the ai gateway for security teams
Meet VOID — an AI gateway for authorized security testing, code review, and development.
get api keybuilt by engineers previously at
platform capabilities
ai for security work
Use AI models for authorized security testing, code review, and development through one gateway.
pay as you go
Add prepaid credits and use them as you go. No subscription required.
zero inference retention
Prompts and outputs are not retained after inference. Cloud sandbox data is deleted after each task; billing records are separate.
confidential computing
Inference runs in protected compute environments with encryption designed to protect customer content during processing.
01 — model catalog
23 public models
showing 05 of 23 models
02 — benchmark
23 models — lower is better
cost per intelligence
Weighted USD per task, split by token type. Lower is better.
- answer
- reasoning
- cache write
- cache hit
- input
DeepSeek V4 Flash 0731
$0.04
Cost breakdown: answer: $0.021; reasoning: $0.009; cache write: $0.006; cache hit: $0.000; input: $0.005.Laguna S 2.1
$0.06
Cost breakdown: answer: $0.028; reasoning: $0.012; cache write: $0.010; cache hit: $0.001; input: $0.008.DeepSeek V4 Flash
$0.08
Cost breakdown: answer: $0.036; reasoning: $0.016; cache write: $0.013; cache hit: $0.001; input: $0.010.DeepSeek V4.1 Flash
$0.15
Cost breakdown: answer: $0.084; reasoning: $0.036; cache write: $0.015; cache hit: $0.001; input: $0.012.MiniMax M3
$0.30
Cost breakdown: answer: $0.168; reasoning: $0.072; cache write: $0.030; cache hit: $0.002; input: $0.024.Mistral Large 3
$0.39
Cost breakdown: answer: $0.210; reasoning: $0.090; cache write: $0.050; cache hit: $0.004; input: $0.040.GLM 5.3
$0.57
Cost breakdown: answer: $0.308; reasoning: $0.132; cache write: $0.070; cache hit: $0.006; input: $0.056.GLM 5.2
$0.66
Cost breakdown: answer: $0.357; reasoning: $0.153; cache write: $0.080; cache hit: $0.006; input: $0.064.GLM 5
$0.83
Cost breakdown: answer: $0.448; reasoning: $0.192; cache write: $0.100; cache hit: $0.008; input: $0.080.Kimi K2.7 Code
$0.98
Cost breakdown: answer: $0.560; reasoning: $0.240; cache write: $0.095; cache hit: $0.008; input: $0.076.Kimi K2.6
$0.98
Cost breakdown: answer: $0.560; reasoning: $0.240; cache write: $0.095; cache hit: $0.008; input: $0.076.DeepSeek V4 Pro
$1.02
Cost breakdown: answer: $0.487; reasoning: $0.209; cache write: $0.174; cache hit: $0.014; input: $0.139.GLM 5 Turbo
$1.03
Cost breakdown: answer: $0.560; reasoning: $0.240; cache write: $0.120; cache hit: $0.010; input: $0.096.GLM 5.1
$1.14
Cost breakdown: answer: $0.616; reasoning: $0.264; cache write: $0.140; cache hit: $0.011; input: $0.112.Abliterated Model
$1.16
Cost breakdown: answer: $0.420; reasoning: $0.180; cache write: $0.300; cache hit: $0.024; input: $0.240.Qwen 3.8 Max
$1.58
Cost breakdown: answer: $0.840; reasoning: $0.360; cache write: $0.200; cache hit: $0.016; input: $0.160.Abliterated Model Large
$1.94
Cost breakdown: answer: $0.700; reasoning: $0.300; cache write: $0.500; cache hit: $0.040; input: $0.400.Abliterated Model Large v2
$1.94
Cost breakdown: answer: $0.700; reasoning: $0.300; cache write: $0.500; cache hit: $0.040; input: $0.400.Qwen 3.7 Max
$1.97
Cost breakdown: answer: $1.050; reasoning: $0.450; cache write: $0.250; cache hit: $0.020; input: $0.200.Kimi K3
$3.56
Cost breakdown: answer: $2.100; reasoning: $0.900; cache write: $0.300; cache hit: $0.024; input: $0.240.CyberGLM
$3.75
Cost breakdown: answer: $2.100; reasoning: $0.900; cache write: $0.400; cache hit: $0.032; input: $0.320.STEALTH-MODEL-01
$6.94
Cost breakdown: answer: $4.200; reasoning: $1.800; cache write: $0.500; cache hit: $0.040; input: $0.400.CyberKimi
$7.50
Cost breakdown: answer: $4.200; reasoning: $1.800; cache write: $0.800; cache hit: $0.064; input: $0.640.
AI should help teams
understand their systems,
improve their security, and
better defend themselves
with clarity and control.
get api key03 — use cases
04 workflows — security teams
security testing
Use AI to help identify weaknesses in systems you own or have written permission to test. Review findings before making changes.
scope
approved
focus
testing
output
findings
code review
Review code for potential security issues and explore fixes before deployment. Validate suggestions in your own development workflow.
scope
code
focus
review
output
changes
security reporting
Use findings to support internal security and compliance reviews. Save the reports you need; Blackbit does not keep a findings archive.
scope
internal
focus
review
output
reports
confidential workflows
Work with sensitive code and task context using confidential inference. Run agents locally or in cloud sandboxes with task-limited storage.
scope
content
focus
privacy
output
analysis