Adjustable Reasoning Effort
Reasoning effort scales from none to max per request, so one gpt-5.6-terra deployment covers quick lookups and multi-step analysis without switching models or renegotiating cost.
GPT 5.6 Terra
gpt-5.6-terra is the balanced tier of OpenAI's GPT-5.6 family, positioned for everyday production traffic: coding, RAG, document analysis, and structured outputs. The gpt 5.6 terra api on GPTProto costs $2/$12 per 1M tokens — 20% under OpenAI's $2.50/$15 — billed from one balance shared across 200+ models.
API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-5.6-terra",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 5.6 Terra pricing
Estimate a request with real work scenarios. GPTProto token pricing is 20% below official rates.
Cost calculator
Multi-turn agent with cached context.
$1.6 / 1M$0.0024
$9.6 / 1M$0.00768
$2 / 1M$0.006
$0.16 / 1M$0.004
Cost per request$0.02008
Top up
GPTProto vs official pricing.Requests
You pay
20% off
$100You receive$100.00
Save$25.00 (20%)vs OpenAI official
Related Models
All Models| Model | Input → Output | ||||
|---|---|---|---|---|---|
 | 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | |
| 1.05M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.45 / $2.25 per 1M | — / $0.04 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.00 / $20.00 per 1M | $5.00 / $0.40 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.45 / $2.25 per 1M | — / $0.04 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.18 / $1.50 per 1M | $0.02 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $4.00 / $24.00 per 1M | $5.00 / $0.40 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.60 / $8.00 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| — | $1.00 / $8.00 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| — | 1.05M | $0.44 / $1.32 per 1M | — / $0.01 per 1M | Input: Text Output: Text | |
| — | 1.05M | $1.32 / $3.96 per 1M | — / $0.04 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 1.05M | $24.00 / $144.00 per 1M | — | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $24.00 / $144.00 per 1M | — | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $4.00 / $24.00 per 1M | $0.40 / $0.40 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: Document Output: Text | ||
| 164K | $0.17 / $0.25 per 1M | $0.02 / $0.02 per 1M | Input: Text Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| — | $0.04 / $0.18 per 1M | $0.009 / $0.009 per 1M | Input: Text Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
GPT 5.6 Terra API
The balanced tier of OpenAI's GPT-5.6 family — GPT-5.5-competitive quality at half the official price, 20% cheaper again on GPTProto.
GPT-5.5 Quality at Half the Price
OpenAI positions gpt-5.6-terra as competitive with GPT-5.5: 87.4% on Terminal-Bench 2.1 and 77 on the Artificial Analysis Coding Agent Index — at half GPT-5.5's official token price.
Strict JSON for Pipelines
Strict schema mode returns JSON that conforms to your spec on every call — suited to ETL, extraction, and API orchestration where one malformed field breaks downstream systems.
1M-Token Context Window [
gpt-5.6-terra accepts up to 1,050,000 input tokens with 128K max output. Load full document sets into a single RAG request instead of chunking across calls.
What Is the GPT 5.6 Terra API?
GPT 5.6 Terra is the middle tier of OpenAI's GPT-5.6 family, released to general availability on July 9, 2026 alongside gpt-5.6-sol (flagship) and gpt-5.6-luna (fastest, cheapest). It corresponds to the mini tier of earlier GPT-5 generations and targets the bulk of production traffic: customer support, internal tools, document analysis, and everyday agentic coding where the flagship's higher ceiling isn't needed.
The openai gpt 5.6 terra api runs on GPTProto with the same model string and OpenAI-compatible schema — no separate OpenAI account, no additional security enrollment, one API key that also covers Sol, Luna, and 200+ other models.
| Spec | gpt-5.6-terra |
|---|---|
| Provider | OpenAI |
| Modality | Text & Image in / text out |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Knowledge cutoff | February 16, 2026 |
| Reasoning effort | none / low / medium / high / xhigh / max |
| Structured outputs | Strict JSON schema mode |
| Tool use | Programmatic Tool Calling (Responses API) |
| GPTProto price | $2 input / $12 output per 1M tokens |
| Official price | $2.50 input / $15 output per 1M tokens |
| Model string | gpt-5.6-terra |
If you searched for the gpt 5.6 terra api token limit: the numbers above are OpenAI's published caps — 1.05M in, 128K out. Requests above 272K input tokens are priced at 2x input / 1.5x output on OpenAI's official API.
