DeepSeek-TNG-R1T2-Chimera-long-context
TNG Technology ConsultingCapabilities
7-day heat trend
−11.5%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 46% of tracked models
- Efficiency rank: #535 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About DeepSeek-TNG-R1T2-Chimera-long-context
TNG's R1T2 release notes describe long-context testing up to 130K tokens for debugging and analysis workloads.
DeepSeek-TNG-R1T2-Chimera-long-context is a Text model from TNG Technology Consulting (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 131K-token context window, ~146 tokens/sec throughput and 96.8% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare DeepSeek-TNG-R1T2-Chimera-long-context
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Frequently asked questions
How much does DeepSeek-TNG-R1T2-Chimera-long-context cost per 1M tokens?+
DeepSeek-TNG-R1T2-Chimera-long-context is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is DeepSeek-TNG-R1T2-Chimera-long-context best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is DeepSeek-TNG-R1T2-Chimera-long-context?+
DeepSeek-TNG-R1T2-Chimera-long-context delivers about 146 tokens/sec with 96.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is DeepSeek-TNG-R1T2-Chimera-long-context cheaper than other AI models?+
Within the HotON.ai tracked set, DeepSeek-TNG-R1T2-Chimera-long-context is cheaper than 43% of models on input price and ranks #535 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.