DeepSeek R1T Chimera

tngtech

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.

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Capabilities

Extended Thinking

Example Use Cases

Deepseek reasoning with efficiency

Balanced reasoning and instruction-following

Merged deepseek reasoning model

Technical Specifications

Context Window

163,840 tokens

Max Output

163,840 tokens

Cache Miss Cost

$0.30 per 1M tokens

Non-Reasoning Cost

$1.20 per 1M tokens

Cache Read Cost

$0.15 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus