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#265

DeepSeek V4 Flash 0423

DeepSeek Release: 2026-04-24 Tested on: 2026-10-01 02:46 deepseek/deepseek-v4-flash::none
284B total (13B active)MoEOpen source
(high) (none)

Summary

DeepSeek V4 Flash 0423 scores 6.3 on AI BENCHY and ranks #265. It has 10.0 reliability, a 30.4% pass rate, $0.149 total cost, and 38.64s average response time.

What makes DeepSeek V4 Flash 0423 unique: It stands out most in Agentic, where it ranks #1, while Anti-AI Tricks is its weakest area at #15.

Model facts

Researched on 2026-08-12

Reported
Parameters
284B total (13B active)
Architecture
MoE
Availability
Open source
License
MIT
Parameter source Availability source

Score

6.3

Consistency

8.6

Reliability

10.0

Total Cost (Current Price)

$0.149 ↑ +143.7%

Tested at: $0.061

Total Output Tokens

115,591

Total Input Tokens

403,455

Input Price

$0.002 / 1M

Output Price

$1.280 / 1M

Cache Read Price

$0.002 / 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.

Tests Correct

Wrong Tests: 18

Attempt pass rate: 30.4%

Flaky tests

4

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

Response Time (avg)

38.64s

Response Time (max): 247.27s

Response Time (total): 888.69s

Wrong answer: 13 Extra formatting: 2 Invalid tool call: 2 Did not follow instructions: 1

Hamster playing table tennis

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

#265 DeepSeek V4 Flash 0423

none
Cost
$0.004
Time
157.6s
Tokens
11,297 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-10-01 02:46 Re-test 6.3 10.0 $0.149 ↑ Current run
2026-07-16 23:22 New test added 5.6 10.0 $0.044 ↓ Compare
2026-06-04 14:22 Re-test 5.0 10.0 $0.008 ↓ Compare
2026-06-04 13:02 New test added 5.0 10.0 $0.008 ↓ Compare
2026-05-22 00:37 Suite changed 5.1 10.0 $0.010 Compare
2026-04-24 09:19 Initial run 5.3 N/A $0.008 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
2026-06-04 15:40 $0.099 / 1M $0.197 / 1M N/A N/A
2026-06-12 18:42 $0.098 / 1M $0.196 / 1M N/A N/A
2026-06-17 10:07 $0.090 / 1M $0.180 / 1M N/A N/A
2026-07-02 16:22 $0.090 / 1M $0.180 / 1M N/A N/A
2026-07-21 16:10 $0.094 / 1M $0.188 / 1M N/A N/A
2026-08-14 12:51 $0.140 / 1M $0.280 / 1M N/A N/A
2026-10-06 16:43 $0.002 / 1M $1.280 / 1M $0.002 / 1M N/A

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
Agentic 10.0 10.0
Anti-AI Tricks 3.0 10.0
Coding 4.2 7.4
Combined 4.6 1.8
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 4.2 9.9
Instructions following 6.5 10.0
Puzzle Solving 3.1 7.3
Tool Calling 10.0 10.0
Trivia 3.0 10.0

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