Tngtechtext->text

TNG: DeepSeek R1T Chimera

DeepSeek-R1T-Chimera is created by merging DeepSeek-R1 and DeepSeek-V3 (0324), combining the reasoning capabilities of R1 with the token efficiency improvements of V3. It is based on a DeepSeek-MoE Transformer architecture and is optimized for general text generation tasks. The model merges pretrained weights from both source models to balance performance across reasoning, efficiency, and instruction-following tasks. It is released under the MIT license and intended for research and commercial use.

Context Window

164K

Input Price

$0.3000/M tokens

Output Price

$1.20/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.3000/M tokens

Output$1.20/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.004200

Context Window Size

Maximum tokens the model can process in a single request

Context Window164K tokens

16% of 1M max

~123K

Words Equivalent

~82

Pages of Text

~1638

Code Functions

Best Use Cases

What this model excels at

MathReasoningAnalysisResearchAcademic

Related Categories:

Data Analysis

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