Models / OpenAI/ GPT-5.6 Terra

GPT-5.6 Terra

OpenAI · released Jul 9, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Proprietary
Input
$2.00
Output
$12.00
Cached
Not published

List price · per 1M tokens · OpenAI at 1.1M context · source ↗ · a reseller below undercuts it; the table carries the spread

Our take

Written Aug 2, 2026

GPT-5.6 Terra is OpenAI's flagship hosted model that can handle up to 1.05 million tokens in a single request, accepting text, images and files. It offers a wide cost range across its tiers and scores strongly on coding leaderboards, though its creative writing and agentic task results lag well behind.

Who should pick it

Choose this for long-document or codebase analysis at million-token scale, or for budget-conscious coding through OpenAI's entry tier with competitive throughput. It suits teams who want to trade speed against cost within the same model family. Skip it if you need strong creative writing output, reliable agentic task performance, or guaranteed throughput on every provider tier.

The case for it

  • Extremely large request limit at 1,050,000 tokens, rare among hosted models for long-document and codebase work.
  • Consistently strong measured coding performance: around 1520–1522 Elo on Arena Code leaderboards across multiple days.
  • Wide price range lets users trade speed and cost, with a tenfold spread on input rates between entry and premium tiers.
  • Competitive throughput on lower-cost tiers, at 95–99 tokens per second.

The case against it

  • Creative writing scores 92.72 Elo points below its own coding performance, a notable gap within the same model.
  • Agentic task performance is weak in absolute terms, at under 4% on the Arena Agent benchmark.
  • Throughput drops on some higher-priced tiers, falling to 43–48 tokens per second despite paying more.
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How good is it?

IntelligencePuzzles, maths, exam questions

4 of 5

Arena Text (overall)22nd of 143 · 1467.8via xHigh

Arena Hard Prompts 20th of 143 via xHighArena Maths 16th of 139 via xHighLiveBench Data Analysis 4th of 35 via MaxLiveBench Reasoning 4th of 35 via MaxLiveBench Mathematics 5th of 35 via Max

CodingWriting and fixing code on its own

4 of 5

Arena Coding14th of 143 · 1520.2via xHigh

Arena Code (WebDev) 16th of 74 via codex-harnessLiveBench Coding 15th of 35 via Max

AgenticPlanning, calling tools, staying on task

3 of 5

Arena Agent (IPS)12th of 36 · 0.035via xHigh

LiveBench Agentic Coding 8th of 35 via Max

WritingWe do not rate this

Scored, not ratedThe placings are on the right.

Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where GPT-5.6 Terra placed and give it no mark out of five.

Arena Creative Writing 37th of 143 · 1418.7 via xHighLiveBench Language 9th of 35 · 82.9 via Max
Also scored, on boards we give no mark for
Arena Instruction Following 19th of 143 via xHighLiveBench 7th of 35 via MaxLiveBench Instruction Following 18th of 35 via Max

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

Every published score for this model16 scoresEvery figure we hold, from 16 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
77.9via Maxindependentsource ↗
55via Maxindependentsource ↗
78.3via Maxindependentsource ↗
79.3via Maxindependentsource ↗
82.9via Maxindependentsource ↗
94.9via Maxindependentsource ↗
90.6via Maxindependentsource ↗
0.035via xHighindependentsource ↗
1520.2via xHighindependentsource ↗
1418.7via xHighindependentsource ↗
1489.1via xHighindependentsource ↗
1463.8via xHighindependentsource ↗
1475.9via xHighindependentsource ↗
1467.8via xHighindependentsource ↗
1521.6via codex-harnessindependentsource ↗
01

Or rent it from someone else

Cheapest published offer

Why this differs from the header. The strip above quotes OpenAI's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$1.00 in / $6.00 out
Context served
1.1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenAIflex tier$0.50 / $3.001.1M71 tok/sNoYesunknown periodUnknown
OpenRouter$1.00 / $6.001.1Mnot measuredUnknownUnknownUnknown
OpenAI$2.00 / $12.001.1M128K outnot measuredNoYesunknown periodUnknown
Amazon Bedrockus-east-1$2.20 / $13.201.1M99 tok/sNoNoUnknown
Microsoft Azure AI$2.50 / $15.001.1M58 tok/sNoNoConfirmed
Microsoft Azure AIeu$2.75 / $16.501.1M7 tok/sNoNoConfirmed
OpenAIpriority tier$5.00 / $30.001.1Mnot measuredNoYesunknown periodUnknown

Across the 7 listings we hold: 6 say they do not train on prompts, 0 say they do and 1 do not say. 2 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenAIflex
OpenRouter
OpenAI
Amazon Bedrockus-east-1
Microsoft Azure AI
Microsoft Azure AIeu
OpenAIpriority

Tool calling: 7 of 7 listings say yes. JSON output: 6 of 7 listings say yes, 1 says no. Strict schema: 6 of 7 listings say yes, 1 says no.

02

When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 1520.2 via xHigh on Arena Codingleaderboard
Aug 2, 2026BenchmarkScored 1418.7 via xHigh on Arena Creative Writingleaderboard
Aug 2, 2026BenchmarkScored 1489.1 via xHigh on Arena Hard Promptsleaderboard
Aug 2, 2026BenchmarkScored 1463.8 via xHigh on Arena Instruction Followingleaderboard
Aug 2, 2026BenchmarkScored 1475.9 via xHigh on Arena Mathsleaderboard
Aug 2, 2026BenchmarkScored 1467.8 via xHigh on Arena Text (overall)leaderboard
Aug 2, 2026BenchmarkScored 1521.6 via codex-harness on Arena Code (WebDev)leaderboard
Jul 31, 2026Price changeOpenAI cut GPT-5.6 Terra pricing by 20%input −20% ($2.50 → $2.00 per 1M tokens); output −20% ($15.00 → $12.00 per 1M tokens)
Jul 31, 2026Price changeAmazon Bedrock raised GPT-5.6 Terra pricing by 10%input +10% ($2.00 → $2.20 per 1M tokens); output +10% ($12.00 → $13.20 per 1M tokens); cache read +10% ($0.20 → $0.22 per 1M tokens); cache write +10% ($2.50 → $2.75 per 1M tokens)
Jul 30, 2026Price changeGPT-5.6 Terra cut across 2 hosts, by up to 20% at OpenRouterGPT-5.6 Terra moved on 2 hosts: OpenRouter: input −20% ($1.25 → $1.00 per 1M tokens); output −20% ($7.50 → $6.00 per 1M tokens); cache read −20% ($0.13 → $0.10 per 1M tokens); cache write −20% ($1.56 → $1.25 per 1M tokens); OpenAI: input −20% ($0.63 → $0.50 per 1M tokens); output −20% ($3.75 → $3.00 per 1M tokens); cache read −20% ($0.063 → $0.050 per 1M tokens); cache write −20% ($0.78 → $0.63 per 1M tokens)

Prices last checked 9d ago

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 7 listings do not say whether they train on prompts.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+image+file->text
Catalogue slug
openai-gpt-5-6-terra

Machine-readable model card (omc.json) →

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