AI Model Comparison

✨ I’m mapping out the latest versions, release dates, parameters, costs, types, key capabilities, and special features of models like Grok, Gemini, Claude, OpenAI, Qwen, DeepSeek, and Llama for a comparison table.

✨ I'm pulling together the latest version, release dates, parameter count, cost, type, main capabilities, and other key features of Grok.

✨ I’m gathering info on Gemini and Qwen models, focusing on release dates and parameter sizes, as well as comparing these with OpenAI and Claude models.

✨ I’m pulling together insights on Qwen models, including recent releases like Qwen 2.5 and its multi-modal capabilities, from authoritative sources.

🌐 Read alizila.com

✨ I’m noting the narrative's timeline with the Qwen-7B release in August 2023, subsequent multimodal versions, and open-source releases in January 2025.

🌐 Read more from alizila.com

✨ I’m piecing together the timeline from August 2023 with Qwen-7B, identifying the specific release date as August 3, 2023.

🌐 Read ollama.com

✨ I'm gathering info on the Qwen series, including Qwen-7B's August 2023 release and the Qwen 1.5 series. Also, I’m thinking about OpenAI's GPT models, their parameters, and historical versions' release dates and costs.

Determining if DeepSeek is linked to a Chinese company like Baidu or a known LLM project. Contextualizing it is crucial to understand its relevance.

✨ I suggested "DeepSeek AI" as a name, highlighting its intuitive and meaningful appeal.

✨ I’m piecing together info on DeepSeek, a Chinese startup, noting their models DeepSeek-R1 and DeepSeek-V3. Consulting Reuters and Wikipedia to clarify release naming.

🌐 Read reuters.com

✨ I’m comparing DeepSeek-R1 to OpenAI's model, noting that R1 is significantly cheaper, released in mid-January 2025. This suggests a notable cost difference and recent launch.

🌐 Read en.wikipedia.org

✨ I’m piecing together the potential meanings behind GPT-4o and o1. Possibly indicating an open variant or "OpenAI's older model"?

🌐 Read azure.microsoft.com

✨ I’m compiling technical details on the DeepSeek model, focusing on the latest version, DeepSeek-R1 (Jan 2025), and examining potential earlier models like V1 and V2.

🌐 Read en.wikipedia.org

✨ I’m noting the release timeline of DeepSeek models: V2 in May 2024, V2.5 in September 2024, and R1-Lite-Preview in November 2024, with the base model in December 2024.

🌐 Read more from en.wikipedia.org

✨ I’m piecing together with DeepSeek's release timeline, noting models from DeepSeek Coder to DeepSeek V3 and R1. Progress is evident across iterations.

🌐 Read nature.com

✨ I’m piecing together whether the robots in the context of nature are likely blocking discoveries or experiments, impacting humanity's progress in understanding nature.

✨ I’m examining the DeepSeek-R1 model, noting its profitable edge of being comparable to GPT-4 with significantly fewer computing resources.

✨ I'm gathering data on DeepSeek-R1's parameter count and comparing it with Llama versions, noting Llama 2 as the latest official release.

✨ Just double-checking the official announcement date for the LLaMA 1 release, which was around February 24, 2023.

✨ I'm piecing together that LLaMA (1) was likely unveiled on February 24, 2023, using rough meta blog estimates. Let's see how this aligns with the timeline.

🌐 Read ai.meta.com

✨ Piecing together the release of LLaMA 1 in February 2023.

🌐 Read agi-sphere.com

✨ OK, let me see what's behind the initial LLaMA release, tailored for researchers and private licenses.

✨ Wikipedia identifies Llama 3.3 as the latest release in December 2024, which might indicate internal developments or rumors.

🌐 Read en.wikipedia.org

✨ Looks like Llama 3.3 will have up to 405 billion parameters, though I'm checking if that's confirmed or just a rumor.

🌐 Read more from en.wikipedia.org

✨ I’m comparing Llama-3.1, 3.2, and 3.3 release dates, evaluating public vs. internal availability, and suspecting potential developer or community origins.

🌐 Read more from en.wikipedia.org

✨ Arxiv paper 2407.21783, titled "The Llama 3 Herd of Models," seems to align with the July 23 Llama 3 release from Meta, likely after the internal release.

🌐 Read more from en.wikipedia.org

✨ Charting Claude's journey, from Claude 1 in March 2023 to the 100k context window in May 2023, leading up to Claude 2 in July 2023 and incremental updates like Claude Instant 1.2 by October 2023.

✨ I'm gathering info on Claude 2's parameter count, focusing on unofficial estimates and timeline specifics.

🌐 Read originality.ai

✨ OK, let me see. The page starts with some general info about tools, but I’m digging deeper to find detailed stats, including "March 14, 2023".

🌐 Read more from originality.ai

✨ I'm thinking about Claude updates, including 2.1's 200K context window, introduced likely in late 2023 or early 2024, and the potential release of Claude Instant 1.3 or 1.4 in early 2024.

