---
title: "GPT-5.6 Terra API: facts and benchmarks | Kendr"
canonical: "https://kendr.org/models/kc-gpt-5.6-terra"
date_modified: "2026-08-12"
profile_kind: "hosted"
---

# GPT-5.6 Terra API model profile

GPT-5.6 Terra is a OpenAI model profile with a 1,050,000-token context window. The dated catalog snapshot records file, image, text modalities and interfaces for agentic, coding, file input, prompt caching, reasoning.

GPT-5.6 Terra is available under the Kendr alias kc-gpt-5.6-terra. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

GPT-5.6 Terra accepts file, image, and text and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

The dated reference snapshot lists $1 input and $6 output per million tokens. Cached input is $0.1 per million tokens. The separately published provider-route reference is $2 / $12 (≤272K input; cache writes $2.50/M).

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

GPT-5.6 Terra ranked #17 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

## Profile facts

- **Profile type:** Kendr API model
- **Kendr API alias:** kc-gpt-5.6-terra
- **Model developer:** OpenAI
- **Kendr route provider:** OpenAI
- **Context window:** 1.05M
- **Snapshot date:** 2026-08-12
- **Reference catalog ID:** openai/gpt-5.6-terra

## Context, modalities, and identity

GPT-5.6 Terra accepts file, image, and text and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

- **Model developer:** OpenAI
- **Kendr route provider:** OpenAI
- **Context window:** 1.05M
- **Maximum output:** 128,000 tokens
- **Input modalities:** file, image, and text
- **Output modalities:** text
- **Knowledge cutoff:** 2026-02-16

## Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

- **Supported parameters:** include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools

- agentic
- coding
- file input
- prompt caching
- reasoning
- reasoning controls
- structured output
- text generation
- tool calling
- tools
- vision
- web search
- web search pricing

## Dated pricing snapshot

The dated reference snapshot lists $1 input and $6 output per million tokens. Cached input is $0.1 per million tokens. The separately published provider-route reference is $2 / $12 (≤272K input; cache writes $2.50/M).

Reference figures are dated 2026-08-12; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

- **Price date:** 2026-08-12
- **Input:** $1 per 1M tokens
- **Cached input:** $0.1 per 1M tokens
- **Output:** $6 per 1M tokens

| Prompt threshold | Input | Cached input | Output |
| --- | --- | --- | --- |
| From 272,000 prompt tokens | $2 / 1M | $0.2 / 1M | $9 / 1M |

## Benchmark evidence and limitations

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

- **Intelligence Index:** 56.6
- **Coding Index:** 76.7
- **Agentic Index:** 50.2

## Popularity and market context

GPT-5.6 Terra ranked #17 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

- **Third-party catalog rank:** #17
- **Global market share:** Not inferred
- **Observation date:** 2026-08-12

## OpenAI-compatible API example

```bash
curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-gpt-5.6-terra","messages":[{"role":"user","content":"Hello"}]}'
```

## Frequently asked questions

### What is GPT-5.6 Terra?

GPT-5.6 Terra is a OpenAI model profile with a 1,050,000-token context window. The dated catalog snapshot records file, image, text modalities and interfaces for agentic, coding, file input, prompt caching, reasoning.

### What context window does GPT-5.6 Terra have?

The dated profile lists 1.05M of context and up to 128,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

### What benchmark evidence is available for GPT-5.6 Terra?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

### What is the Kendr API alias for GPT-5.6 Terra?

Use kc-gpt-5.6-terra as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

### How is GPT-5.6 Terra priced on Kendr?

The dated reference snapshot lists $1 input and $6 output per million tokens. Cached input is $0.1 per million tokens. The separately published provider-route reference is $2 / $12 (≤272K input; cache writes $2.50/M). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

## Sources and evidence dates

- [GPT-5.6 Terra third-party catalog record](https://openrouter.ai/openai/gpt-5.6-terra) — catalog, checked 2026-08-12
- [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12
- [OpenAI official model documentation](https://developers.openai.com/api/docs/models) — primary, checked 2026-08-12
- [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12
- [GPT-5.6 Terra provider or route reference](https://developers.openai.com/api/docs/models/gpt-5.6-terra) — primary, checked 2026-08-12

Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.