Experience the fastest proprietary and flagship AI models on the market, powered by next-gen chips.
Achieve high-quality performance at a fraction of the cost compared to other LLM APIs.
Ninja’s models are rigorously tested against leading AI benchmarks, demonstrating near state-of-the-art performance across diverse domains.
Ninja's Compound AI Models
Ninja's proprietary LLMs are the easy choice for developers looking for the best performance. Our compound AI models combine multiple flagship LLMs from OpenAI, Anthropic, Google, DeepSeek, and others, with cutting edge inference level optimization.
Combines premium AI models from OpenAI, Anthropic and Google to deliver precise, in-depth responses.
Built on DeepSeek R1 distilled on Llama 70B for complex problems that require advanced reasoning.
An AI research assistant designed to tackle the most complex research and deliver precise, expert-level insights. It accomplishes in minutes what would take a human hours to complete.
Ninja’s Pricing & Future Offerings
Ninja makes it possible to access the world’s best AI models at unbeatable prices. Along with offering APIs for our proprietary models, we’re expanding with external models tailored to diverse industries and specialized tasks.
Model
Input price / per million tokens
Output price / per million tokens
Turbo 1.0
$0.11
$0.42
Apex 1.0
$0.88
$7.00
Reasoning 2.0
$0.38
$1.53
Deep Research 2.0
$1.40
$5.60
Model
Input price / per million tokens
Output price / per million tokens
Llama 4 Scout
coming soon
coming soon
Llama 4 Maverick
coming soon
coming soon
Meta Llama 3.3 Instruct Turbo
coming soon
coming soon
Model
Input price / per million tokens
Output price / per million tokens
DeepSeek R1
coming soon
coming soon
DeepSeek R1 Distill Llama 70B
coming soon
coming soon
DeepSeek R1 Distill Qwen 1.5B
coming soon
coming soon
DeepSeek R1 Distill Qwen 14B
coming soon
coming soon
Model
Input price / per million tokens
Output price / per million tokens
Qwen QwQ-32B
coming soon
coming soon
Qwen 2.5 Coder 32B Instruct
coming soon
coming soon
Model
Input price / per million tokens
Output price / per million tokens
Llama 3.1 Nemotron 70B Instruct HF
coming soon
coming soon
Model
Input price / per million tokens
Output price / per million tokens
Mistral (7B) Instruct
coming soon
coming soon
Mistral (7B) Instruct v0.2
coming soon
coming soon
Mixtral-8x7B Instruct v0.1
coming soon
coming soon
Model
Input price / per million tokens
Output price / per million tokens
FLUX.1 [schnell]
coming soon
coming soon
FLUX.1 [dev]
coming soon
coming soon
Rate Limits
Ninja AI enforces rate limits on inference requests per model to ensure that developers are able to try the fastest inference.
Model
Request per minute (RPM)
Turbo 1.0
50
Apex 1.0
20
Reasoning 2.0
30
Deep Research 2.0
5
Ninja API Performance
Flagship Models: Turbo 1.0 & Apex 1.0
Apex 1.0 scored the highest on the industry-standard Arena-Hard-Auto (Chat) test. It measures how well AI can handle complex, real-world conversations, focusing on its ability to navigate scenarios that require nuanced understanding and contextual awareness.
The models also excel in other benchmarks: Math-500, AIME2024 - Reasoning, GPQA - Reasoning, LiveCodeBench - Coding, and LiveCodeBench - Coding - Hard.
Last updated: 04/15/2025
Last updated: 04/15/2025
Last updated: 04/15/2025
Last updated: 04/15/2025
Last updated: 04/15/2025
Last updated: 04/15/2025
Reasoning 2.0
Reasoning 2.0 outperformed OpenAI O1 and Sonnet 3.7 in competitive math on the AIME test. It assesses AI’s ability to handle problems requiring logic and advanced reasoning.
Reasoning 2.0 also surpassed human PhD-level accuracy on the GPQA test. It evaluates general reasoning through complex, multi-step questions requiring factual recall, inference, and problem-solving.
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Last updated: 04/15/2025
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Last updated: 04/15/2025
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Last updated: 04/15/2025
Deep Research 2.0
Deep Research achieved 91.2% accuracy on the SimpleQA test. It’s one of the best proxies for detecting the hallucination levels of a model. This highlights Deep Research’s exceptional ability to accurately identify factual information—surpassing leading models in the field.
In the GAIA test, Deep Research scored 57.64%, which indicates superior performance in navigating real-world information environments, synthesizing data from multiple sources, and producing factual, concise answers.
Deep Research also achieved a significant breakthrough in AI with a 17.47% score on the HLE test. It’s widely recognized as a rigorous benchmark for evaluating AI systems across more than 100 subjects. Deep Research performed notably higher than several other leading AI models, including o3-mini, o1, and DeepSeek-R1.
Last updated: 04/15/2025
Last updated: 04/15/2025
Provider (Pass @1)
Level 1
Level 2
Level 3
Average
OpenAI's Deep Research
74.29
69.06
47.6
67.36
Ninjas's Deep Research
69.81
56.97
46.15
57.64
Data source: OpenAI Blog post – Read more
%20Benchmark.avif)
Last updated: 04/15/2025
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You can sign up for free or subscribe to an Ultra or Business tier. Ultra and Business give you unlimited access to the playground to experiment with flagship, reasoning, and Deep Research models.