🌐 Read anthropic.com

✨ I’m looking through Claude versions from 1.0 to 2.1, with discussions on "Claude 3" being speculative. Official parameter counts are absent, but estimates range from 52B to 100B.

🌐 Read textcortex.com

✨ Cla$de 2 has a rich context, supports text, code, and math reasoning. Closed model, not open source.

🌐 Read en.wikipedia.org

✨ I’m charting the progress of Gemini models, from Nano and Pro on Samsung S24 to Gemini 2.0 Flash, featuring real-time audio/video and integrated tools.

🌐 Read more from en.wikipedia.org

✨ Mapping out launch milestones: Gemini 1.0 debuted on Dec 6, 2023. Follow-up releases span Jan 2024 to Feb 2025.

🌐 Read more from en.wikipedia.org

✨ I'm noting Nano-1 at 1.8 billion and Nano-2 at 3.25 billion, with discussions around Gemini Ultra possibly 800 billion, and Gemini possibly incorporating Mix-of-Experts (MoE) for scaling.

🌐 Read more from en.wikipedia.org

✨ Interestingly enough, the snippet lacks the 'param' attribute. This might result in a void value.

🌐 Read more from en.wikipedia.org

✨ Gemini Ultra outperformed key benchmarks, while Gemini Pro surpassed GPT-3.5. Considering mentioning Gemini parameters as possibly very high.

✨ Piecing together potential parameters for Gemini Ultra, I’m noting the need to consider various rumors or estimates, as official figures are not yet disclosed.

🌐 Read more from en.wikipedia.org

✨ First, Grok-1 launched Nov 3, 2023. Then, I’m thinking Grok-2 stable might hit mid-late 2024, with Grok-3 stable on Feb 17, 2025.

🌐 Read more from en.wikipedia.org

✨ Tracking Grok-2 and Grok-3 launch dates, subscription prices, and advancements in computing power, while considering potential open-source status.

🌐 Read more from en.wikipedia.org

✨ OK, let me see. Projected timelines are uncertain. Progression from Grok-1 to Grok-2, with Grok-1.5 likely serving as an interim update. Grok-2's open-source launch is imminent.

🌐 Read more from en.wikipedia.org

✨ I’m piecing together the release schedule for Grok versions: major updates in November 2023, May 2024, August 2024, February 2025, with minor updates around each major release.

🌐 Read more from en.wikipedia.org

✨ I’m gathering info on Grok-1.5's rollout, planned for May 15, 2024, with subsequent releases and parameter counts discussed.

🌐 Read more from en.wikipedia.org

✨ I’m thinking through the potential parameter count of Grok-1. The GitHub "xai-org/grok-1" and the model card could provide key insights.

🌐 Read x.ai

✨ Weighing models and pricing details, considering "xAI docs" and "xAI - Grok" for insights. Choices being evaluated.

🌐 Read docs.x.ai

✨ I noticed the page is either inaccessible or empty. This might suggest a failure to load or an incorrect URL.

✨ OK, let me see. Grok-1 has 314 billion parameters, likely using 8 experts. Unclear if all are active simultaneously.

🌐 Read github.com

✨ I'm examining the parameters for Grok-1, noting 314 billion total and MoE (8 experts, 2 per token). Considering the potential configurations for Grok-2 or 3.

✨ I’m examining parameter counts and features for Grok and GPT series, considering various sources and rumors for accuracy. Highlighting known figures and noting undisclosed details or plausible updates.

✨ I’m mapping out the cost of Google One AI Premium with Gemini Advanced, starting at $19.99/month, and examining API pricing for token usage.

🌐 Read ai.google.dev

✨ Gemini 2.0 Flash offers input at $0.10 per 1k tokens and output at$0.40 per 1k tokens, indicating a competitive pricing strategy for input and output.

✨ Estou analisando preços específicos do OpenAI e Claude, cobrando por tokens de entrada e saída, com variações de contexto e consultas obrigatórias.

✨ I’m digging into Claude.ai's pricing, comparing $216 up front or$20 monthly, looking at Claude Instant's rates, and examining potential costs for Claude 2 with a 100k context at $11 per million tokens.

🌐 Read anthropic.com

✨ I’m thinking about dynamic pricing on the page, which might need scrolling or interacting to see the actual price. Claude 2 version has around $1.63 per million input and$5.51 per million output.

✨ I'm working through the various pricing models for Claude, Claude Instant, Claude Pro, and Qwen. 존재하지 않는 사용자

I'm mapping out the architecture types of models like Grok, Gemini, Qwen, Claude, OpenAI (GPT), and DeepSeek. This involves comparing various elements and strengths.

I'm breaking down Gemini 2.0 Flash's pricing, which is $0.40 per million output tokens, showing it as very affordable and requiring data sharing for better pricing.

✨ I'm noting that GPT-4's parameters remain undisclosed, with a rumored figure of 1.8 trillion.

✨ I’m updating on the latest models and their capabilities, considering their multimodal features, performance benchmarks, and open-source status. Exploring coding, math, and reasoning advancements. Progressing through these developments thoughtfully.

Research completed in 9m