GPT 5.6 Terra vs GPT-5.5
| gpt-5.6-terra | gpt-5.5 | |
|---|---|---|
| Terminal-Bench 2.1 | 87.4% | 88.0% |
| SWE-Bench Pro | 63.4% | 58.6% |
| Artificial Analysis Intelligence Index | 55 | 55 |
| Artificial Analysis Coding Agent Index | 77 (Codex harness) | 76 (Codex harness) |
| Official price per 1M | $2.50 / $15 | $5 / $30 |
| GPTProto price per 1M | $2 / $12 | $4 / $24 |
The two models tie on the Artificial Analysis Intelligence Index and split the coding benchmarks — a 0.6-point Terminal-Bench gap against a 4.8-point SWE-Bench Pro lead for Terra. At half the price, cheaper gpt 5.6 terra api access is the default recommendation for teams currently running GPT-5.5 in production; keep gpt-5.5 as a rollback string during migration.
For the full three-tier family comparison (Sol vs Terra vs Luna), see the table on the gpt-5.6-sol page.
What a real workload costs on GPTProto ($2/$12 per 1M):
| Workload | Input | Output | GPTProto cost | Official cost |
|---|---|---|---|---|
| Document analysis run | 200K | 10K | $0.52 | $0.65 |
| Daily batch job | 10M | 1M | $32.00 | $40.00 |
| Support bot, monthly | 100M | 20M | $440.00 | $550.00 |
gpt-5.6-terra FAQ: Performance & Implementation
Get answers to common questions about the gpt 5.6 terra api: pricing on GPTProto, context window and token limits, structured JSON output, and how Terra compares with Sol and GPT-5.5.
What makes gpt-5.6-terra ideal for RAG systems?
Two things: capacity and output discipline. The 1,050,000-token context window lets a RAG pipeline pass large retrieved document sets in a single request, and strict JSON schema mode returns structured, validated answers your downstream code can consume directly. OpenAI's published results — 87.4% on Terminal-Bench 2.1, 63.4% on SWE-Bench Pro — put Terra close to the flagship at half the price, which is the cost profile most production RAG workloads need.
How does gpt-5.6-terra handle structured JSON data?
The gpt-5.6-terra model utilizes a specialized decoding strategy designed for 100% adherence to supplied JSON schemas. This is a critical feature for developers building automated ETL pipelines or API orchestration layers where predictable output is mandatory. By using the strict schema mode, you can ensure that the gpt-5.6-terra output always matches your technical specifications without manual validation or unnecessary retry logic.
What is the context window for gpt-5.6-terra?
OpenAI's published spec is 1,050,000 input tokens and 128,000 output tokens, shared across all three GPT-5.6 tiers. Requests above 272K input are priced at a higher tier on OpenAI's official API.
How does pricing work for gpt-5.6-terra on GPTProto?
A: On GPTProto, gpt-5.6-terra costs $2 per 1M input tokens and $12 per 1M output tokens — 20% under OpenAI's official $2.50/$15. There is no platform fee; usage draws from one balance shared across 200+ models, so you can A/B Terra against Sol, Luna, or GPT-5.5 without maintaining separate provider accounts.
When should I choose Terra over the Sol variant?
Terra handles everyday production traffic at half of Sol's price with small benchmark gaps (87.4% vs 88.8% Terminal-Bench 2.1). Reserve Sol for long agent runs and tasks that are expensive to redo. Prototype on Sol, then test whether Terra holds your quality bar.
Is data sent to gpt-5.6-terra used for training?
No. Security and privacy are paramount for enterprise users. As a professional API aggregator, GPTProto ensures that all data processed via the gpt-5.6-terra endpoint is strictly excluded from any vendor training sets. Your proprietary information, customer queries, and internal documentation processed by gpt-5.6-terra remain confidential. This allows you to deploy AI solutions in regulated industries without compromising data integrity.
Is the gpt 5.6 terra api open source?
No. GPT-5.6 Terra is a proprietary OpenAI model — there are no open weights. What GPTProto provides is gpt 5.6 terra api access without an OpenAI account: same model string, OpenAI-compatible schema, at $2/$12 per 1M tokens.
How do I get gpt 5.6 terra api access?
Sign up for a free GPTProto account, top up a balance, and generate an API key — the four steps below. The same key works for the gpt 5.6 terra model api and every other model on the platform.
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