What is the IQ of gpt-6.1-terra?

gpt-6.1-terra has an estimated IQ of 132, which ranks #11 out of 175 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is gpt-6.1-terra best at?

Among the dimensions with published benchmark results, gpt-6.1-terra ranks highest in Programmatic Reasoning (IQ 146, #9 of 176) and Knowledge Work (IQ 131, #9 of 175). Its lowest-ranked measured dimension is Reliability (IQ 126, #19 of 176).

What is the EQ of gpt-6.1-terra?

gpt-6.1-terra doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gpt-6.1-terra. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has gpt-6.1-terra been tested on?

gpt-6.1-terra has published results on 10 of the 39 benchmarks behind AI IQ's Composite IQ, including GDP.pdf, Terminal-Bench 4.0, CritPt, AA Omniscience and MMMU-Pro.

How much does gpt-6.1-terra cost?

gpt-6.1-terra costs $1.00 per million input tokens and $5.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $5.08 per million input-plus-output tokens.

Is gpt-6.1-terra open source?

No — gpt-6.1-terra is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

Who developed gpt-6.1-terra?

gpt-6.1-terra was developed by OpenAI, based in the United States.

When was gpt-6.1-terra released?

gpt-6.1-terra was publicly released on October 26, 2026.

How large is the context window of gpt-6.1-terra?

gpt-6.1-terra supports a context window of 1,050,000 tokens — the amount of text it can consider in a single request.

How fast is gpt-6.1-terra?

In independent measurements, gpt-6.1-terra generates about 91 tokens per second, with a typical response time of about 139 seconds.

OpenAIReleased Oct 26, 2026

NewProprietary

gpt-6.1-terra

Strongest in Programmatic Reasoning (#9 of 176) and Knowledge Work (#9 of 175); weakest in Reliability (#19 of 176). Three of seven dimensions are estimated, because no results are published yet.

Composite IQ ?

132

#11 of 175 ranked models · ahead of 94%

OpenAI's #5 model, behind gpt-6.1-sol (141)

Effective cost

$5.08/1M

$1 in · $5 out

Speed

91tok/s

139s typical response

Context

1Mtokens

1,050,000 tokens in

Evidence

4of 7 dims

10 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

MeasuredEstimated95% range

#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10

Abstract ReasoningAbstract

123estimated

#11 / 200

0/5

-4.5

Mathematical ReasoningMath

140estimated

#13 / 175

0/5

-6

Academic ReasoningAcademic

134measured

#13 / 202

4/6

-1

Programmatic ReasoningCoding

146measured

#9 / 176

1/6

-2.5

Computer UseComputer Use

127estimated

#24 / 175

0/5

-15

ReliabilityReliability

126measured

#19 / 176

2/6

-6.5

Knowledge WorkKnowledge Work

131measured

#9 / 175

3/6

gpt-6.1-terra95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

10 of 39 Composite IQ benchmarks have a published result for gpt-6.1-terra. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 123 · estimatedNo published results0/5

No published results yet for Abstract Reasoning. The 123 shown is estimated from gpt-6.1-terra's other dimensions and will be replaced as results come in. How estimates work

ARC-AGI-3ARC-AGI-2ARC-AGI-1Chess PuzzlesMystery Game Puzzles

Mathematical Reasoning IQ 140 · estimatedNo published results0/5

No published results yet for Mathematical Reasoning. The 140 shown is estimated from gpt-6.1-terra's other dimensions and will be replaced as results come in. How estimates work

FrontierMath Tier 4FrontierMath Tier 1-3ProofBench 1.1MathArenaAIME

Academic Reasoning IQ 134 · measuredBest: #13 of 159 on CritPt4/6

BenchmarkScorePercentileRankLeader · source

CritPt

Artificial Analysis v4.3.2 · Oct 27

28.0%

#13 / 159

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27

MMMU-Pro

Artificial Analysis v4.3.2 · Oct 27

84.7%

#10 / 89

Leader fable-5.1 · 90.6%
Artificial Analysis v4.3.2 · Oct 27

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

46.2%

#23 / 167

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27

SciCode

Artificial Analysis v4.3.2 · Oct 27

55.1%

#31 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

GPQA DiamondMMLU-Pro

Programmatic Reasoning IQ 146 · measuredBest: #8 of 104 on Terminal-Bench 4.01/6

BenchmarkScorePercentileRankLeader · source

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

55.6%

#8 / 104

Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

LiveCodeBenchIOI V2ProgramBenchSWE-rebenchMirrorCode

Computer Use IQ 127 · estimatedNo published results0/5

No published results yet for Computer Use. The 127 shown is estimated from gpt-6.1-terra's other dimensions and will be replaced as results come in. How estimates work

BrowseCompOSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 126 · measuredBest: #13 of 158 on AA Omniscience2/6

BenchmarkScorePercentileRankLeader · source

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

29.8

#13 / 158

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

82.7%

#25 / 154

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

SimpleQA VerifiedBullshitBench v2IFBenchFACTS Grounding

Knowledge Work IQ 131 · measuredBest: #6 of 106 on GDP.pdf3/6

BenchmarkScorePercentileRankLeader · source

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

28.6%

#6 / 106

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

60.2%

#19 / 106

Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

1,402

#30 / 111

Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

GDPval-AA v2.1AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Facts from the publisher's announcement and documentation.

