Deep Thinking Models

Deep Thinking Models | Generated by AI

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This information is based on query from https://search.jina.ai.

Here’s a breakdown of deep reasoning models and their API availability, designed to provide a deeper understanding and help you choose the right model for your needs:

OpenAI o-series models (o1, o3-mini, etc.): These models, available through Azure OpenAI Service ¹, are designed for complex reasoning, excelling in science, coding, and math. The o1 model, for instance, features a 200,000-token context window and can be fine-tuned with the reasoning_effort parameter to adjust processing time ².
- API Access: Accessible via Azure OpenAI Service API with the 2024-12-01-preview API version ¹.
- Pricing: Azure OpenAI pricing varies based on the model and usage. Check the Azure OpenAI Service pricing page for detailed information.
- Rate Limits: Rate limits depend on the Azure OpenAI tier and region. Refer to Azure OpenAI documentation for specifics.
- Supported Features: Function calling, JSON mode, adjustable safety settings ³.
- Code Example (Python):
```
from openai import AzureOpenAI
client = AzureOpenAI(
  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"),
  api_key=os.getenv("AZURE_OPENAI_API_KEY"),
  api_version="2024-12-01-preview"
)
response = client.chat.completions.create(
    model="o1-new", # replace with the model deployment name of your o1 deployment.
    messages=[
        {"role": "user", "content": "What steps should I think about when writing my first Python API?"},
    ],
    max_completion_tokens = 5000
)
print(response.model_dump_json(indent=2))
```
DeepSeek R1: Known for rivaling OpenAI’s o1 in reasoning benchmarks, DeepSeek offers its R1 model via API ⁴. The API provides access to the Chain of Thought (CoT) content generated by the model, allowing users to observe the model’s reasoning process ⁵. DeepSeek also provides a cost-effective alternative to OpenAI, with its complete R1 API offered at a fraction of the cost ⁶. The DeepSeek-V3 API is also available, with performance on par with leading closed-source models ⁷.
- API Access: DeepSeek API, compatible with OpenAI API format ⁸.
- Pricing: Input tokens $0.14 per 1M tokens, Output tokens $0.55 per 1M tokens ⁹.
- Rate Limits: Refer to DeepSeek API documentation for specific rate limits.
- Supported Features: Chat Completion, Chat Prefix Completion (Beta) ¹⁰.
- Code Example (Python):
```
from openai import OpenAI
client = OpenAI(api_key="<DeepSeek API Key>", base_url="https://api.deepseek.com")
messages = [{"role": "user", "content": "9.11 and 9.8, which is greater?"}]
response = client.chat.completions.create(
    model="deepseek-reasoner",
    messages=messages
)
print(response.choices[^0].message.content)
```
Grok (xAI): xAI’s Grok models, including Grok-3 and Grok-3 mini, are designed with strong reasoning capabilities. While Grok-1.5 was available to early testers, Grok 3 is coming soon via API ¹¹. Grok 3 (Think) and Grok 3 mini (Think) models were trained using reinforcement learning to refine its chain-of-thought process, enabling advanced reasoning in a data-efficient manner ¹².
- API Access: Grok 3 API is anticipated to be released soon ¹¹.
- Pricing: Pricing details are not yet publicly available. Check xAI’s website for updates.
- Rate Limits: Rate limits are not yet publicly available. Check xAI’s website for updates.
- Supported Features: Tool use, code execution, and advanced agent capabilities are planned for the Enterprise API ¹².
Gemini 1.5 Pro: As a Google model, Gemini 1.5 Pro excels at reasoning across large amounts of information and is optimized for a wide range of reasoning tasks ¹³. It’s a multimodal model and provides stronger reasoning capabilities, including the thinking process in responses ¹⁴. The Gemini API gives developers access to a 2 million context window ¹⁵.
- API Access: Available through the Gemini API ¹⁵.
- Pricing: Check the Google AI Studio pricing page for detailed information.
- Rate Limits: 1,500 requests per minute for text embedding ¹⁶. Check the Google AI Studio documentation for other rate limits.
- Supported Features: Function calling, code execution, adjustable safety settings, JSON mode ¹⁷.

Comparative Insights:

Feature	OpenAI o-series	DeepSeek R1	Grok (xAI)	Gemini 1.5 Pro
Performance	Strong in STEM	Matches/exceeds o1-mini	Strong reasoning	Strong overall
API Access	Azure OpenAI	DeepSeek API	Coming soon	Gemini API
Cost	Varies	Cost-effective	Not yet available	Check Google AI Studio
Context Window	200K tokens	64K tokens	1M tokens	2M tokens
Intended Use Cases	Complex tasks	Math, code	Broad reasoning	Data analysis

Limitations:

OpenAI o-series: May not produce markdown formatting by default ¹.
DeepSeek R1: Performance may degrade for non-English/Chinese queries ¹⁸.
Grok (xAI): API not yet released; limited information on specific capabilities.
Gemini 1.5 Pro: Experimental models are not for production use ¹⁹.

Azure OpenAI o series models are designed to tackle reasoning and problem solving tasks with increased focus and capability learn.microsoft.com ↩ ↩² ↩³
Reasoning models have reasoning tokens as part of completion tokens details in the model response learn.microsoft.com ↩
JSON mode Supported ai.google.dev ↩
Our API provides users with access to the CoT content generated by deepseek reasoner enabling them to view display and distill it searchenginejournal.com ↩
Zu viel geringeren Kosten und mit höherer Leistungsfähigkeit DeepSeek bietet seine vollständige R1 API im Vergleich zu OpenAI zu einem Bruchteil der Kosten an seo-kueche.de ↩
全系模型均经过高精度微调指令遵循强化对于复杂语言理解深度推理文本生成均有优秀的结果表现 cloud.baidu.com ↩
xAI Grok 3 API will be launched in the coming weeks t.me ↩
Today we are announcing two beta reasoning models Grok 3 Think and Grok 3 mini Think x.ai ↩
Gemini 1 5 Pro is a mid size multimodal model that is optimized for a wide range of reasoning tasks ai.google.dev ↩
Provides stronger reasoning capabilities and includes the thinking process in responses youtube.com ↩
Input token limit 2 097 152 ai.google.dev ↩ ↩²
With reasoning turned off Grok 3 gives instant high quality responses x.ai ↩ ↩²
Gemini 1 5 Pro is a mid size multimodal model that is optimized for a wide range of reasoning tasks 1 5 Pro can process large amounts of data at once ai.google.dev ↩
By default the o3 mini and o1 models will not attempt to produce output that includes markdown formatting learn.microsoft.com ↩
DeepSeek R1 is optimized for English and Chinese but its performance may degrade for queries in other languages datacamp.com ↩ ↩²
The API offers experimental models available in Preview as defined in the Terms meaning the models are notfor production use ai.google.dev ↩
API Access Custom AI Development For Developers xAI plans to release API access to Grok 3 allowing developers to integrate its medium.com ↩
We introduce DeepSeek R1 which incorporates cold start data before RL DeepSeek R1 achieves performance comparable to OpenAI o1 across math code and api-docs.deepseek.com ↩
Gemini 1 5 Pro is a mid size multimodal model that is optimized for a wide range of reasoning tasks ai.google.dev ↩

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