- Score
- 8.6 (+1.21 points)
- Total Cost (Current Price)
- $0.061 · 26.9% cheaper
- Response Time (avg)
- 7.51s · 46.5% faster
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- 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.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 02:46 · Current run | 69/69 attempts | 7.4 | 8.7 | 10.0 | 10/23 | 4 | 46,004 | 304,186 | $0.083 | 14.05s |
| 2026-04-24 09:19 · Initial run | 54/54 attempts | 3.1 | 7.2 | N/A | 0/18 | 6 | 591 | 0 | $0.009 | 44.40s |
| Difference | — | +4.2 | +1.5 | +10 | -2 | +45413 | +304186 | +$0.074 | -30347ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 54/54 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 | 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
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 |