Released: Oct 26, 2026
Developer: OpenAI
Access: Available through the OpenAI API as gpt-6.1-terra and rolling out in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users, subject to plan, region, and workspace settings.
Weights: ProprietaryHosted access only
Inputs: textimage
Context: 1,050,000 tokens
API price: $1 in · $5 outper 1M tokens · full pricing

What OpenAI says

OpenAI introduced GPT-6.1 Terra on October 26, 2026 for visual reasoning, computer use, and clear writing.
Supports a 1,050,000-token context window and reasoning effort from none through max.
Standard API prices are $1 per million input tokens and $5 per million output tokens; cached input is $0.05 per million.

Limitations

Audio and video inputs are not supported.
Tool calling requires the Responses API.
Prompts above 272K input tokens incur higher rates.

Publisher statements, not AI IQ measurements.

Sourcesopenai.com/index/introducing-gpt-6-1-terra developers.openai.com/api/docs/models/gpt-6.1-terraopenai.com/research/index/releasehelp.openai.com/en/articles/6825453-chatgpt-release-notes

About this score

How much of gpt-6.1-terra's IQ is measured, and how the rest is estimated.

10/ 39benchmark results

4/ 7dimensions measured

3estimated

0/5Abstract

0/5Math

4/6Academic

1/6Coding

0/5Computer Use

2/6Reliability

3/6Knowledge Work

Bar height = share of benchmarks with resultsEstimatedNo score

Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

Estimates fill the gaps

Abstract Reasoning, Mathematical Reasoning and Computer Use have no published results yet, so their IQ is estimated from gpt-6.1-terra's other dimensions. Missing benchmarks can also draw on its predecessor, GPT 5.6 Terra; a predecessor is an estimation input, not evidence that this model has the predecessor's measured results.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare gpt-6.1-terra

Side-by-side pages for the models it is most often weighed against.

#1 overall

gpt-6.1-sol

IQ141 9 higherEffective cost$6.30 1.2× pricier

Predecessor

gpt-5.6-terra

IQ130 2 lowerEffective cost$13.75 2.7× pricier

IQ133 1 higherEffective cost$87.20 17.2× pricier

Similar price

muse-spark-1.1

IQ119 13 lowerEffective cost$5.14 about the same

#2 overall

opus-5.5

IQ141 9 higherEffective cost$35.73 7.0× pricier

gpt-6.1-terraComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about gpt-6.1-terra, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →

What is the IQ of gpt-6.1-terra?: gpt-6.1-terra has an estimated IQ of 132, which ranks #11 out of 175 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is gpt-6.1-terra best at?: Among the dimensions with published benchmark results, gpt-6.1-terra ranks highest in Programmatic Reasoning (IQ 146, #9 of 176) and Knowledge Work (IQ 131, #9 of 175). Its lowest-ranked measured dimension is Reliability (IQ 126, #19 of 176).
What is the EQ of gpt-6.1-terra?: gpt-6.1-terra doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gpt-6.1-terra. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has gpt-6.1-terra been tested on?: gpt-6.1-terra has published results on 10 of the 39 benchmarks behind AI IQ's Composite IQ, including GDP.pdf, Terminal-Bench 4.0, CritPt, AA Omniscience and MMMU-Pro.
How much does gpt-6.1-terra cost?: gpt-6.1-terra costs $1.00 per million input tokens and $5.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $5.08 per million input-plus-output tokens.
Is gpt-6.1-terra open source?: No — gpt-6.1-terra is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
Who developed gpt-6.1-terra?: gpt-6.1-terra was developed by OpenAI, based in the United States.
When was gpt-6.1-terra released?: gpt-6.1-terra was publicly released on October 26, 2026.
How large is the context window of gpt-6.1-terra?: gpt-6.1-terra supports a context window of 1,050,000 tokens — the amount of text it can consider in a single request.
How fast is gpt-6.1-terra?: In independent measurements, gpt-6.1-terra generates about 91 tokens per second, with a typical response time of about 139 seconds.