Inkling (batch)

Thinkingmachines audiochatreasoningtool_usevision Long

API ID: thinkingmachines/inkling-20260715

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Input Price
$0.50
/1M tokens
Output Price
$2.02
/1M tokens
Cached Input
$0.09
Save 83%

About Inkling (batch)

Inkling (batch) is a mid-range general-purpose model from Thinkingmachines with ultra-long context (524k), suitable for conversations, content creation, and general AI tasks.

📊
Price Ranking
#21 lowest price among 47 Audio models

Model Specifications

Context Length
524k
Max Output
—
Release Date
2026-07-17
Capabilities
audio chat reasoning tool_use vision
Input Modalities
textimageaudio
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.83
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$25.72
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$35.55
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Thinkingmachines Model Lineup

Compare all models from Thinkingmachines to find the best fit

Model Input Output Context Capabilities
Inkling (batch) Current $0.50 $2.02 524k audio chat reasoning tool_use vision
Inkling Small $0.50 $1.20 524k audio chat reasoning
Inkling $1.00 $4.05 1.0M audio chat reasoning
View All Thinkingmachines Models →

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💡 Cheaper Alternatives

Same Brand (Thinkingmachines)

Inkling Small
$0.50 $1.20 524k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with Inkling (batch) API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="thinkingmachines/inkling-20260715",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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