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Anthropic: Claude Sonnet 4.6 (batch)

anthropic/claude-sonnet-4.6:batch

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Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Modalities

In / Out Price

$1.50 / $7.50per 1M

Context

1.0M

Released

Feb 17, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Benchmark score summary for Anthropic: Claude Sonnet 4.6 (batch) (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) GPQA Diamond79.7%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) HLE11.2%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) IFBench42.4%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) τ²-Bench Telecom78.9%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) AA-LCR69.3%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) CritPt0.9%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) Terminal-Bench Hard42.4%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) AA-Omniscience Accuracy36.5%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, Low Effort) AA-Omniscience Non-Hallucination Rate39.2%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) Intelligence Index30.5
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) Coding Index63.0
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) Agentic Index33.1
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) GPQA Diamond87.5%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) HLE33.6%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) IFBench56.6%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) τ²-Bench Telecom75.7%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) AA-LCR80.0%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) GDPval-AA39.8%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) CritPt3.1%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) SciCode50.1%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) Terminal-Bench Hard53.0%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) AA-Omniscience Accuracy40.9%
Artificial AnalysisClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort) AA-Omniscience Non-Hallucination Rate51.6%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) GPQA Diamond79.9%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) HLE13.3%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) IFBench41.2%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) τ²-Bench Telecom79.5%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) AA-LCR68.3%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) CritPt0.9%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) Terminal-Bench Hard46.2%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) AA-Omniscience Accuracy38.6%
Artificial AnalysisClaude Sonnet 4.6 (Non-reasoning, High Effort) AA-Omniscience Non-Hallucination Rate31.5%
Design ArenaClaude Sonnet 4.6 Agents Arena Agenticgamedev Elo1177
Design ArenaClaude Sonnet 4.6 Agents Arena Androidnative Elo1211
Design ArenaClaude Sonnet 4.6 Agents Arena Full Stack Elo1223
Design ArenaClaude Sonnet 4.6 Agents Arena Godotgamedev Elo1226
Design ArenaClaude Sonnet 4.6 Agents Arena Mobile Apps Elo1240
Design ArenaClaude Sonnet 4.6 Agents Arena Webapps Elo1205
Design ArenaClaude Sonnet 4.6 Models Arena 3D Elo1263
Design ArenaClaude Sonnet 4.6 Models Arena Asciiart Elo1252
Design ArenaClaude Sonnet 4.6 Models Arena Code Categories Elo1291
Design ArenaClaude Sonnet 4.6 Models Arena Data Visualization Elo1294
Design ArenaClaude Sonnet 4.6 Models Arena Game Development Elo1283
Design ArenaClaude Sonnet 4.6 Models Arena SVG Elo1220
Design ArenaClaude Sonnet 4.6 Models Arena UI Component Elo1287
Design ArenaClaude Sonnet 4.6 Models Arena Website Elo1297

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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GPQA DiamondTAU-BenchClaude Platform on AWS55.0%74.4%Amazon Bedrock55.1%74.2%Amazon Bedrock53.8%75.5%Amazon Bedrock55.6%73.1%Google Vertex54.9%73.6%Azure53.7%74.8%auto-routing54.4%74.0%Google Vertex54.7%73.3%Google Vertex53.1%72.1%
+1 more providers

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

Not enough data for apps using this model yet.

Frequently asked questions

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Claude Sonnet 4.6 (batch) costs $1.50/M input tokens and $7.50/M output tokens, with separate rates for Cache Read at $0.15/M tokens, Cache Write at $1.875/M tokens, Cache Write (1h) at $3.00/M tokens, and Web Search at $10.00/1K calls.

Claude Sonnet 4.6 (batch) has a 1,000,000 token context window. It supports up to 128,000 completion tokens.

Yes. Claude Sonnet 4.6 (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Claude Sonnet 4.6 (batch) accepts text, images, and files such as PDFs as input and returns text.

Claude Fable 5.1, Claude Opus 5, Claude Sonnet 5 and 11 more are other text models from Anthropic.

Claude Sonnet 4.6 (batch) was released on February 17, 2026.

More models from Anthropic

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.

Text1M context$10 / $50
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.

Text1M context$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

Text1M context
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.

Text1M context$5 / $25
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.

Text1M context$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.

Text1M context$2 / $10
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.

Text1M context$1 / $5
Claude Fable Latest

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

Text1M context
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.

Text1M context$10 / $50
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.

Text1M context$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

Text1M context
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.

Text1M context$5 / $25
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.

Text1M context$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

Text1M context
Claude Haiku Latest

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

Text200K context
Claude Sonnet Latest

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

Text1M context
Claude Opus Latest

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

Text1M context
Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

For users upgrading from earlier Opus versions, see our official migration guide here

Text1M context$5 / $25
Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

For users upgrading from earlier Opus versions, see our official migration guide here

Text1M context$2.50 / $12.50
Claude Opus 4.6

Fast-mode variant of Opus 4.6 - 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

Text1M context