#78 DeepSeek V4 Pro
none
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
DeepSeek
Release: 2026-04-24
Tested on: 2026-07-16 23:18
deepseek/deepseek-v4-pro::none
1.6T total (49B active)MoEOpen source
(high)
(none)
Summary
DeepSeek V4 Pro scores 6.9 on AI BENCHY and ranks #78. It has 10.0 reliability, a 51.5% pass rate, $0.096 total cost, and 11.55s average response time.
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.
6.9
Consistency
8.6
10.0
$0.096
Total Output Tokens
35,551
Total Input Tokens
148,069
Input Price
$0.435 / 1M
Output Price
$0.870 / 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 03:00 Re-test | 6.8 | 10.0 | $0.256 ↑ | Compare | |
| 2026-07-16 23:18 New test added | 6.9 | 10.0 | $0.096 | Current run | |
| 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) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-07-16 23:18 · New test added | 66/66 attempts | 6.9 | 8.6 | 10.0 | 10/22 | 4 | 35,551 | 148,069 | $0.096 | 11.55s |
| 2026-06-16 15:17 · Re-test | 63/63 attempts | 7.2 | 8.8 | 9.9 | 10/21 | 3 | 11,424 | 53,558 | $0.034 | 6.41s |
| Difference | — | -0.3 | -0.2 | +0.1 | 0 | +1 | +24127 | +94511 | +$0.063 | +5138ms |
Benchmark coverage differs: 66/66 attempts (Target: 3 repeats per test) versus 63/63 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 |
|---|---|---|
| 2026-06-16 14:59 | $0.435 / 1M | $0.870 / 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 | 3.2 | 6.1 | |
| Coding | 5.6 | 10.0 | |
| Combined | 7.9 | 6.9 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 5.3 | 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 |