Anthropic: Claude 3.7 Sonnet (thinking) vs dbmdz/bert-large-cased-finetuned-conll03-english

Anthropic: Claude 3.7 Sonnet (thinking) comes out ahead on the data we track: 5 advantages and none for dbmdz/bert-large-cased-finetuned-conll03-english.

Key numbers

SpecAnthropic: Claude 3.7 Sonnet (thinking)dbmdz/bert-large-cased-finetuned-conll03-english
ProviderAnthropicHugging Face
Input price (per 1M tokens)$3.00n/a
Output price (per 1M tokens)$15.00n/a
Blended price (3:1 input/output)$6.00n/a
Cheaper than … of all models we track8%n/a
Context window200K tokens (~300 pages)n/a
Larger context than … of all models38%n/a
Max output per response64K tokens (~48,000 words)n/a
Input typestext, image, filetext
Output typestexttext
Free variantNoNo
Listed since2025-02-24n/a

What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Anthropic: Claude 3.7 Sonnet (thinking)dbmdz/bert-large-cased-finetuned-conll03-englishDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$525n/a—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$510n/a—
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$540n/a—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$330n/a—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$165n/a—

Capabilities side by side

CapabilityAnthropic: Claude 3.7 Sonnet (thinking)dbmdz/bert-large-cased-finetuned-conll03-englishWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)——return JSON that validates against your schema
Reasoning / thinking mode✓ Yes—spend extra tokens thinking before answering hard problems
Image input✓ Yes—read screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input✓ Yes—accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)——repeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Anthropic: Claude 3.7 Sonnet (thinking) if…

  • you need tool / function calling — to call your APIs and run agent loops; dbmdz/bert-large-cased-finetuned-conll03-english does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; dbmdz/bert-large-cased-finetuned-conll03-english does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; dbmdz/bert-large-cased-finetuned-conll03-english does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; dbmdz/bert-large-cased-finetuned-conll03-english does not advertise it
  • you need built-in web search — to answer from live web results; dbmdz/bert-large-cased-finetuned-conll03-english does not advertise it

Choose dbmdz/bert-large-cased-finetuned-conll03-english if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Frequently asked questions

Is Anthropic: Claude 3.7 Sonnet (thinking) better than dbmdz/bert-large-cased-finetuned-conll03-english?

Anthropic: Claude 3.7 Sonnet (thinking) comes out ahead on the data we track: 5 advantages and none for dbmdz/bert-large-cased-finetuned-conll03-english.

Do Anthropic: Claude 3.7 Sonnet (thinking) and dbmdz/bert-large-cased-finetuned-conll03-english support function calling and JSON output?

Tool calling — Anthropic: Claude 3.7 Sonnet (thinking): yes, dbmdz/bert-large-cased-finetuned-conll03-english: not advertised. JSON-schema structured output — Anthropic: Claude 3.7 Sonnet (thinking): not advertised, dbmdz/bert-large-cased-finetuned-conll03-english: not advertised.

Can Anthropic: Claude 3.7 Sonnet (thinking) or dbmdz/bert-large-cased-finetuned-conll03-english read images?

Only Anthropic: Claude 3.7 Sonnet (thinking) accepts image input; dbmdz/bert-large-cased-finetuned-conll03-english is text-only for input.

Is Anthropic: Claude 3.7 Sonnet (thinking) or dbmdz/bert-large-cased-finetuned-conll03-english free to use?

No free variant is listed for either; both are pay-per-token.

About the two models

Anthropic

Anthropic: Claude 3.7 Sonnet (thinking)

Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. Claude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks. Read more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)

Full Anthropic: Claude 3.7 Sonnet (thinking) specs →

Compare Anthropic: Claude 3.7 Sonnet (thinking) with other models

Compare dbmdz/bert-large-cased-finetuned-conll03-english with other models

Advertisement