Choose Anthropic: Claude Sonnet 4.6 if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
OpenAI: GPT-6.1 Terra (batch) comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Sonnet 4.6.
| Spec | Anthropic: Claude Sonnet 4.6 | OpenAI: GPT-6.1 Terra (batch) |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input price (per 1M tokens) | $3.00 | $0.50 |
| Output price (per 1M tokens) | $15.00 | $2.50 |
| Blended price (3:1 input/output) | $6.00 | $1.00 |
| Cheaper than … of all models we track | 8% | 38% |
| Context window | 1M tokens (~1,500 pages) | 1.1M tokens (~1,575 pages) |
| Larger context than … of all models | 68% | 92% |
| Max output per response | 128K tokens (~96,000 words) | 128K tokens (~96,000 words) |
| Input types | text, image, file | file, image, text |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-02-17 | 2026-10-26 |
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 Sonnet 4.6 | OpenAI: GPT-6.1 Terra (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $525 | $87.50 | OpenAI: GPT-6.1 Terra (batch) saves $438 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $510 | $85.00 | OpenAI: GPT-6.1 Terra (batch) saves $425 |
| 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) | $540 | $90.00 | OpenAI: GPT-6.1 Terra (batch) saves $450 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $330 | $55.00 | OpenAI: GPT-6.1 Terra (batch) saves $275 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $165 | $27.50 | OpenAI: GPT-6.1 Terra (batch) saves $138 |
| Capability | Anthropic: Claude Sonnet 4.6 | OpenAI: GPT-6.1 Terra (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | ✓ Yes | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | ✓ Yes | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | 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.
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
OpenAI: GPT-6.1 Terra (batch) comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Sonnet 4.6.
OpenAI: GPT-6.1 Terra (batch) is cheaper: $1.00 vs $6.00 per 1M tokens at a typical 3:1 input/output mix, 83% less. For 50,000 support conversations a month that is $87.50 against $525.
Anthropic: Claude Sonnet 4.6 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens; OpenAI: GPT-6.1 Terra (batch) costs $0.50 input and $2.50 output. Output tokens are billed separately, so long answers shift the gap.
OpenAI: GPT-6.1 Terra (batch): 1.1M tokens, about 1,575 pages, against 1M (about 1,500 pages) for Anthropic: Claude Sonnet 4.6.
Tool calling — Anthropic: Claude Sonnet 4.6: yes, OpenAI: GPT-6.1 Terra (batch): yes. JSON-schema structured output — Anthropic: Claude Sonnet 4.6: yes, OpenAI: GPT-6.1 Terra (batch): yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Anthropic: Claude Sonnet 4.6 can write up to 128K tokens (about 96,000 words) per response; OpenAI: GPT-6.1 Terra (batch) up to 128K (about 96,000 words).
Anthropic: Claude Sonnet 4.6 was listed on 2026-02-17; OpenAI: GPT-6.1 Terra (batch) on 2026-10-26.
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...
Full Anthropic: Claude Sonnet 4.6 specs →GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
Full OpenAI: GPT-6.1 Terra (batch) specs →