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openai のファビコン

OpenAI: Whisper Large V3 Turbo

openai/whisper-large-v3-turbo

モデルの重み
比較

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a 12% word error rate, and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. Achieves real-time speed factors up to 216x, making it well-suited for latency-sensitive and high-throughput transcription workloads.

モダリティ
価格
$0.000003/second
公開日
2026年5月1日
比較
プロバイダー料金パフォーマンス稼働率アプリアクティビティよくある質問探索

プロバイダー

同じモデルを複数の企業がホストしています。OpenRouter は、選択したルーティングモード（Balanced（価格と速度）、Nitro（最速）、Floor（最安））に基づいて、そのうちの一社にリクエストをルーティングします。

料金

プロバイダーが提示する価格と並べて、このモデルに対して顧客が実際に支払う平均価格を表示しています。キャッシュと割引により、実際の支払価格は表示価格を大幅に下回ることがよくあります。

パフォーマンス

スループットはモデルが出力する速さです（毎秒のトークン数で、数値が高いほど優れています）。レイテンシは往復にかかる合計時間です（短いほど優れています）。TTFT は最初のトークンが出力されるまでの時間、つまり何かが表示され始めるまでの時間です（短いほど優れています）。

稼働率

稼働率は、過去 3 日間に少なくとも一社のプロバイダーがリクエストに応答していた時間の割合です。可用性は、推論が正常に提供された時間の割合です。OpenRouter は継続的に監視し、プロバイダーがエラーを返すと、次に最適なプロバイダーを使用します。

アプリ

このモデルに最も多くのトラフィックを送信している公開アプリです。実際の本番ワークロードを把握するための有力な指標であり、このモデルに最も適したユースケースを知る手がかりにもなります。

アクティビティ

このモデルのトークン量とリクエストトラフィックの経時変化です。

API

このモデルを呼び出すために、そのまま使えるコードです。OpenRouter の API は OpenAI 互換のため、ほとんどの SDK はベース URL を変更するだけで動作します。モデル間で変わるのは、下記のモデルスラッグだけです。

現在、EU 域内ルーティングでは利用できません。 リージョン内ルーティングのドキュメント

さらにモデルを探す

音声認識と文字起こしに最適なモデルコレクション文字起こしモデルランキングランキング
レイテンシ
$0.0000030.85s
100.00%
$0.0000111.55s
100.00%
レイテンシ
0.85秒

P50、最適なプロバイダー

稼働率（3 日間）モデルに接続できました。リクエストはプロバイダーにルーティングされました。
100.00%
可用性（3 日間）モデルがいずれかのプロバイダーから推論結果を返しました。エラーと空のレスポンスはマイナスとして集計されます。
99.99%

過去 3 日間の可用性

過去 72 時間
可用性 99.99%
3 日前2 日前昨日現在

過去 24 時間の可用性

OpenRouter Availability
99.99%
Without Routing
99.95%

上流のプロバイダーでエラーが発生した場合、リクエストフィルターが許可していれば、別の正常なプロバイダーにルーティングして復旧できます。プロバイダーごとの稼働率データにプログラムでアクセスするには Endpoints APIを利用できます。詳しくは、 負荷分散とプロバイダールーティングのオプションをご覧ください。

1.
https://app.useatendo.com.br/ のファビコン
Atendo
新着
0トークン
2.
https://app.plaved.com/ のファビコン
Plaved
新着
0トークン
3.
https://19ed1792-8c51-4773-88f7-416193fcd42c-00-b5crk6c4agld.kirk.replit.dev/ のファビコン
Ines AI
新着
0トークン
4.
https://datainterview.com/ のファビコン
DataInterview AI Tutor
新着
0トークン
5.
https://muhiya.com/ のファビコン
Muhiya
新着
0トークン

利用可能なグラフデータはありません

よくある質問

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a 12% word error rate, and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg.

Whisper Large V3 Turbo の料金は $0.000003/second です。

Whisper Large V3 Turbo は 音声 を入力として受け取り、文字起こしされたテキスト を返します。

Whisper Large V3 Turbo は OpenRouter 上で 2 社のプロバイダー（DeepInfra、Groq）によって提供されています。リクエストは利用可能な最適のプロバイダーにルーティングされ、他のプロバイダーへの自動フェイルオーバーに対応し、プロバイダールーティングでプロバイダーを固定または除外できます。

Whisper Large V3 Turbo は 2026年5月1日 にリリースされました。

その他のモデル：提供元 OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$1 / $5
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$0.50 / $2.50
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

テキスト1.1M コンテキスト$1 / $5
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

テキスト1.1M コンテキスト$0.50 / $2.50
GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

意思決定$0.10 / $0
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$2 / $10
GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$1 / $5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

テキスト1.1M コンテキスト$2 / $10
GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

テキスト1.1M コンテキスト$1 / $5
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$0.10 / $0.50
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$0.05 / $0.25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

テキスト1.1M コンテキスト$0.10 / $0.50
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

テキスト1.1M コンテキスト$0.05 / $0.25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$2 / $10
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

テキスト1.1M コンテキスト$1 / $5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

テキスト1.1M コンテキスト$2 / $10
GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

テキスト1.1M コンテキスト$1 / $5
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This model always redirects to the latest model in the GPT Astra family.

テキスト1.1M コンテキスト
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

テキスト1.1M コンテキスト
GPT Terra Latest

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テキスト1.1M コンテキスト