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  4. /gpt-5.6-terra
OpenAI
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.

Modalities

Input: TextInput: ImageInput: Document
Output: Text

/

Context

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

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 20% below official rates.

Your usage

OpenAI · ≈ 148M tokens/mo (48M cached)

OpenRouter
List + 5.5% credit fee
$330.85
per month
Input (non-cached)$67.52
Cache read$10.128
Output$253.20
OpenAI
Direct from OpenAI (list price)
$313.60
per month
Input (non-cached)$64
Cache read$9.6
Output$240
BEST VALUE
GPTProto
20% off official
$250.88
per month
After discount$250.88
Effective$250.88
Monthly cost by source
OpenRouter
$330.85
OpenAI
$313.60
GPTProto
$250.88
Save $62.72 / month
on GPTProto vs OpenAI (−20%)
Annual savings ≈ $752.64 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

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GPT 5.6 Terra
Current
$ 
byOpenAI1.05M context$1.6/M input$9.6/M output
DeepSeek Flash
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byDeepSeek$0.3/M input$1.2/M output
Hy4 Preview
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byHunyuan1.05M context$0.7923/M input$2.376/M output
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byOpenAI1.05M context$8/M input$40/M output
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byGoogle1.05M context$0.9/M input$4.5/M output
Claude Fable 5.1
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byClaude1M context$9/M input$45/M output
Qwen3.8 Max 0902
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byQwen1M context$1.8/M input$5.4/M output
GLM 5.3 Flash
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byZ-AI1.31M context$0.15/M input$0.5/M output
DeepSeek v4 Flash Vision Exp
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byDeepSeek1.05M context$0.3/M input$1.2/M output
GLM 5.3
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byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
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byGoogle1.05M context$0.9/M input$4.5/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
Qwen3.8 Max
$ 
byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
$ 
byClaude1M context$4.5/M input$22.5/M output
Gemini 3.6 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
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byMoonshotAI1.05M context$2.7/M input$13.5/M output
GPT 5.6 Luna
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byOpenAI1.05M context$0.16/M input$0.96/M output
GPT 5.6 Sol
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byOpenAI1.05M context$3.2/M input$16/M output
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byGrok500K context$1.2/M input$3.6/M output
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byClaude1M context$1.8/M input$9/M output
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byMiniMax1.05M context$0.48/M input$0.96/M output
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byZ-AI1.05M context$1.26/M input$3.96/M output
GPT 5.1 Chat Latest
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byOpenAI$1/M input$8/M output
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byQwen1M context$0.36/M input$1.44/M output
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byDeepSeek1.05M context$0.3/M input$1.2/M output
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byGrok1M context$0.75/M input$1.5/M output
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byOpenAI1.05M context$24/M input$144/M output
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byOpenAI1.05M context$24/M input$144/M output
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byMoonshotAI262K context$0.855/M input$3.6/M output
Minimax M2.5
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byMiniMax205K context$0.24/M input$0.96/M output
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$ 
byMoonshotAI262K context$0.54/M input$2.7/M output
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$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Thinking (Build 250615)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Flash (Build 250615)
$ 
byBytedance262K context$0.0182/M input$0.1821/M output
ModelInput → Output
GPT 5.6 TerraCurrent
$ 
1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek Flash
$ 
——$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
Hy4 Preview
$ 
1.05M$0.79 / $2.38 per 1M— / $0.04 per 1M
Input: Text
Output: Text
GPT 6 Astra
$ 
1.05M$8.00 / $40.00 per 1M$10.00 / $0.80 per 1M
Input: TextInput: ImageInput: Document
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Gemini 3.8 Flash
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1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
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Claude Fable 5.1
$ 
1M$9.00 / $45.00 per 1M$11.25 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Qwen3.8 Max 0902
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
Output: Text
GLM 5.3 Flash
$ 
—1.31M$0.15 / $0.50 per 1M— / $0.03 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
DeepSeek v4 Flash Vision Exp
$ 
—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
GLM 5.3
$ 
1.31M$1.26 / $3.96 per 1M— / $0.23 per 1M
Input: TextInput: ImageInput: Document
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Gemini 3.7 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Grok 4.6
$ 
500K$1.20 / $3.60 per 1M— / $0.30 per 1M
Input: TextInput: Image
Output: Text
Qwen3.8 Max
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
Claude Opus 5
$ 
1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: ImageInput: Document
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1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
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$ 
1.05M$2.70 / $13.50 per 1M$0.27 / $0.27 per 1M
Input: TextInput: ImageInput: Document
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$ 
1.05M$0.16 / $0.96 per 1M$0.20 / $0.02 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Sol
$ 
1.05M$3.20 / $16.00 per 1M$4.00 / $0.32 per 1M
Input: TextInput: ImageInput: Document
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$ 
500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
Input: TextInput: Image
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Claude Sonnet 5
$ 
1M$1.80 / $9.00 per 1M$2.25 / $0.18 per 1M
Input: TextInput: Document
Output: Text
Minimax M3
$ 
1.05M$0.48 / $0.96 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GLM 5.2
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1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.1 Chat Latest
$ 
—$1.00 / $8.00 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
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Qwen3.7 Max
$ 
1M$0.36 / $1.44 per 1M$0.07 / $0.07 per 1M
Input: TextInput: Document
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DeepSeek v4 Flash
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—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: Text
Output: Text
Grok 4.3
$ 
1M$0.75 / $1.50 per 1M$0.12 / $0.12 per 1M
Input: TextInput: Image
Output: Text
GPT 5.4 Pro
$ 
1.05M$24.00 / $144.00 per 1M—
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.5 Pro
$ 
1.05M$24.00 / $144.00 per 1M—
Input: TextInput: ImageInput: Document
Output: Text
Kimi K2.6
$ 
262K$0.85 / $3.60 per 1M$0.14 / $0.14 per 1M
Input: TextInput: Document
Output: Text
Minimax M2.5
$ 
205K$0.24 / $0.96 per 1M$0.30 / $0.02 per 1M
Input: TextInput: Document
Output: Text
Kimi K2.5
$ 
262K$0.54 / $2.70 per 1M$0.09 / $0.09 per 1M
Input: TextInput: Document
Output: Text
Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking (Build 250615)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash (Build 250615)
$ 
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.

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-5.5 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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With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

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To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

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We understand that stability is paramount. Our platform is built on a robust, decentralized architecture supporting dynamic Auto-scaling. Whether you are running a pilot or handling millions of concurrent requests, our system expands instantly to meet demand—guaranteeing that your business never outgrows our infrastructure.

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Features

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Video

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