GPT-5.6 Terra API model profile

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

2026-09-06

Knowledge cutoff

2026-02-16

Reference catalog ID

openai/gpt-5.6-terra

When to pick GPT-5.6 Terra

GPT-5.6 Terra is worth reaching for when you need a route carrying one of the widest context windows in the catalog. The conditions below are the ones its own numbers support.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across max, xhigh, high, medium, low, none, so one route can serve both cheap and deep work.

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

Model overview

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.

Reference model ID

openai/gpt-5.6-terra

Canonical version

openai/gpt-5.6-terra-20260709

Hugging Face ID

Not separately documented

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 2026-09-06; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date

2026-09-06

Input

$1 per 1M tokens

Cached input

$0.1 per 1M tokens

Output

$6 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 7 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

7

Best p50 latency

1.72 s

Best p50 throughput

123.5 tok/s

Availability with routing

99.95% over the sampled window

Availability without routing

97.52% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 3 Artificial Analysis indexes and AutoExacto results for 6 provider observations. 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

46.8

Coding Index

76.7

Agentic Index

43.9

AutoExacto coverage

6 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

GPT-5.6 Terra ranked #30 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#30

Global market share

Not inferred

Observation date

2026-09-06

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

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

Sources and evidence dates

1. GPT-5.6 Terra third-party catalog record (catalog, checked 2026-09-06)
2. Third-party model catalog methodology (methodology, checked 2026-09-06)
3. OpenAI official model documentation (primary, checked 2026-09-06)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)
5. GPT-5.6 Terra third-party catalog record (benchmark, checked 2026-09-06)
6. GPT-5.6 Terra provider or route reference (primary, checked 2026-09-06)