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x-ai のファビコン

SpaceXAI: Grok 4.7 (batch)

x-ai/grok-4.7:batch

比較

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations.

The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.

モダリティ
入力 / 出力料金
$1.60 / $4.801M あたり
コンテキスト
500K
公開日
2026年9月21日
比較
プロバイダー料金パフォーマンス稼働率ベンチマーク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。

ベンチマーク

標準化された評価のスコアと、共通のベンチマークプロンプトに対するこのモデル自身の出力です。パーセンテージが高いほど優れており、各順位は、その情報源で評価されたモデルの中でのこのモデルの位置を示します。

ベンチマークスコアの概要: SpaceXAI: Grok 4.7 (batch) (Artificial Analysis、Design Arena、Vals AI)
出典ベンチマークスコア
Artificial AnalysisGrok 4.7 (Low) Intelligence Index30.9
Artificial AnalysisGrok 4.7 (Low) HLE39.2%
Artificial AnalysisGrok 4.7 (Low) AA-LCR80.0%
Artificial AnalysisGrok 4.7 (Low) GDPval-AA54.6%
Artificial AnalysisGrok 4.7 (Low) CritPt13.4%
Artificial AnalysisGrok 4.7 (Low) SciCode54.9%
Artificial AnalysisGrok 4.7 (Low) Terminal-Bench 4.016.2%
Artificial AnalysisGrok 4.7 (Low) AA-Omniscience Accuracy45.7%
Artificial AnalysisGrok 4.7 (Low) AA-Omniscience Non-Hallucination Rate66.2%
Artificial AnalysisGrok 4.7 (High) Intelligence Index35.0
Artificial AnalysisGrok 4.7 (High) HLE42.3%
Artificial AnalysisGrok 4.7 (High) AA-LCR77.0%
Artificial AnalysisGrok 4.7 (High) GDPval-AA60.8%
Artificial AnalysisGrok 4.7 (High) CritPt18.0%
Artificial AnalysisGrok 4.7 (High) SciCode57.8%
Artificial AnalysisGrok 4.7 (High) Terminal-Bench 4.024.7%
Artificial AnalysisGrok 4.7 (High) AA-Omniscience Accuracy41.8%
Artificial AnalysisGrok 4.7 (High) AA-Omniscience Non-Hallucination Rate79.8%
Artificial AnalysisGrok 4.7 (Xhigh) Intelligence Index34.3
Artificial AnalysisGrok 4.7 (Xhigh) HLE43.1%
Artificial AnalysisGrok 4.7 (Xhigh) AA-LCR76.7%
Artificial AnalysisGrok 4.7 (Xhigh) GDPval-AA60.9%
Artificial AnalysisGrok 4.7 (Xhigh) CritPt17.7%
Artificial AnalysisGrok 4.7 (Xhigh) SciCode57.4%
Artificial AnalysisGrok 4.7 (Xhigh) Terminal-Bench 4.025.8%
Artificial AnalysisGrok 4.7 (Xhigh) AA-Omniscience Accuracy42.7%
Artificial AnalysisGrok 4.7 (Xhigh) AA-Omniscience Non-Hallucination Rate80.0%
Design ArenaGrok 4.7 Agents Arena Blender3d Elo1163
Design ArenaGrok 4.7 Agents Arena Mobile Apps Elo1267
Design ArenaGrok 4.7 Agents Arena Pdf Elo1149
Design ArenaGrok 4.7 Models Arena 3D Elo1263
Design ArenaGrok 4.7 Models Arena Code Categories Elo1272
Design ArenaGrok 4.7 Models Arena Data Visualization Elo1242
Design ArenaGrok 4.7 Models Arena Game Development Elo1316
Design ArenaGrok 4.7 Models Arena UI Component Elo1266
Design ArenaGrok 4.7 Models Arena Website Elo1249
Vals AIGrok 4.7 BioMysteryBench69.3%
Vals AIGrok 4.7 Code Migration v1.153.2%
Vals AIGrok 4.7 CyberBench v1.169.5%
Vals AIGrok 4.7 CyberOffense54.4%
Vals AIGrok 4.7 EMB v1.171.5%
Vals AIGrok 4.7 Finance Agent v2.160.6%
Vals AIGrok 4.7 Vals Finance Index58.5%
Vals AIGrok 4.7 HLAB-Vals-1.118.3%
Vals AIGrok 4.7 Immigration68.0%
Vals AIGrok 4.7 IOI57.7%
Vals AIGrok 4.7 LegalBench84.4%
Vals AIGrok 4.7 Vals Legal Index72.6%
Vals AIGrok 4.7 Legal Research Bench47.1%
Vals AIGrok 4.7 MedCode49.6%
Vals AIGrok 4.7 MedScribe89.4%
Vals AIGrok 4.7 MysteryMechanism25.2%
Vals AIGrok 4.7 ProgramBench0.5%
Vals AIGrok 4.7 ProofBench v1.126.0%
Vals AIGrok 4.7 Public Benefits Bench v1.165.6%
Vals AIGrok 4.7 Robo-bench0.2%
Vals AIGrok 4.7 Vals RSI Index20.2%
Vals AIGrok 4.7 SAGE88.7%
Vals AIGrok 4.7 Vals Science Index34.8%
Vals AIGrok 4.7 SRE Bench3.8%
Vals AIGrok 4.7 SWE-bench Multimodal42.9%
Vals AIGrok 4.7 Tax Agent Bench34.2%
Vals AIGrok 4.7 Terminal-Bench 4.028.8%
Vals AIGrok 4.7 Terminal-Bench-Science10.0%
Vals AIGrok 4.7 Vals Index58.6%
Vals AIGrok 4.7 Vibe Code Bench v1.186.2%

