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#150

DeepSeek V4 Pro

DeepSeek Release: 2026-04-24 Tested on: 2026-08-14 03:00 deepseek/deepseek-v4-pro::none
1.6T total (49B active)MoEOpen source
(high) (none)

Summary

DeepSeek V4 Pro scores 6.8 on AI BENCHY and ranks #150. It has 10.0 reliability, a 47.0% pass rate, $0.220 total cost, and 11.71s average response time.

What makes DeepSeek V4 Pro unique: It stands out most in Combined, where it ranks #3, while Anti-AI Tricks is its weakest area at #17.

Model facts

Researched on 2026-08-12

Reported
Parameters
1.6T total (49B active)
Architecture
MoE
Availability
Open source
License
MIT

The V4 family card documents the Pro configuration.

Parameter source Availability source

Score

6.8

Consistency

8.6

Reliability

10.0

Total Cost (Current Price)

$0.220 ↑ +130.1%

Tested at: $0.096

Total Output Tokens

35,547

Total Input Tokens

148,078

Input Price

$1.002 / 1M

Output Price

$2.004 / 1M

Tests Correct

Wrong Tests: 13

Attempt pass rate: 47.0%

Flaky tests

4

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

11.71s

Response Time (max): 119.44s

Response Time (total): 257.67s

Wrong answer: 9 Did not follow instructions: 2 Extra formatting: 1 Invalid tool call: 1

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#150 DeepSeek V4 Pro

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
2026-08-14 03:00 Re-test 6.8 10.0 $0.220 ↑ 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
2026-06-16 14:59 $0.435 / 1M $0.870 / 1M
2026-08-11 09:41 $0.632 / 1M $1.264 / 1M
2026-08-14 12:51 $1.169 / 1M $2.337 / 1M
2026-09-04 19:19 $1.002 / 1M $2.004 / 1M

Charts

Choose the first model, then click a second model to open a side-by-side page.

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 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

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