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anthropic のファビコン

Anthropic: Claude Haiku 5.5 (batch)

anthropic/claude-haiku-5.5:batch

比較

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

モダリティ
入力 / 出力料金
$0.05 / $0.251M あたり
コンテキスト
1.0M
公開日
2026年10月7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ドキュメントよくある質問探索

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: Anthropic: Claude Haiku 5.5 (batch) (Artificial Analysis、Design Arena、Vals AI)
出典ベンチマークスコア
Artificial AnalysisClaude Haiku 5.5 (Low) Intelligence Index18.6
Artificial AnalysisClaude Haiku 5.5 (Low) HLE27.0%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-LCR72.0%
Artificial AnalysisClaude Haiku 5.5 (Low) GDPval-AA31.5%
Artificial AnalysisClaude Haiku 5.5 (Low) CritPt9.1%
Artificial AnalysisClaude Haiku 5.5 (Low) SciCode49.2%
Artificial AnalysisClaude Haiku 5.5 (Low) Terminal-Bench 4.012.6%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-Omniscience Accuracy30.4%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-Omniscience Non-Hallucination Rate59.5%
Artificial AnalysisClaude Haiku 5.5 (Max) Intelligence Index36.2
Artificial AnalysisClaude Haiku 5.5 (Max) HLE44.4%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-LCR82.7%
Artificial AnalysisClaude Haiku 5.5 (Max) GDPval-AA56.5%
Artificial AnalysisClaude Haiku 5.5 (Max) CritPt18.9%
Artificial AnalysisClaude Haiku 5.5 (Max) SciCode55.0%
Artificial AnalysisClaude Haiku 5.5 (Max) Terminal-Bench 4.032.8%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-Omniscience Accuracy34.7%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-Omniscience Non-Hallucination Rate65.8%
Artificial AnalysisClaude Haiku 5.5 (High) Intelligence Index29.6
Artificial AnalysisClaude Haiku 5.5 (High) HLE37.3%
Artificial AnalysisClaude Haiku 5.5 (High) AA-LCR77.3%
Artificial AnalysisClaude Haiku 5.5 (High) GDPval-AA46.2%
Artificial AnalysisClaude Haiku 5.5 (High) CritPt18.6%
Artificial AnalysisClaude Haiku 5.5 (High) SciCode48.7%
Artificial AnalysisClaude Haiku 5.5 (High) Terminal-Bench 4.021.7%
Artificial AnalysisClaude Haiku 5.5 (High) AA-Omniscience Accuracy31.8%
Artificial AnalysisClaude Haiku 5.5 (High) AA-Omniscience Non-Hallucination Rate61.1%
Artificial AnalysisClaude Haiku 5.5 (Medium) Intelligence Index24.6
Artificial AnalysisClaude Haiku 5.5 (Medium) HLE33.8%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-LCR77.3%
Artificial AnalysisClaude Haiku 5.5 (Medium) GDPval-AA39.1%
Artificial AnalysisClaude Haiku 5.5 (Medium) CritPt12.9%
Artificial AnalysisClaude Haiku 5.5 (Medium) SciCode49.0%
Artificial AnalysisClaude Haiku 5.5 (Medium) Terminal-Bench 4.015.2%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-Omniscience Accuracy31.7%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-Omniscience Non-Hallucination Rate59.6%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) Intelligence Index34.3
Artificial AnalysisClaude Haiku 5.5 (Xhigh) HLE42.7%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-LCR78.3%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) GDPval-AA51.1%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) CritPt22.6%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) SciCode51.7%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) Terminal-Bench 4.029.3%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-Omniscience Accuracy33.8%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-Omniscience Non-Hallucination Rate60.8%
Design ArenaClaude Haiku 5.5 Models Arena 3D Elo1337
Design ArenaClaude Haiku 5.5 Models Arena Asciiart Elo1210
Design ArenaClaude Haiku 5.5 Models Arena Code Categories Elo1281
Design ArenaClaude Haiku 5.5 Models Arena Data Visualization Elo1291
Design ArenaClaude Haiku 5.5 Models Arena Game Development Elo1320
Design ArenaClaude Haiku 5.5 Models Arena SVG Elo1204
Design ArenaClaude Haiku 5.5 Models Arena UI Component Elo1278
Design ArenaClaude Haiku 5.5 Models Arena Website Elo1261
Vals AIClaude Haiku 5.5 BioMysteryBench70.4%
Vals AIClaude Haiku 5.5 ClaimBench100.0%
Vals AIClaude Haiku 5.5 Code Migration v1.152.4%
Vals AIClaude Haiku 5.5 CyberBench v1.175.5%
Vals AIClaude Haiku 5.5 EMB v1.165.5%
Vals AIClaude Haiku 5.5 Finance Agent v2.165.4%
Vals AIClaude Haiku 5.5 Vals Finance Index57.4%
Vals AIClaude Haiku 5.5 HLAB-Vals-1.14.2%
Vals AIClaude Haiku 5.5 Immigration61.8%
Vals AIClaude Haiku 5.5 IOI47.3%
Vals AIClaude Haiku 5.5 Vals Legal Index70.3%
Vals AIClaude Haiku 5.5 Legal Research Bench43.8%
Vals AIClaude Haiku 5.5 MedCode51.5%
Vals AIClaude Haiku 5.5 MedScribe89.5%
Vals AIClaude Haiku 5.5 MysteryMechanism35.1%
Vals AIClaude Haiku 5.5 ProgramBench2.5%
Vals AIClaude Haiku 5.5 ProofBench v1.189.0%
Vals AIClaude Haiku 5.5 Public Benefits Bench v1.163.2%
Vals AIClaude Haiku 5.5 SAGE89.8%
Vals AIClaude Haiku 5.5 Vals Science Index38.5%
Vals AIClaude Haiku 5.5 SRE Bench5.7%
Vals AIClaude Haiku 5.5 SWE-bench Multimodal44.0%
Vals AIClaude Haiku 5.5 Tax Agent Bench31.9%
Vals AIClaude Haiku 5.5 Terminal-Bench 4.036.4%
Vals AIClaude Haiku 5.5 Terminal-Bench-Science10.0%
Vals AIClaude Haiku 5.5 Vals Index58.7%
Vals AIClaude Haiku 5.5 Vibe Code Bench 1-10020.4%
Vals AIClaude Haiku 5.5 Vibe Code Bench v1.190.4%

