Models / OpenAI/ GPT-5.6 Terra

GPT-5.6 Terra

OpenAI · released Jul 9, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$12.00
Cached
$0.20

List price · per 1M tokens · OpenAI at 922K context · machine-readable source ↗

Our take

Written Sep 17, 2026

GPT-5.6 Terra is a hosted-only model: we list no download for it, so using it means choosing a host. Its strongest evidence is on set-piece maths and reasoning, and it is the expensive end of the market to run at scale.

Who should pick it

Reach for it when measured maths and reasoning quality matters more than the bill, or when long documents would otherwise need splitting before you can ask about them. It also takes images and files alongside the question. Skip it if you need to run the model on your own machine, or if cost per token is the deciding factor.

The case for it

  • 94.91% on LiveBench Mathematics and 90.63% on Reasoning, both averages over competition-style problems rather than fixing issues in an existing project.
  • The request capacity is large enough that long documents need not be split up first, though reliable recall across all of it is unverified in our data.
  • Text, image and file input with written output, so a screenshot or a document does not have to be described in words first.

The case against it

  • The cheapest listed offer sits at the top of the market, and the other hosts listed are at double that rate or above.
  • Agentic coding is its weakest measured category, at 54.95% on LiveBench Agentic Coding inside an agent harness, so it reflects the model working within that scaffold rather than alone.
  • We list no download for it, so using it means choosing a host.
00

How good is it?

A closed text model from OpenAI for everyday questions, coding and tool use, with strong steerability.

Good at
  • getting answers to everyday questionsArena Text (overall) · 34th of 168
  • writing and completing codeArena Coding · 28th of 168
  • calling tools to carry out requestsArena Agent · Tool use · 9th of 55
  • changing course when you give new instructionsArena Agent · Steerability · 13th of 55

EverydayGeneral questions and everyday reasoning

4 of 5

Arena Text (overall)34th of 168 · 1465

Arena Hard Prompts 32nd of 168Arena Maths 27th of 163LiveBench Reasoning 8th of 58LiveBench Data Analysis 10th of 58LiveBench Mathematics 13th of 58

CodingWriting and fixing code on its own

4 of 5

Arena Coding28th of 168 · 1516

Arena Code (WebDev) 34th of 95LiveBench Coding 27th of 58

AgenticPlanning, calling tools, staying on task

2.5 of 5

Arena Agent24th of 55 · 0.008

LiveBench Agentic Coding 24th of 58

WritingDrafting and rewriting prose

3 of 5

Arena Creative Writing46th of 168 · 1428

LiveBench Language 18th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one9th of 55
Steerabilitydoes what it was asked, and changes course when told13th of 55
Recoverygets back on track after a command fails24th of 55
Task outcomefinishes what the session set out to do40th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 31st of 168LiveBench 18th of 58LiveBench Instruction Following 37th of 58Arena Agent · Tool use 9th of 55Arena Agent · Steerability 13th of 55Arena Agent · Recovery 24th of 55Arena Agent · Task outcome 40th of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
77.94source ↗
54.95source ↗
78.25source ↗
79.31source ↗
64.62source ↗
82.89source ↗
94.91source ↗
90.63source ↗
0.008source ↗
0.024source ↗
0.043source ↗
−0.059source ↗
0.004source ↗
1516source ↗
1428source ↗
1488source ↗
1462source ↗
1478source ↗
1465source ↗
1521source ↗
01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Microsoft Azure AI, through OpenRouter

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

per 1M tokens
$2.00 in / $12.00 out
Context served
1.1M
Throughput
~54 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenAIflex tierThrough OpenRouter$1.00 / $6.00checked 4 hours ago1.1M128K max reply84 tok/sNoYesunknown periodUnknown
Microsoft Azure AIThrough OpenRouter$2.00 / $12.00checked 4 hours ago1.1M128K max reply54 tok/sNoNoConfirmed
OpenRouterOpenRouter's own listing$2.00 / $12.00checked 4 hours ago1.1Mnot measuredUnknownUnknownUnknown
OpenAIDirect$2.00 / $12.00checked 4 hours ago922K128K max reply46 tok/sNoYesunknown periodUnknown
Microsoft Azure AIeuThrough OpenRouter$2.20 / $13.20checked 4 hours ago1.1M128K max reply80 tok/sNoNoConfirmed
Amazon Bedrockus-east-1Through OpenRouter$2.20 / $13.20checked 4 hours ago1.1M128K max reply89 tok/sNoNoUnknown
Microsoft Azure AIusThrough OpenRouter$2.20 / $13.20checked 4 hours ago1.1M128K max reply23 tok/sNoNoConfirmed
OpenAIfast tierThrough OpenRouter$4.00 / $24.00checked 4 hours ago1.1M128K max reply104 tok/sNoYesunknown periodUnknown

Across the 8 listings we hold: 7 say they do not train on prompts, 0 say they do and 1 does not say. 3 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

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

API features per host
ProviderTool callingJSON outputStrict schema
OpenAIflexThrough OpenRouter✓✓✓
Microsoft Azure AIThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
OpenAIDirect✓✓✓
Microsoft Azure AIeuThrough OpenRouter✓✓✓
Amazon Bedrockus-east-1Through OpenRouter✓✗✗
Microsoft Azure AIusThrough OpenRouter✓✓✓
OpenAIfastThrough OpenRouter✓✓✓

Tool calling: 8 of 8 listings say yes. JSON output: 7 of 8 listings say yes, 1 says no. Strict schema: 7 of 8 listings say yes, 1 says no.

02

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 0.008 via xHigh on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.024 via xHigh on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.043 via xHigh on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored −0.059 via xHigh on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.004 via xHigh on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1516 via xHigh on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1428 via xHigh on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1488 via xHigh on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1462 via xHigh on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1478 via xHigh on Arena Maths
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

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 8 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
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

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
openai-gpt-5-6-terra

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us