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#119

DeepSeek V3.2

DeepSeek Release: 2025-12-01 Tested on: 2026-08-14 03:00 deepseek/deepseek-v3.2::medium
671B total (37B active)MoEOpen source
(medium) (none)

Summary

DeepSeek V3.2 scores 7.0 on AI BENCHY and ranks #119. It has 10.0 reliability, a 65.2% pass rate, $0.078 total cost, and 68.43s average response time.

What makes DeepSeek V3.2 unique: It stands out most in Combined, where it ranks #3, while General Intelligence is its weakest area at #17.

Model facts

Researched on 2026-08-12

Reported
Parameters
671B total (37B active)
Architecture
MoE
Availability
Open source
License
MIT

Score

7.0

Consistency

7.4

Total Cost (Current Price)

$0.078 ↑ +4.4%

Tested at: $0.074

Total Output Tokens

128,787

Total Input Tokens

101,056

Input Price

$0.269 / 1M

Output Price

$0.400 / 1M

Tests Correct

Wrong Tests: 11

Attempt pass rate: 65.2%

Flaky tests

7

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

Response Time (avg)

68.43s

Response Time (max): 376.10s

Response Time (total): 1505.53s

Hamster playing table tennis

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

#119 DeepSeek V3.2

medium
Cost
$0.001
Time
53.6s
Tokens
1,932 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 03:00 Re-test 7.0 10.0 $0.078 Current run
2026-07-16 23:13 New test added 7.0 10.0 $0.078 Compare
2026-06-04 14:41 New test added 7.0 10.0 $0.044 Compare
2026-05-22 00:46 Suite changed 7.0 9.1 $0.037 Compare
2026-05-08 15:27 Suite changed 7.2 10.0 $0.031 Compare
2026-04-20 17:48 First recorded run 8.0 N/A $0.029 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-08-14 03:00 · Current run66/66 attempts7.07.410.011/227128,787101,056$0.07868.43s
2026-06-04 14:41 · New test added63/63 attempts7.07.610.011/216106,26738,333$0.04468.71s
Difference0.0-0.20.00+1+22520+62723+$0.034-272ms

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
2026-06-04 15:40 $0.229 / 1M $0.344 / 1M
2026-07-10 11:30 $0.215 / 1M $0.322 / 1M
2026-08-14 12:51 $0.269 / 1M $0.400 / 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

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 8.2 7.9
Coding 6.0 7.2
Combined 7.3 5.8
Data parsing and extraction 10.0 10.0
Domain specific 2.9 4.4
General Intelligence 3.4 2.5
Instructions following 10.0 10.0
Puzzle Solving 7.0 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models