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。

Anthropic: Claude Haiku 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

ドキュメント

OpenRouter で Anthropic: Claude Haiku 5.5 (batch) を使った開発に役立つガイド、クックブック、ブログ記事、ツールです。

  • Claude 5.5 Migration Guideクックブック
  • Build an AI Code Reviewer with OpenRouterブログ記事
  • How to Build Your Own Always-On AI Agentブログ記事
  • Claude Opus vs Sonnet vs Haiku: Which Should You Use?ブログ記事
  • How Much Does Claude Code Cost? Real Session Costs by Modelブログ記事
  • How to Extract Tables from a PDF with an LLMブログ記事
  • Hit Your Claude Code Usage Limit? How to Keep Codingブログ記事
  • Claude 529 Overloaded: What It Means and How to Fix Itブログ記事

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
$0.05$0.25$0.005----
--
AutoExacto ベンチマーク
GPQA DiamondTAU-BenchAmazon Bedrock87.4%74.8%Google Vertex87.1%73.7%Amazon Bedrock86.8%73.9%Google Vertex86.9%73.6%Azure87.0%73.0%Anthropic87.1%72.5%Amazon Bedrock86.9%72.5%auto-routing86.8%72.4%Azure86.4%72.6%Google Vertex86.2%72.3%
+1 社のプロバイダー

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

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window. It is the first Haiku model with adjustable effort.

OpenRouter の Claude Haiku 5.5 (batch) ドキュメントには Claude 5.5 Migration Guide クックブック、ブログ記事 Build an AI Code Reviewer with OpenRouter、ブログ記事 How to Build Your Own Always-On AI Agent、ブログ記事 Claude Opus vs Sonnet vs Haiku: Which Should You Use?、ブログ記事 How Much Does Claude Code Cost? Real Session Costs by Model、ブログ記事 How to Extract Tables from a PDF with an LLM、ブログ記事 Hit Your Claude Code Usage Limit? How to Keep Coding、ブログ記事 Claude 529 Overloaded: What It Means and How to Fix It が含まれています。クイックスタートでは APIキーと最初のリクエストについて説明し、API リファレンスではすべてのパラメーターを一覧で確認できます。

Claude Haiku 5.5 (batch) の料金は $0.05/M 入力トークン と $0.25/M 出力トークン、Cache Read:$0.005/M tokens、Cache Write:$0.0625/M tokens、Cache Write (1h):$0.10/M tokens、Web Search:$10.00/1K calls には別料金が適用されます です。

Claude Haiku 5.5 (batch) のコンテキストウィンドウは 1,000,000 トークンです。最大 128,000 トークンの補完に対応しています。

はい。Claude Haiku 5.5 (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。

Claude Haiku 5.5 (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。

Claude Sonnet 5.5, Claude Opus 5.5, Claude Fable 5.1 と他 11 件 は、Anthropic のその他の テキスト モデルです。

Claude Haiku 5.5 (batch) は 2026年10月7日 にリリースされました。

その他のモデル:提供元 Anthropic

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

テキスト1M コンテキスト$0.10 / $0.50
Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

テキスト1M コンテキスト$0.05 / $0.25
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

テキスト1M コンテキスト$2 / $10
Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

テキスト1M コンテキスト$1 / $5
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

テキスト1M コンテキスト$4 / $20
Claude Opus 5.5 (batch)

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

テキスト1M コンテキスト$2 / $10
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

テキスト1M コンテキスト$10 / $50
Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

テキスト1M コンテキスト$5 / $25
Claude Opus 5

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

テキスト1M コンテキスト
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

テキスト1M コンテキスト$5 / $25
Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

テキスト1M コンテキスト$2.50 / $12.50
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

テキスト1M コンテキスト$2 / $10
Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

テキスト1M コンテキスト$1 / $5
Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

テキスト1M コンテキスト
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

テキスト1M コンテキスト$10 / $50
Claude Fable 5 (batch)

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

テキスト1M コンテキスト$5 / $25
Claude Opus 4.8

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

テキスト1M コンテキスト
Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

テキスト1M コンテキスト$5 / $25
Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

テキスト1M コンテキスト$2.50 / $12.50
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

テキスト1M コンテキスト