CoderPad は月間 809,073 訪問、前月比成長率 +12.4%、料金体系無料トライアル、有料、料金は要問い合わせを記録しています。Together AI は月間 1,645,930 訪問、成長率 +64.9%、料金体系フリーミアム、有料を記録しています。
CoderPad is a hiring platform that lets teams evaluate real engineering skill rather than quiz performance. It combines automated pre-screens, realistic coding assessments, live collaborative interviews, AI-assisted evaluation and anti-cheating controls, and integrates with the applicant tracking systems recruiters already use.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
| 項目 / 指標 | | |
|---|---|---|
| 公式ドメイン | coderpad.io | together.ai |
| 料金モデル | 無料トライアル、有料、料金は要問い合わせ | フリーミアム、有料 |
| 月間訪問数 | 80.91万 (809,073) | 164.59万 (1,645,930) |
| 前月比トラフィック増減 | +8.93万 (+12.4%) | +64.77万 (+64.9%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (69.5%) | 🇺🇸 アメリカ合衆国 (36.3%) |
| 月間ダイレクト訪問数 | 50.95万 | 88.22万 |
| ユーザー評価 | 4.4 | 4.7 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
CoderPad is a hiring platform that lets teams evaluate real engineering skill rather than quiz performance. It combines automated pre-screens, realistic coding assessments, live collaborative interviews, AI-assisted evaluation and anti-cheating controls, and integrates with the applicant tracking systems recruiters already use.
A multi-file IDE with whiteboard, structured scoring, private notes and code playback so interviewers can assess real problem solving rather than puzzle recall.
Automated pre-screens built from practical engineering tasks, with clear scoring that helps recruiters move qualified candidates forward faster.
AI assistants work with code context, prompts are captured, and AI reviewers rank video or code submissions against your own rubric.
Adaptive tests, activity monitoring, real-time alerts and playback reports help detect suspicious behaviour without manual review.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
特化型Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
特化型Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
特化型Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
特化型Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
単一のAPIで数百のモデルを集約しており、Together AIのホステッドラインナップよりも幅広いモデル選択肢を提供します。
特化型Combines full-suite applicant tracking with AI screening, but lacks specialized live coding environments.
特化型1,500以上の実運用向け生成メディアモデルを1つのAPIで
より堅牢なスキルインテリジェンスとテストエコシステムを提供しますが、セットアップがより複雑になる場合があります。
標準的なテキストLLMに加え、カスタム機械学習モデルやメディア生成パイプラインのデプロイに注力しています。
無料・オープンソースUnsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
無料・オープンソースUnsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
圧倒的な推論速度と強力なファインチューニングツールを提供し、オープンソースモデルのデプロイ性能で直接競合しています。
オープンウェイトモデル向けに同様の安価なサーバーレス推論を提供していますが、よりシンプルな従量課金制を採用しています。
LLMとマルチモーダルモデルを、ひとつのAPIで高速かつコスト予測可能に推論
