R1T Chimera

Other chatreasoning

API ID: tngtech/tng-r1t-chimera

Input Price
$0.25
/1M tokens
Output Price
$0.85
/1M tokens

About R1T Chimera

Chimera is TNG Tech's merged model combining DeepSeek R1 with other capabilities. The model delivers enhanced performance through model merging techniques. Chimera variants include different merge configurations. For developers seeking enhanced reasoning capability, Chimera offers merged model strengths.

๐Ÿ’ฐ
Price Ranking
#747 lowest price among 950 Chat models

Model Specifications

Context Length
164k
Max Output
โ€”
Release Date
2025-11-26
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.37
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$11.40
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$15.82
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
R1T Chimera Current Free Free 164k chat reasoning
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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Output: $0.88
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DeepSeek DeepSeek V3 0324
Input: $0.19
Output: $0.87
Context: 164k
Alibaba Qwen Qwen Plus 0728 (thinking)
Input: $0.26
Output: $0.78
Context: 1.0M

๐Ÿš€ Quick Start

Get started with R1T Chimera 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="tngtech/tng-r1t-chimera",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)