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。

xAI: Grok のバージョン

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

視覚機能を備えた AI モデル:画像理解のためのマルチモーダル LLMコレクションAI モデルランキングランキング
$1.60$4.80$0.40----
--
AutoExacto ベンチマーク
GPQA DiamondTAU-BenchAmazon Bedrock91.9%75.3%

表示するのに十分な稼働率データがまだありません。

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。

このモデルを使用するアプリのデータは、まだ十分にありません。

よくある質問

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations.

Grok 4.7 (batch) の料金は $1.60/M 入力トークン と $4.80/M 出力トークン、Cache Read:$0.40/M tokens、Web Search:$5.00/1K calls には別料金が適用されます です。

Grok 4.7 (batch) のコンテキストウィンドウは 500,000 トークンです。

はい。Grok 4.7 (batch) は関数呼び出し用の tools と tool_choice を受け付けます。 response_format の JSON スキーマによる構造化出力にも対応しています。

Grok 4.7 (batch) は テキスト、画像、PDF などのファイル を入力として受け取り、テキスト を返します。

Grok 4.6, Grok 4.5, Grok Build 0.1 と他 3 件 は、SpaceXAI のその他の テキスト モデルです。

Grok 4.7 (batch) は 2026年9月21日 にリリースされました。

その他のモデル:提供元 SpaceXAI

Grok Imagine Video 1.5 Lite

Grok Imagine Video 1.5 Lite is a faster, lower-cost video generation model from SpaceXAI, distilled from Grok Imagine Video 1.5. It supports text-to-video and image-to-video, trading some quality for speed and price. 1080p output is rendered at 720p and upscaled.

動画from $0.02/second
Grok 4.7

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations.

The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.

テキスト500K コンテキスト$2 / $6
Grok 4.7 (batch)

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations.

The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.

テキスト500K コンテキスト$1.60 / $4.80
Grok 4.6

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by Grok 4.7.

テキスト500K コンテキスト$2 / $6
Grok 4.6 (batch)

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by Grok 4.7.

テキスト500K コンテキスト$1.60 / $4.80
Grok Imagine Image 2.0

Grok Imagine Image 2.0 is an image generation and editing model from xAI. It is suited for creating images from text prompts and editing images from references, with low and medium quality modes.

