Ai21

Ai21 API Pricing

1 paid models ยท Price range: $2.00 - $2.00 /1M

About Ai21

Ai21 provides AI models through their API. Compare pricing and find the best model for your needs.

1
Total Models
$2.00
Lowest Input
256k
Max Context
2
Capabilities

Pricing Features

  • Pay-per-token billing

๐ŸŽฏ Which Ai21 Model Should You Choose?

Quick recommendations based on your use case.

๐Ÿ’ฐ

Lowest Cost

Best value for budget-conscious projects.

Jamba Large 1.7
$10.00 total
๐Ÿ’ฌ

Chat / Customer Service

High volume, short responses.

Jamba Large 1.7
$10.00 total
๐Ÿ“„

Long Documents

Process large files and contexts.

Jamba Large 1.7
256k context

๐Ÿ’ฐ Ai21 Monthly Cost Examples

Estimated monthly costs for common use cases.

Use Case Monthly Usage Jamba Large 1.7
(Budget)
Customer Service Bot
1000 conversations/day
500k input
200k output
$2.60/mo
Code Assistant
200 requests/day
1.0M input
500k output
$6.00/mo
Data Analysis
500 analyses/day
2.0M input
300k output
$6.40/mo

โš”๏ธ Ai21 vs Competitors

How does {brand} compare to other major AI providers?

Brand Model Input /1M Output /1M Total /1M Context vs {brand}
Ai21 Ai21 Jamba Large 1.7 Current $2.00 $8.00 $10.00 256k โ€”
OpenAI OpenAI Codex Mini $1.50 $6.00 $7.50 200k 25% cheaper
OpenAI OpenAI GPT-5.2 Pro $21.00 $168.00 $189.00 400k 1790% more
OpenAI OpenAI GPT-5.2 $1.75 $14.00 $15.75 400k 57% more
OpenAI OpenAI GPT-5.2 $1.75 $14.00 $15.75 400k 57% more
OpenAI OpenAI GPT-5.1-Codex-Max $1.25 $10.00 $11.25 400k 13% more
OpenAI OpenAI GPT-5.1-Codex-Max $1.25 $10.00 $11.25 400k 13% more

All Models

Model Input /1M Output /1M Context Capabilities Actions
Jamba Large 1.7 Cheapest $2.00 $8.00 256k
chattool_use
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โ“ Ai21 Pricing FAQ

What is the cheapest Ai21 model?

The cheapest Ai21 model is Jamba Large 1.7 at $10.00 per 1M tokens (input + output combined).

What is the maximum context length for Ai21 models?

Ai21 models support up to 256k context length, allowing you to process large documents and maintain long conversations.

How do I choose between Ai21 models?

For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.