# OpenAI Platform vs Teaming

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. Teaming records 944 monthly visits with +926.1% growth and Free Trial, Paid pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [Teaming](https://openaitools.app/tool/teaming) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://www.teaming.com |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI Review Generator, AI Coaching, AI Meeting Assistant, AI Report Generator |
| Pricing Model | Paid | Free Trial, Paid |
| Monthly Visits | 234,678,639 | 944 |
| MoM Growth Rate | -9.6% | +926.1% |
| Primary Market | United States | Brazil |
| Direct Visits | 105,101,079 | 358 |
| Review Score | 4.8 | 4.1 |
| Saved Count | 144 | 1 |
| Supported Platforms | Website | Website |

## OpenAI Platform

While ChatGPT serves end users, openai.com and the OpenAI Developer Platform (developers.openai.com) provide the foundational API, SDKs, and enterprise infrastructure powering thousands of production AI applications worldwide. In late 2026, OpenAI's API catalog is anchored by the GPT-6 and GPT-6.1 model suite—all featuring a 1.05-million-token context window and up to 128K output tokens. The lineup spans GPT-6 Astra for frontier reasoning and mission-critical research, GPT-6.1 Sol for near-Astra intelligence at one-fifth the price, GPT-6.1 Terra for fast visual reasoning and computer use, and GPT-6 Luna for ultra-high-volume, low-latency tasks, alongside specialized models like `gpt-5.3-codex` and `gpt-6-astra-law`.

The OpenAI Platform has evolved well beyond basic chat completion endpoints. Through the unified `v1/responses` API, developers can orchestrate stateful multi-step agents equipped with built-in server-side tools—including live web search, vector file search, code interpreter sandboxes, and GUI computer use—without stitching together external orchestration frameworks. Every flagship model supports configurable reasoning effort (`none`, `low`, `medium`, `high`, `xhigh`, and `max`), strict JSON schema Structured Outputs, and multimodal image/audio inputs, while `gpt-live-1` powers per-second billed speech-to-speech voice agents.

OpenAI bills API usage on a transparent consumption model scaled across usage tiers (Build, Launch, and Grow, scaling up to 40M+ tokens per minute). In 2026, aggressive price cuts on the 6.x generation dropped entry-level intelligence on GPT-6 Luna to $0.10 per million input tokens and $0.50 per million output tokens, while GPT-6.1 Sol runs at $2/$10 and flagship GPT-6 Astra sits at $10/$50. Engineering teams can cut spend by 90% on repeated context using automatic Prompt Caching, save 50% on asynchronous workloads via the Batch API, and enforce regional data residency with a 10% compliance uplift.

**Pricing & Plans:** Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

- **GPT-6 & GPT-6.1 Model Lineup with 1.05M Context:** Spanning GPT-6 Astra ($10/$50 per MTok), GPT-6.1 Sol ($2/$10), GPT-6.1 Terra ($1/$5), and GPT-6 Luna ($0.10/$0.50), all with a 1,050,000-token context window and 128K max output.
- **Configurable Reasoning Effort Controls:** Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
- **Responses API & Native Computer Use Tools:** Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
- **GPT-Live-1 Realtime Voice API:** Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.
- **90% Prompt Caching Discount & Batch API:** Cached input tokens bill at just 10% of standard input rates, while asynchronous 24-hour Batch API jobs cut both input and output token costs by 50%.

**Strengths:** 100-fold cost flexibility from GPT-6 Luna ($0.10/$0.50 per 1M tokens) up to frontier GPT-6 Astra ($10/$50 per 1M tokens); Unified 1.05M-token context window and 128K output limit across the entire flagship GPT-6 and GPT-6.1 family; 90% discount on cached input tokens and 50% Batch API discount dramatically reduce production inference bills; Industry-standard SDKs, Structured Outputs, and built-in Responses API tools minimize boilerplate agent code

**Limitations:** Long-context requests exceeding the standard window threshold trigger roughly 2x higher per-token billing rates; Flagship GPT-6 Astra ($10 input / $50 output per 1M tokens) is significantly more expensive than Claude Opus 5.5 ($4/$20) and Grok 4.7 ($2/$6); Regional data residency endpoints incur a 10% price uplift on models released after March 2026

[Profile (Markdown)](https://openaitools.app/tool/openai.md)

## Teaming

Opre, which grew out of the performance-management platform originally launched as Teaming, replaces episodic annual reviews with continuous, automated insight into how a team actually works. It attends your 1:1s and team meetings, summarizes what was discussed, detects tasks and topics, and gradually builds profiles of each person's working style so managers can lead with context instead of guesswork.

The product is built around three audiences. Managers get AI performance reviews, personalized feedback, difficult-conversation guides and suggested 1:1 topics. Direct reports get private task lists, goal tracking and visibility into their own working style. HR teams get aggregated team-health analytics, performance metrics and mentoring workflows that scale across the organization.

Opre is a commercial SaaS product from Meetingful, Inc. with a published per-employee plan of $25 per employee per month billed annually, which includes all features for every employee, and an entry point via a 14-day free trial. Custom per-manager and company-level pricing is available for larger organizations that need consolidated invoicing and analytics.

**Pricing & Plans:** Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

- **AI-generated performance reviews:** Generate complete, objective performance reviews and forecasts in a single click, based on your team's actual work and communication rather than last-minute recollection.
- **Meeting intelligence:** Opre listens to 1:1s and team meetings to produce note summaries, key points organized by topic, suggested agendas and automatically detected tasks.
- **Working styles and DiSC:** Personal work-style and leadership profiles built on the DiSC assessment, plus team strength and blind-spot analysis.
- **Team health and OKRs:** Anonymous team surveys across seven dimensions of team health, plus a team task manager and goals/OKR tracking with automated performance highlight reels.
- **Privacy and security:** Full privacy controls keep 1:1 conversations private, audio and video files are not stored, and meetings can be marked internal or external.

**Strengths:** Turns real meeting and work data into reviews, so performance feedback isn't guesswork; Covers managers, employees and HR in one platform rather than disconnected tools; Strong privacy stance — 1:1 conversations private, no stored audio or video; Free 14-day trial makes evaluation low-risk

**Limitations:** Priced per employee per month, which adds up for larger teams; Requires connecting meetings and communications before insights become useful; Annual billing required on the published per-employee plan; Some advanced analytics and HR features are gated behind custom company pricing

[Profile (Markdown)](https://openaitools.app/tool/teaming.md)

## Frequently Asked Questions

### How do OpenAI Platform and Teaming compare in monthly traffic?

OpenAI Platform has 234,678,639 monthly visits, while Teaming has 944. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenAI Platform has a month-over-month growth rate of -9.6%; Teaming has +926.1%.

### How does pricing compare?

OpenAI Platform: Paid. Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API. Teaming: Free Trial, Paid. Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 9 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI. | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/openai-vs-teaming

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