Large Language Models

Claude 3.5 Sonnet

Anthropic's flagship coding, reasoning, and agentic LLM featuring a 200K token context window, Artifacts UI, and Computer Use.

সাইটে যান
Claude 3.5 Sonnet
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API টোকেন খরচ ও কনটেক্সট ক্যালকুলেটর

Claude 3.5 Sonnet API মূল্য ও মডেল তুলনা ক্যালকুলেটর

Estimate per-1K-call and monthly API spend across input/output tokens, prompt caching, and context windows.

1 word ≈ 1.33 tokens
Workload presets:
≈ 1,500 words
Tokens
≈ 600 words
Tokens
3,000 calls / mo
/ day

লাইভ LLM API খরচ তুলনা

Claude 3.5 Sonnet বর্তমান মডেল Anthropic 200K ctx
Per 1K calls: $18.00 Monthly (30d): $54.00
Claude 3.5 Haiku Anthropic 200K ctx
Per 1K calls: $4.80 Monthly (30d): $14.40
GPT-4o mini OpenAI 128K ctx
Per 1K calls: $0.780 Monthly (30d): $2.34
DeepSeek V2.5 DeepSeek 128K ctx
Per 1K calls: $0.504 Monthly (30d): $1.51
Gemini 1.5 Flash 8B Google 1M ctx
Per 1K calls: $0.195 Monthly (30d): $0.585
Qwen 2.5 72B Alibaba Cloud 128K ctx
Per 1K calls: $1.02 Monthly (30d): $3.06

LLM API Pricing & Context Window Specs

Model Input / 1M Output / 1M Cached / 1M Context Window Cost / 1K Calls Monthly USD Best For
Claude 3.5 Sonnet $3.00 $15.00 $0.30 200K $18.00 $54.00 Complex Coding, Agents & Artifacts
Claude 3.5 Haiku $0.80 $4.00 $0.08 200K $4.80 $14.40 Fast Sub-Agents & Real-Time Code
GPT-4o mini $0.15 $0.60 $0.075 128K $0.780 $2.34 High-Throughput Multimodal Apps
DeepSeek V2.5 $0.14 $0.28 $0.014 128K $0.504 $1.51 Ultra-Value Coding & Math API
Gemini 1.5 Flash 8B $0.038 $0.15 $0.01 1M $0.195 $0.585 1M Long-Context & High-Volume
Qwen 2.5 72B $0.35 $0.40 $0.18 128K $1.02 $3.06 Multilingual & Open-Weight Cloud

এই টুল সম্পর্কে

Claude 3.5 Sonnet by Anthropic is widely adopted by software engineering teams for multi-file code refactoring, autonomous tool-calling agents, visual chart/UI understanding, and structured technical writing across a 200,000-token context window.

Key Capabilities & Engineering Strengths

  • Production-Grade Coding & Agentic Workflows: Excels at SWE-bench repository debugging, pull-request synthesis, interactive Artifacts generation, and GUI-level Computer Use automation.
  • 200K Context + 90% Prompt Caching Savings: Standard API pricing is $3.00 / 1M input tokens and $15.00 / 1M output tokens, with cached prompt reads dropping to $0.30 / 1M tokens and Batch API offering 50% off asynchronous jobs.
  • Interactive Cost Benchmarking: Use the live API Token Cost Calculator above to compare per-1,000-call and 30-day spend against Claude 3.5 Haiku, GPT-4o, DeepSeek V2.5, and Qwen 2.5.
টুলের নাম Claude 3.5 Sonnet
বিভাগ Large Language Models
মূল্য মডেল Freemium / API ($3 / 1M in)
বিষয় ট্যাগ LLM, Coding AI, Anthropic, API Pricing
#LLM, Coding AI, Anthropic, API Pricing

ট্রাফিক বিশ্লেষণ

এই টুলের ট্রাফিক, র‍্যাঙ্কিং ও এনগেজমেন্টের সংকেত।

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ইন্টারফেসের প্রিভিউ

Claude 3.5 Sonnet

সচরাচর জিজ্ঞাসিত প্রশ্ন

How much does the Claude 3.5 Sonnet API cost per million tokens?

Claude 3.5 Sonnet is priced at $3.00 per 1M input tokens and $15.00 per 1M output tokens across a 200K context window. With Anthropic Prompt Caching, repeated input context reads drop by 90% to $0.30 per 1M tokens, and the Message Batches API cuts both input and output rates by 50%.

What is Claude 3.5 Sonnet's maximum context window and output token limit?

Claude 3.5 Sonnet supports a 200,000-token context window (~150,000 English words or ~500 pages of code/docs) and up to 8,192 output tokens per response, making it ideal for multi-file IDE agents like Cursor, Cline, and Claude Code.

Why do developers choose Claude 3.5 Sonnet over GPT-4o for software engineering?

Claude 3.5 Sonnet consistently leads SWE-bench Verified coding evaluations, follows multi-file diff instructions with fewer lazy omissions, renders interactive Artifacts, and supports Computer Use GUI tool execution.

How can I reduce monthly Claude 3.5 Sonnet API bills in production?

Enable Prompt Caching on system prompts and repository context (up to 90% input savings), route simple classification or sub-tasks to Claude 3.5 Haiku ($0.80/$4 per 1M), and use the async Batch API for non-interactive workloads.

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