GPT-6.1 Terra API Pricing & Monthly Cost Simulator
Verified 2026 unit economics for OpenAI GPT-6.1 Terra (openai/gpt-6.1-terra): $1/1M uncached input, $0.05/1M cached prefix read, and $5/1M output across a 1,050,000-token context window (released 2026-10-26).
Uncached Input (/1M)
$1
Cached Prompt Read (/1M)
$0.05 (-95%)
Output Completion (/1M)
$5
50% Batch API (In / Out)
$0.5 / $2.5
Interactive 30-Day Monthly Spend Simulator
Live Unit-Cost & Prompt Cache Slider (GPT-6.1 Terra)
openai/gpt-6.1-terra
Estimated 30-day spend
$183.00/mo
Cost per 1,000 calls
$6.1000
Monthly savings vs 0% cache
$57.00/mo
Technical Limits & API Capabilities
Context window
1,050,000
Max output tokens
128,000
Workload tier
Coding & Agent
Input modalities
text, file, image
Tool Calling: Yes
JSON Schema Strict: Yes
Reasoning Tokens: Supported
50% Batch API: Available
Same-Category 2026 Model Alternatives (Coding & Agent)
| Model | Provider | Input / Cached ($/1M) | Output ($/1M) | Context / Max Out |
|---|---|---|---|---|
| GPT-6.1 Terra | OpenAI | $1 / $0.05 | $5 | 1,050,000 / 128,000 |
| Gemini 4 Hydrogen | $1.5 / $0.075 | $7.5 | 1,048,576 / 943,718 | |
| Gemini 4 Carbon | $2 / $0.1 | $10 | 1,048,576 / 943,718 | |
| Muse Ember | Meta | $0.1 / $0.004 | $0.5 | 1,048,576 / 943,718 |
| MiniMax M3.1 Flash | MiniMax | $0.15 / $0.015 | $0.6 | 1,048,576 / 524,288 |
| Muse Spark Open | Meta | $1.25 / $0.15 | $4.25 | 1,048,576 / 943,718 |
| Gemini 4 Argon | $2 / $0.1 | $10 | 1,048,576 / 943,718 |
Head-to-Head Matchups Featuring GPT-6.1 Terra
- Claude Opus 5.5 vs Claude Sonnet 5.5 — $4 vs $2 / 1M
- Claude Sonnet 5.5 vs Claude Haiku 5.5 — $2 vs $0.1 / 1M
- Claude Fable 5.2 vs Claude Opus 5.5 — $8 vs $4 / 1M
Frequently Asked Questions
How much does GPT-6.1 Terra cost per 1 million tokens in 2026?
GPT-6.1 Terra by OpenAI is billed at $1 per 1M uncached input tokens, $0.05 per 1M cached input read tokens (95% cache discount), and $5 per 1M output tokens.
What are the context window and max output token limits for GPT-6.1 Terra?
GPT-6.1 Terra supports a 1,050,000-token input context window and up to 128,000 completion output tokens per request, accepting text, file, image inputs.
Does GPT-6.1 Terra support strict JSON Schema outputs, tool calling, and Batch API?
GPT-6.1 Terra capability profile: tool calling = Supported, strict JSON Schema structured outputs = Supported, reasoning mode = Supported, and 50% asynchronous Batch API = Supported.