
Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth.

FACEIT Predictor records 0 monthly visits with — month-over-month growth and Free pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

Machine-learning win probabilities for every FACEIT match and map veto
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | chromewebstore.google.com | openai.com |
| Pricing Model | Free | Paid |
| Monthly Visits | 0 (0) | 234.68M (234,678,639) |
| MoM Traffic Delta | 0 (—) | -24.78M (-9.6%) |
|---|
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (25.4%) |
|---|
| Direct Visits / mo | 0 | 105.1M |
|---|
| User Rating | 1.6 | 4.8 |
|---|
| Supported Platforms | Browser Extension | Website |
|---|

Machine-learning win probabilities for every FACEIT match and map veto
Outputs a predicted winning probability for every map during the veto phase so you know where your lobby is strongest.
Reorders the map elements in the veto by decreasing winning probability, putting the best options first.
Automatically bans the map with the lowest predicted winning probability, removing the weakest pick from the pool.
Choose whether to predict all matches you view, only your own matches, or a manual selection.

Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
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.
Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.

Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth.


Free / Open-sourceAlibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.

Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog.

Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack.

SpecialistOptimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs.

Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions.

SpecialistFocuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models.
One OpenAI-compatible API for 500+ image, video, audio, and LLM models

SpecialistDelivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI.
Multimodal foundation models and AI-native products for text, video, image, speech, and music

Aggregates a vast library of foundational AI models through a unified endpoint, but lacks proprietary models like GPT-4.

AI football predictions with a fully public, graded track record
Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth.
Free / Open-sourceAlibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.
Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog.
Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack.
SpecialistOptimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs.
Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions.
SpecialistFocuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models.
One OpenAI-compatible API for 500+ image, video, audio, and LLM models
Multimodal foundation models and AI-native products for text, video, image, speech, and music
AI football predictions with a fully public, graded track record