Anthropic Releases Claude Sonnet 5.5: 70.6% on Terminal-Bench 4.0 at the Same $2/$10 Price

Anthropic released Claude Sonnet 5.5, a closed-weights model available on the Claude Platform, AWS, Google Cloud, and Microsoft Azure at unchanged list pricing of $2 per million input tokens and $10 per million output tokens. Anthropic reports the model scores 70.6% on Terminal-Bench 4.0, up from 10.3% for Sonnet 5 and above Opus 5.5's 66.4% at Xhigh, with 30%+ faster output generation and up to 30% lower cost per task. The model carries a 1M-token context window, 128K max output, a June 2026 reliable knowledge cutoff, and adaptive thinking on by default across five effort levels.

Anthropic just released Claude Sonnet 5.5 https://www.anthropic.com/claude-sonnet-5-5 . It is the second model in the Claude 5.5 family, following Claude Opus 5.5 https://platform.claude.com/docs/en/models/opus-5-5/overview . Anthropic positions it as a faster, lower-cost complement to Opus 5.5. It targets well-scoped everyday tasks, bug fixing, and polished documents, slides, and spreadsheets. Is it deployable? Yes, It is live on the Claude Platform as claude-sonnet-5-5 , plus AWS, Google Cloud, and Microsoft Azure. It is a closed-weights model, so self-hosting is not an option. What Changed Versus Sonnet 5 Anthropic reports 4 main upgrades over Sonnet 5 https://platform.claude.com/docs/en/models/overview : - Speed: output generation is 30%+ faster, making it the fastest Sonnet to date. - Cost per task: up to 30% lower, because it needs fewer tokens and tool calls. - Writing: clearer prose, with early testers calling it a better collaboration partner. - Vision and long-horizon work: it is the first Sonnet to beat Pokémon Red using only screenshots. Specs from the models overview https://platform.claude.com/docs/en/models/overview : 1M-token context, 128K max output, and a June 2026 reliable knowledge cutoff. Adaptive thinking is on by default. Effort runs across 5 levels: low, medium, high, xhigh, and max. Benchmarks All scores below are vendor-reported in the launch post https://www.anthropic.com/claude-sonnet-5-5 . Methodology lives in the Sonnet 5.5 System Card https://www.anthropic.com/claude-sonnet-5-5-system-card . - Terminal-Bench 4.0: 70.6%, versus 10.3% for Sonnet 5 and 66.4% for Opus 5.5 at Xhigh. - CursorBench 4.0: 55.5%, about 2 points below Opus 5.5 57.8% . - FrontierCode 1.1: 52.1% at Xhigh and 46.2% at Max. GPT-6 Sol scored 49.3%. - GDPval-AA v2.1: 1844, versus 1846 for Opus 5.5 and 1449 for Sonnet 5. - OSWorld 2.1: 80.1% on computer use, close to Opus 5.5 81.8% . - Humanity’s Last Exam: 64.5% with tools, up from 54.9%. The Max result is lower than Xhigh for a reason. At Max, the model more often ran multi-agent code review. That sometimes caused timeouts or out-of-scope edits, which FrontierCode penalizes. Anthropic also states that Opus 5.5 remains clearly stronger on complex, open-ended work. Pricing and Efficiency List pricing is unchanged from Sonnet 5: $2 per million input tokens and $10 per million output tokens. Cache reads cost $0.20 and cache writes $2.50 per million. That is half of Opus 5.5 $4/$20 . Savings come from token efficiency, not a price cut. Customer data supports this. Balyasny Asset Management https://www.anthropic.com/claude-sonnet-5-5 measured about 121K tokens per answer versus 497K on Sonnet 5. Base44 reported 3.6 iterations per app build, where Opus 5 took 7.7. Zendesk processed tickets 20% faster. Effort defaults differ by surface. Claude Code and the Claude apps default to Medium. The Claude Platform defaults to High. How It Compares | Feature | Claude Sonnet 5.5 | GPT-6 Sol | Gemini 3.1 Pro Preview | Claude Opus 5.5 | |---|---|---|---|---| | Developer | Anthropic | OpenAI | | Anthropic | | Price per 1M tokens input/output | $2 / $10 https://www.anthropic.com/claude-sonnet-5-5 | $2 / $10 https://developers.openai.com/api/docs/models/gpt-6-sol prompts up to 272K | $2 / $12 https://ai.google.dev/gemini-api/docs/pricing prompts up to 200K | $4 / $20 https://www.anthropic.com/claude-sonnet-5-5 | | Context window | 1M tokens https://platform.claude.com/docs/en/models/overview | 1,050,000 tokens https://developers.openai.com/api/docs/models/gpt-6-sol | 1,048,576 tokens https://ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview | 1M tokens https://platform.claude.com/docs/en/models/overview | | Max output | 128K tokens https://platform.claude.com/docs/en/models/overview | 128K tokens https://developers.openai.com/api/docs/models/gpt-6-sol | 65,536 tokens https://ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview | 128K tokens https://platform.claude.com/docs/en/models/overview | | Knowledge cutoff | June 2026 https://platform.claude.com/docs/en/models/overview | April 20, 2026 https://developers.openai.com/api/docs/models/gpt-6-sol | Not listed | June 2026 https://platform.claude.com/docs/en/models/overview | | Reasoning control | Adaptive thinking, 5 effort levels | 6 effort levels none to max | Thinking supported | Adaptive thinking always on | | Inputs | Text, image | Text, image | Text, image, video, audio, PDF | Text, image | | FrontierCode 1.1 | 52.1% Xhigh https://www.anthropic.com/claude-sonnet-5-5 | 49.3% https://www.anthropic.com/claude-sonnet-5-5 | Not reported | 54.4% https://www.anthropic.com/claude-sonnet-5-5 | | GDPval-AA v2.1 | 1844 https://www.anthropic.com/claude-sonnet-5-5 | 1487 https://www.anthropic.com/claude-sonnet-5-5 | Not reported | 1846 https://www.anthropic.com/claude-sonnet-5-5 | | Chartography no tools | 61.6% https://www.anthropic.com/claude-sonnet-5-5 | 53.6% https://www.anthropic.com/claude-sonnet-5-5 | Not reported | 64.4% https://www.anthropic.com/claude-sonnet-5-5 | | Release stage | Generally available | Generally available | Preview | Generally available | | Open weights | No | No | No | No | Benchmark scores are vendor-reported by Anthropic; GDPval-AA runs by Artificial Analysis. Prices are standard API list rates, verified September 28, 2026. Interactive Explainer Claude Sonnet 5.5, explained interactively Tap through benchmarks, effort levels, task cost and the API migration checker. Meters are illustrative of the direction Anthropic describes higher effort reasons longer and checks work more . Recommendations come from the Sonnet 5.5 migration guide. Savings come from fewer tokens and tool calls, not a lower sticker price. Your real ratio depends on workload. © Marktechpost Key Takeaways - Sonnet 5.5 scores 70.6% on Terminal-Bench 4.0, up from 10.3%. - Pricing stays $2/$10, but cost per task drops up to 30%. - It lands within 2 points of Opus 5.5 on GDPval-AA. - First Sonnet with cyber safeguards and reasoning-extraction classifiers. - Deployable now via API, AWS, Google Cloud, and Azure. Check out the official announcement https://www.anthropic.com/claude-sonnet-5-5 , migration guide https://platform.claude.com/docs/en/models/sonnet-5-5/migration-guide , and system card https://www.anthropic.com/claude-sonnet-5-5-system-card . All credit goes to the researcher of this project. Also, feel free to follow us on Twitter https://x.com/intent/follow?screen name=marktechpost and don’t forget to join our 150k+ML SubReddit https://www.reddit.com/r/machinelearningnews/ and Subscribe to our Newsletter https://magic.beehiiv.com/v1/f5e63dd4-5653-4f09-83e2-321a8b1ba526?email={{email}} . Wait are you on telegram? now you can join us on telegram as well. https://t.me/machinelearningresearchnews Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us https://forms.gle/MJjjVDPS7whH8Ngs6 Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.