Atlas / Models / Tngtech / TNG: DeepSeek R1T2 Chimera

TNG: DeepSeek R1T2 Chimera✓ Catalog verified

tngtech/deepseek-r1t2-chimera

DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The tri-parent design yields strong reasoning performance while running roughly 20 % faster than the original R1 and more than 2× faster than R1-0528 under vLLM, giving a favorable cost-to-intelligence trade-off. The checkpoint supports contexts up to 60 k tokens in standard use (tested to ~130 k) and maintains consistent <think> token behaviour, making it suitable for long-context analysis, dialogue and other open-ended generation tasks.

Input price
$0.30 /1M
Output price
$1.10 /1M
Context
164K
Modalities
text
Released
Jul 8, 2025
Tool calling
✓ Yes
Atlas signal
89/100
01

Overview

DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The tri-parent design yields strong reasoning performance while running roughly 20 % faster than the original R1 and more than 2× faster than R1-0528 under vLLM, giving a favorable cost-to-intelligence trade-off. The checkpoint supports contexts up to 60 k tokens in standard use (tested to ~130 k) and maintains consistent <think> token behaviour, making it suitable for long-context analysis, dialogue and other open-ended generation tasks.

Access: available through the official Tngtech API. Context window: 164K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiertngtech/deepseek-r1t2-chimera
ProviderTngtech
Model typeText LLM
Context window164K catalog
Input modalitiestext
Output modalitiestext
ReleasedJul 8, 2025
TokenizerDeepSeek
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for tngtech/deepseek-r1t2-chimera as published in the catalog.

$0.30
Input /1M
$1.10
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3e-7$0.30 / 1MPer input token
Completion tokens$0.0000011$1.10 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.37Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

TNG: DeepSeek R1T2 Chimera
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call TNG: DeepSeek R1T2 Chimera through an OpenAI-compatible client.

from openai import OpenAI

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

response = client.chat.completions.create(
    model="tngtech/deepseek-r1t2-chimera",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does TNG: DeepSeek R1T2 Chimera cost?

$0.30 per 1M input tokens and $1.10 per 1M output tokens on the official Tngtech API.

What is the context window of TNG: DeepSeek R1T2 Chimera?

TNG: DeepSeek R1T2 Chimera supports up to 164K tokens of context.

Does TNG: DeepSeek R1T2 Chimera support tool / function calling?

Yes, TNG: DeepSeek R1T2 Chimera supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access TNG: DeepSeek R1T2 Chimera?

Use the official Tngtech API with the model id `tngtech/deepseek-r1t2-chimera`. See the Quick start section above for code examples.