画像from $0.04/image
Grok STT 1.0

Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.

文字起こし$0.000028/second
Grok Imagine Video 1.5

Grok Imagine Video 1.5 is a video generation model from SpaceXAI. It creates videos from text prompts, with an optional starting image to guide the scene. It can direct subject and camera motion, pacing, atmosphere, and physical behavior while maintaining visual continuity, and can generate synchronized sound effects, ambience, and dialogue.

動画from $0.08/second
Grok 4.5

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

テキスト500K コンテキスト$2 / $6
Grok Latest

This model always redirects to the latest Grok model from xAI.

テキスト500K コンテキスト
Grok Build 0.1

Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding agents, tool use, and multi-step development tasks. The model powers SpaceXAI’s Grok Build CLI and features a 256K context window with no text output limit, making it well suited for long-horizon coding and automation workflows. Currently in early access.

テキスト256K コンテキスト$1 / $2
Grok Imagine Video

Grok Imagine Video is SpaceXAI's fast, text-, image-, and reference-conditioned video generation model. It produces short videos (1–15 seconds, 24 fps) at 480p or 720p across seven aspect ratios - 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.

The model supports three generation modes: text-to-video from a prompt alone, image-to-video that animates a still input, and reference-to-video that grounds the output in up to seven reference images for consistent characters, styles, or settings.

動画from $0.05/second
Grok Imagine Image Quality

Grok Imagine Image Quality is SpaceXAI's fast, high-fidelity image generation and editing model. It accepts text prompts and optional reference images, producing photorealistic outputs at 1K or 2K across a range of aspect ratios, including flexible adjustment of reference images.

The model emphasizes realistic detail — natural lighting and physics, accurate textures, and consistent rendering of named entities such as brands, public figures, and specific locations. It supports clean multilingual text rendering inside images, making it the top choice for posters, packaging, ads, menus, and social graphics. When given reference images, it preserves identity and structure for product placement, brand-aligned variations, and character continuity across scenes.

画像
Grok Voice TTS 1.0

Grok Voice TTS 1.0 is a text-to-speech model from SpaceXAI. It converts text into spoken audio across 20+ languages with automatic language detection, and offers five built-in voices (Eve, Ara, Rex, Sal, Leo) covering a range of tones. Inline speech tags allow control over pauses, emphasis, pitch, speed, and vocal style. Output is available in MP3, WAV, PCM, μ-law, and A-law formats at sample rates from 8 kHz to 48 kHz, with up to 15,000 characters per request.

音声$15/M characters
Grok 4.3

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. Reasoning can be configured between none/low/medium/high (default low) effort levels.

It supports a 1 million token context window with no output token limit, making it well-suited for long-document analysis, deep research, and multi-step agentic tasks. Pricing is tiered: requests exceeding 200k total tokens are billed at a higher rate.

テキスト1M コンテキスト$1.25 / $2.50
Grok 4.3 (batch)

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. Reasoning can be configured between none/low/medium/high (default low) effort levels.

It supports a 1 million token context window with no output token limit, making it well-suited for long-document analysis, deep research, and multi-step agentic tasks. Pricing is tiered: requests exceeding 200k total tokens are billed at a higher rate.

テキスト1M コンテキスト$1 / $2
Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information across complex tasks.

Reasoning effort behavior:

テキスト2M コンテキスト$1.25 / $2.50
Grok 4.20

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses.

Reasoning can be enabled/disabled using the reasoning enabled parameter in the API. Learn more in our docs

テキスト2M コンテキスト$1.25 / $2.50
Grok 4.20 Multi-Agent Beta

Grok 4.20 Multi-Agent Beta is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information across complex tasks.

Reasoning effort behavior:

テキスト2M コンテキスト
Grok 4.20 Beta

Grok 4.20 Beta is xAI's newest flagship model with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses.

Reasoning can be enabled/disabled using the reasoning enabled parameter in the API. Learn more in our docs

テキスト2M コンテキスト