Claude Sonnet 4 5 Pricing Context Window Benchmarks And More

Bonisiwe Shabane

-Jan 23, 2026, 8:50 PM

claude sonnet 4 5 pricing context window benchmarks and more

Claude Sonnet 4.5 is the best coding model in the world. It's the strongest model for building complex agents. It’s the best model at using computers. And it shows substantial gains in reasoning and math. Highest intelligence across most tasks with exceptional agent and coding capabilities. Claude Sonnet 4.5 was released on September 29, 2025.

API access is available through Anthropic. Scores sourced from the model's scorecard, paper, or official blog posts Pricing, performance, and capabilities for Claude Sonnet 4.5 across different providers: API access for Claude Sonnet 4.5 will be available soon through our gateway. TLDR: Claude Sonnet 4.5 scores 77.2% on SWE-bench Verified (82.0% with parallel compute), 50.0% on Terminal-Bench, and 61.4% on OSWorld. It reaches 100% on AIME with Python and 83.4% on GPQA Diamond.

Pricing is $3 per million input tokens and $15 per million output tokens; you can use it on web, iOS, Android, the Claude Developer Platform, Amazon Bedrock, and Google Cloud Vertex AI. Anthropic released Claude Sonnet 4.5 on September 29, 2025, as the latest model in the Claude 4 family. It improves coding performance, supports long-running agent workflows, and handles computer-use tasks more reliably. Let’s analyze its benchmarks, pricing, and how it compares with GPT-5 and Gemini 2.5 Pro in production use. Fewer misaligned behaviors; stronger defenses Code checkpoints, VS Code extension, Agent SDK

Hybrid reasoning model with superior intelligence for agents, and 200K context window Sonnet 4.5 is the best model in the world for agents, coding, and computer use. It’s also our most accurate and detailed model for long-running tasks, with enhanced domain knowledge in coding, finance, and cybersecurity. Sonnet 4 improves on Sonnet 3.7 across a variety of areas, especially coding. It offers frontier performance that’s practical for most AI use cases, including user-facing AI assistants and high-volume tasks. Sonnet 3.7 is the first hybrid reasoning model and our most intelligent model to date.

It’s state-of-the art for coding and delivers significant improvements in content generation, data analysis, and planning. Anyone can chat with Claude using Sonnet 4.5 on Claude.ai, available on web, iOS, and Android. You do not hire an assistant to be clever once. You hire one to deliver every day. That is the promise of Claude Sonnet 4.5, Anthropic new model built for real software work, long horizons, and the messy edges of production. If you care about getting code shipped, this release matters.

It powers a major upgrade to Claude Code and debuts the Claude Agent SDK, so you can build agents with the same scaffolding Anthropic uses internally. In this review you will get the benchmarks that matter, a clear Sonnet 4.5 vs GPT-5 verdict, and practical guidance on the Claude Agent SDK and the upgrades inside Claude Code. The headline is simple. Claude Sonnet 4.5 posts state of the art on SWE-bench Verified. That benchmark captures end-to-end software work inside real open source repos. It is not a toy coding puzzle.

It checks if a model can set up an environment, write code, run tests, and land the patch without breaking the build. Numbers are only useful when tied to reality. On OSWorld, which simulates real computer use across browsers, spreadsheets, and UI flows, the model leads again. The part that developers will feel the most is stamina. In practice runs the system stays on task for more than 30 hours. That means the agent can keep a train of thought through multiple refactors, schema edits, and test runs without losing the plot.

Imagine a sprint where the agent takes a feature ticket, stands up a branch, scaffolds the migration, writes tests first, and reports progress at checkpoints. You review diffs at each checkpoint. You approve or redirect. The loop repeats until the feature lands. Claude Sonnet 4.5 is built for that loop. It is not perfect.

No model is. Yet the iteration speed, tool use, and memory improvements change the shape of your day. These are external leaderboards. They lag product reality a bit, yet they are useful as a second opinion. Accelerate your generative AI initiatives with ideation sessions for use case prioritization, foundation model selection, and an assessment of your data landscape and organizational readiness. Accelerate investment and mitigate risk when developing generative AI solutions.

AI agents represent the next evolution of APIs, but they also bring new security challenges and attack vectors. Examine real-world adversarial threats and learn defensive strategies in this blog. Discover hard-earned lessons we've learned from over 200 enterprise GenAI deployments and what it really takes to move from POC to production at scale. Explore hard-earned lessons we've learned from 200+ enterprise GenAI deployments. Claude Sonnet 4.5 achieved 77.2% on SWE-bench Verified—the highest ever. See real developer feedback, pricing, and why it's the 'world's best coding model.'

On September 29, 2025, Anthropic released Claude Sonnet 4.5 and immediately claimed the title of "the world's best coding model." According to official benchmarks, it scored 77.2% on SWE-bench Verified—the highest score any model... But does that translate to real-world developer productivity? After analyzing hands-on testing, developer feedback, and verified performance data, here's everything you need to know. All data in this article is sourced from Anthropic's official releases, InfoQ technical analysis, developer testimonials, and verified benchmark leaderboards (November 2025). Unlike previous models that lose context or start hallucinating after a few hours, Claude Sonnet 4.5 can maintain focus on complex tasks for more than 30 hours straight without degradation. Claude 4.5 introduces three models designed for different use cases:

Claude Opus 4.5 represents our most intelligent model, combining maximum capability with practical performance. It delivers step-change improvements across reasoning, coding, and complex problem-solving tasks while maintaining the high-quality outputs expected from the Opus family. Claude Opus 4.5 is the only model that supports the effort parameter, allowing you to control how many tokens Claude uses when responding. This gives you the ability to trade off between response thoroughness and token efficiency with a single model. The effort parameter affects all tokens in the response, including text responses, tool calls, and extended thinking. You can choose between:

Claude Opus 4.5 introduces enhanced computer use capabilities with a new zoom action that enables detailed inspection of specific screen regions at full resolution. This allows Claude to examine fine-grained UI elements, small text, and detailed visual information that might be unclear in standard screenshots.

Claude Sonnet 4 5 Pricing Context Window Benchmarks And More

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