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openai-responses/gpt-5.6-terra

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.

VisionReasoningTool callingCachingWeb searchJSON schema
Try openai-responses/gpt-5.6-terraCompareDocs

Specifications

Context window1.1M tokens
Max output128K tokens
API typechat
AddedJul 10, 2026
Model IDazure/openai-responses/gpt-5.6-terra@eastus2
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyMicrosoft Privacy Statement→

Benchmarks

Released 2026-07-09
Coding Indexcoding
76.7%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
92.5%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
55.0%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Input / 1M
$2.50
Output / 1M
$15.00
Cache write
N/A
Cache read / 1M
$0.25
Estimated cost
100K input + 10K output$0.40
1M input + 100K output$4.00
10M input + 1M output$40.00

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to azure/openai-responses/gpt-5.6-terra@eastus2.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="azure/openai-responses/gpt-5.6-terra@eastus2",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Microsoft Azure AI models

gpt-5.6-sol
@swedencentral
1.1M ctx$5.00/1M
Coding 77
gpt-5.6-luna
@swedencentral
1.1M ctx$1.00/1M
Coding 71
gpt-5.6-terra
@swedencentral
1.1M ctx$2.50/1M
Coding 77
gpt-5.6-luna
@eastus2
1.1M ctx$1.00/1M
Coding 71
gpt-5.6-terra
@eastus2
1.1M ctx$2.50/1M
Coding 77
gpt-5.6-sol
@eastus2
1.1M ctx$5.00/1M
Coding 77

Frequently asked questions

How much does openai-responses/gpt-5.6-terra cost?
openai-responses/gpt-5.6-terra is priced at $2.50 per million input tokens and $15.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of openai-responses/gpt-5.6-terra?
openai-responses/gpt-5.6-terra has a context window of 1.1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,400 words of input you can fit in a single prompt.
How does openai-responses/gpt-5.6-terra perform on benchmarks?
openai-responses/gpt-5.6-terra scores 92.5% on GPQA Diamond, 86.3% on τ²-Bench, 76.7% on Coding Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can openai-responses/gpt-5.6-terra do?
openai-responses/gpt-5.6-terra supports vision input, tool calling, extended reasoning, prompt caching, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use openai-responses/gpt-5.6-terra with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "azure/openai-responses/gpt-5.6-terra@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run openai-responses/gpt-5.6-terra through Requesty?
Yes. openai-responses/gpt-5.6-terra runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in eastus2. You do not host the model yourself: point base_url at Requesty, set the model to "azure/openai-responses/gpt-5.6-terra@eastus2", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.
What region is this deployment?
This variant of openai-responses/gpt-5.6-terra is deployed in eastus2. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the Microsoft Azure AI provider page.

Access openai-responses/gpt-5.6-terra through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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