#30 DeepSeek V4 Pro
high- Cost
- $0.023
- Time
- 257.6s
- Tokens
- 14,870 tok
DeepSeek
Release: 2026-04-24
Tested on: 2026-06-16 14:47
deepseek/deepseek-v4-pro::high
(high)
(none)
Summary
DeepSeek V4 Pro scores 8.1 on AI BENCHY and ranks #30. It has 9.6 reliability, a 66.7% pass rate, $0.098 total cost, and 72.22s average response time.
What makes DeepSeek V4 Pro unique: It stands out most in Combined, where it ranks #1, while Anti-AI Tricks is its weakest area at #18. Its total benchmark cost is unusually low for its score range.
8.1
Consistency
7.8
9.6
$0.098
Total Output Tokens
99,520
Total Input Tokens
35,122
Input Price
$0.435 / 1M
Output Price
$0.870 / 1M
Flaky tests
6
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 |
|---|---|---|---|---|---|
| 2026-07-16 23:19 New test added | 7.7 | 10.0 | $0.200 | Compare | |
| 2026-06-16 15:31 Re-test | 7.6 | 9.3 | $0.157 | Compare | |
| 2026-06-16 14:47 Suite changed | 8.1 | 9.6 | $0.098 | Current run | |
| 2026-06-04 14:38 New test added | 6.0 | 8.9 | $0.079 ↓ | Compare | |
| 2026-05-22 00:54 Suite changed | 6.6 | 9.0 | $0.212 | Compare | |
| 2026-04-29 14:47 Re-test | 7.5 | 9.3 | $0.209 | Compare | |
| 2026-04-26 10:50 Re-test | 7.5 | 8.4 | $0.201 | Compare | |
| 2026-04-25 21:53 Initial run | 8.2 | N/A | $0.329 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|
| 2026-06-16 14:47 · Suite changed | 8.1 | 7.8 | 9.6 | 10/21 | 6 | 99,520 | 35,122 | $0.098 | 72.22s |
| 2026-04-29 14:47 · Re-test | 7.5 | 8.0 | 9.3 | 11/18 | 4 | 62,125 | 0 | $0.209 | 60.03s |
| Difference | +0.5 | -0.2 | +0.3 | -1 | +2 | +37395 | +35122 | -$0.111 | +12189ms |
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
DeepSeek V4 ProhighvsDeepSeek V4 FlashhighDeepSeek V4 ProhighvsMiniMax M3mediumDeepSeek V4 ProhighvsGPT-5.6 LunahighDeepSeek V4 ProhighvsGrok Build 0.1mediumDeepSeek V4 ProhighvsClaude Opus 4.6mediumDeepSeek V4 ProhighvsGPT-5.6 LunamediumDeepSeek V4 ProhighvsGLM 5mediumDeepSeek V4 ProhighvsNemotron 3 UltramediumFree AvailableDeepSeek V4 ProhighvsClaude Opus 4.8lowDeepSeek V4 ProhighvsKimi K2.7 Codemedium
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 5.7 | 5.9 | |
| Coding | 7.7 | 10.0 | |
| Combined | 10.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 3.6 | 7.2 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 7.8 | 6.6 | |
| Puzzle Solving | 6.9 | 4.9 | |
| Tool Calling | 9.8 | 10.0 | |
| Trivia | 3.0 | 10.0 |