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Access 100+ AI models at wholesale rates

Pay less for the same Venice.ai API access. Same-day credits expire at midnight UTC. Reserve credits coming soon.

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Today's discount 28%

Base price $10.00

Your price $7.20

Expires at 23:59 UTC

Most Popular

Claude Opus 4.7

Anthropic

Best-in-class reasoning and analysis. Ideal for complex tasks, research, and code generation.

Input

$15.00 $10.80/M tokens

Output

$75.00 $54.00/M tokens

Context 200K

Max Output 16K

GPT-5.5

OpenAI

Latest flagship model with improved reasoning and multi-modal capabilities.

Input

$12.00 $8.64/M tokens

Output

$60.00 $43.20/M tokens

Context 128K

Max Output 32K

Claude Sonnet 4.5

Anthropic

Balanced performance and cost. Great for coding, writing, and general tasks.

Input

$3.00 $2.16/M tokens

Output

$15.00 $10.80/M tokens

Context 200K

Max Output 8K

Gemini Ultra 2.0

Google

Advanced reasoning with native multi-modal support and extended context.

Input

$10.00 $7.20/M tokens

Output

$50.00 $36.00/M tokens

Context 1M

Max Output 8K

Image Generation

FLUX Pro

Black Forest Labs

Professional-grade image generation with photorealistic output and fine control.

Standard

$0.055 $0.040/image

HD (2K)

$0.110 $0.079/image

Resolution Up to 2048px

Speed ~15s

Midjourney V7

Midjourney

Artistic image generation with unique aesthetic style and composition.

Standard

$0.080 $0.058/image

Upscale

$0.120 $0.086/image

Resolution Up to 4096px

Speed ~30s

Stable Diffusion XL

Stability AI

Cost-effective image generation with good quality and fast turnaround.

Standard

$0.020 $0.014/image

$0.040 $0.029/image

Resolution 1024px

Speed ~5s

Additional Models

GPT-4.5 Turbo Text

$5.00 $3.60/M

Claude Haiku 4 Text

$0.80 $0.58/M

Whisper Large V3 Audio

$0.006 $0.004/min

ElevenLabs Turbo Audio

$0.18 $0.13/1K chars

Kling V3 Pro Video

$0.50 $0.36/sec

OpenAI SDK compatible

Python

# Works with any OpenAI SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.venice.ai/api/v1",
    api_key="your_apitokendeal_key"
)

response = client.chat.completions.create(
    model="claude-opus-47",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)

print(response.choices[0].message.content)

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