- Score
- 8.6 (+1.21 points)
- Total Cost (Current Price)
- $0.061 · 26.9% cheaper
- Response Time (avg)
- 7.51s · 46.5% faster
DeepSeek
Release: 2026-04-24
Tested on: 2026-10-01 02:46
deepseek/deepseek-v4-pro::none
1.6T total (49B active)MoEOpen source
(high)
(none)
Summary
DeepSeek V4 Pro 0423 scores 7.4 on AI BENCHY and ranks #158. It has 10.0 reliability, a 49.3% pass rate, $0.083 total cost, and 14.05s average response time.
What makes DeepSeek V4 Pro 0423 unique: Its total benchmark cost is unusually low for its score range.
Recommended alternatives
We recommend choosing this model instead:
Model facts
Researched on 2026-08-12
- Parameters
- 1.6T total (49B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
The V4 family card documents the Pro configuration.
7.4
Consistency
8.7
10.0
Total Output Tokens
46,004
Total Input Tokens
304,186
Input Price
$0.209 / 1M
Output Price
$0.418 / 1M
Cache Read Price
$0.018 / 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
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.
#158 DeepSeek V4 Pro 0423
none
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 02:46 Re-test | 7.4 | 10.0 | $0.083 ↓ | Current run | |
| 2026-07-16 23:18 New test added | 6.9 | 10.0 | $0.096 | Compare | |
| 2026-06-16 15:17 Re-test | 7.2 | 9.9 | $0.034 | Compare | |
| 2026-06-16 14:39 Suite changed | 7.2 | 9.9 | $0.030 | Compare | |
| 2026-06-04 14:24 New test added | 5.7 | 8.5 | $0.025 ↓ | Compare | |
| 2026-05-22 00:38 Suite changed | 6.0 | 8.1 | $0.046 | Compare | |
| 2026-04-29 14:46 Re-test | 6.2 | 7.9 | $0.043 | Compare | |
| 2026-04-24 09:19 Initial run | 3.1 | N/A | $0.009 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price | Cache Read Price | Cache Write Price |
|---|---|---|---|---|
| 2026-06-16 14:59 | $0.435 / 1M | $0.870 / 1M | N/A | N/A |
| 2026-08-11 09:41 | $0.632 / 1M | $1.264 / 1M | N/A | N/A |
| 2026-08-14 12:51 | $1.169 / 1M | $2.337 / 1M | N/A | N/A |
| 2026-10-01 18:33 | $0.209 / 1M | $0.418 / 1M | $0.018 / 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
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Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 3.2 | 6.1 | |
| Coding | 5.6 | 10.0 | |
| Combined | 7.9 | 6.9 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 3.0 | 10.0 | |
| General Intelligence | 5.0 | 10.0 | |
| Instructions following | 6.3 | 5.8 | |
| Puzzle Solving | 10.0 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |