weakest area at #17. Its total benchmark cost is unusually low for its score range.
Model facts
Researched on 2026-08-12
- Parameters
- 284B total (13B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
7.7
Consistency
8.5
10.0
Total Output Tokens
133,811
Total Input Tokens
39,745
Input Price
$0.099 / 1M
Output Price
$0.197 / 1M
Flaky tests
4
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.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-08-14 03:03 Re-test | 7.6 | 10.0 | $0.066 ↑ | Compare | |
| 2026-07-16 23:17 New test added | 7.7 | 10.0 | $0.042 ↓ | Compare | |
| 2026-06-04 14:24 Re-test | 7.7 | 10.0 | $0.029 ↓ | Current run | |
| 2026-06-04 13:02 New test added | 7.7 | 10.0 | $0.028 ↓ | Compare | |
| 2026-05-22 00:39 Suite changed | 7.4 | 10.0 | $0.038 | Compare | |
| 2026-04-25 21:41 Re-test | 7.8 | N/A | $0.031 | Compare | |
| 2026-04-24 09:19 Initial run | 7.8 | N/A | $0.019 | Compare |
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-06-04 14:24 · Re-test | 63/63 attempts | 7.7 | 8.5 | 10.0 | 13/21 | 4 | 133,811 | 39,745 | $0.029 | 45.85s |
| 2026-07-16 23:17 · New test added | 66/66 attempts | 7.7 | 8.2 | 10.0 | 13/22 | 5 | 168,165 | 108,392 | $0.042 | 49.75s |
| Difference | — | +0.1 | +0.3 | 0.0 | 0 | -1 | -34354 | -68647 | -$0.014 | -3899ms |
Benchmark coverage differs: 63/63 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price |
|---|---|---|
| 2026-06-04 14:42 | $0.099 / 1M | $0.197 / 1M |
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
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Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 8.3 | 10.0 | |
| Coding | 7.8 | 10.0 | |
| Combined | 10.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 4.1 | 4.4 | |
| General Intelligence | 6.1 | 3.1 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 8.2 | 7.2 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |