GPT-6.1 Terra

OpenAIKey gpt-6.1-terraAlso reported as owo/gpt-6.1-terra, codex/gpt-6.1-terra, auto/gpt-6.1-terra, p2bc7fb/gpt-6.1-terra, main/gpt-6.1-terra, openai/gpt-6.1-terra, p2d5835/gpt-6.1-terra, nexavlinks/gpt-6.1-terra, s2a-codex/gpt-6.1-terra

Rank
#9
by active users
Active users
271
Up 268 from 3 active users in the previous 30 days. vs previous 30 days
Adoption
28%
of 961 accounts
Tokens
478.6B
cache included
Est. cost
$33K
at public list prices
First seen
Aug 21, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)961 accounts100% of tokens from an identified modelData through Nov 12, 2026, 06:58 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

15 active users on Nov 12, 2026

Daily active users for GPT-6.1 Terra, Oct 14, 2026 to Nov 12, 2026. Peak 129. Use the left and right arrow keys to read each day.150750
Show daily values
Daily active users and tokens for GPT-6.1 Terra
Date (UTC)Active usersTokens
Oct 14, 202611.9M
Oct 15, 2026158.7K
Oct 16, 202616.2M
Oct 17, 202600
Oct 18, 202600
Oct 19, 2026130.3K
Oct 20, 202600
Oct 21, 2026132.2K
Oct 22, 202600
Oct 23, 2026149.4K
Oct 24, 2026113.7K
Oct 25, 202600
Oct 26, 2026301.9B
Oct 27, 202611221.4B
Oct 28, 202612933.2B
Oct 29, 202611054.5B
Oct 30, 202610056.9B
Oct 31, 20268843.8B
Nov 1, 20268435.7B
Nov 2, 202610641.1B
Nov 3, 20269435.4B
Nov 4, 20269731.3B
Nov 5, 20268935.2B
Nov 6, 20268029.1B
Nov 7, 20266315.1B
Nov 8, 20265521.4B
Nov 9, 20267012.1B
Nov 10, 2026527B
Nov 11, 2026353.4B
Nov 12, 20261583.1M

Token mix

How the 478.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.3%
  • Output0.1%
  • Cache read99%
  • Cache write<0.1%
  • Reasoning<0.1%

Agents that carry GPT-6.1 Terra

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Codex CLI89% of this model's tokens221active users
  2. Claude Code4.2% of this model's tokens5active users
  3. Oh My Pi3.3% of this model's tokens21active users
  4. Senpi (OmO Native)1.4% of this model's tokens10active users
  5. OpenCode1.3% of this model's tokens20active users
  6. Pi0.5% of this model's tokens15active users
  7. Hermes Agent0.2% of this model's tokens16active users
  8. DeepSeek Harness<0.1% of this model's tokens5active users
  9. Aside<0.1% of this model's tokens11active users
  10. Junie<0.1% of this model's tokens1active users
  11. Copilot<0.1% of this model's tokens1active users
  12. ZCode<0.1% of this model's tokens1active users
  13. Freebuff<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-6.1 Terra in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    167.7
    Rank #6 of 158 matched modelsNo conditions reportedModel released Oct 26, 2026Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    94.3%
    Rank #10 of 160 matched modelsMaxRun date Oct 26, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    90.9%
    Rank #5 of 90 matched modelsMaxRun date Oct 26, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    57.3%
    Rank #22 of 86 matched modelsMaxRun date Oct 26, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. OpenAI is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.07
Est. per 1M tokens
99% cache reads
At the community mix
$0.10
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$2
Per 1M tokens at list prices
No cache

Cache reads were 99% of GPT-6.1 Terra tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • OpenAI list prices per 1M tokens: input $1, output $5, cache read $0.05, cache write $1.25.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.

List prices by provider

  • OpenAIReferencegpt-6.1-terra
    $1 input per 1M tokens$5 output per 1M tokens$0.05 cache read per 1M tokens$1.25 cache write per 1M tokens1.05M tokens of context
  • Amazon Bedrockopenai.gpt-6.1-terra
    $1.10 input per 1M tokens$5.50 output per 1M tokens$0.06 cache read per 1M tokens$1.38 cache write per 1M tokens1.05M tokens of context
  • Azuregpt-6.1-terra
    $1 input per 1M tokens$5 output per 1M tokens$0.05 cache read per 1M tokens$1.25 cache write per 1M tokens1.05M tokens of context
  • OpenRouteropenai/gpt-6.1-terra
    $1 input per 1M tokens$5 output per 1M tokens$0.05 cache read per 1M tokens$1.25 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewayopenai/gpt-6.1-terra
    $1 input per 1M tokens$5 output per 1M tokens$0.05 cache read per 1M tokens$1.25 cache write per 1M tokens1.05M tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1.05M tokens
Max output
128K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Jun 1, 2026
Release date
Oct 26, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-6.1 Terra most in this period, by tokens. Hidden accounts are never listed.

  1. 1Yoginth@bigint115.1Btokens$6.7Kest. cost11active days$6.7K est. cost · 11 active days
  2. 2registered2nd@registered2nd31.2Btokens$1.8Kest. cost7active days$1.8K est. cost · 7 active days
  3. 3Chubby Person@BenLampson29.5Btokens$2Kest. cost13active days$2K est. cost · 13 active days
  4. 4joonyeonglim@joonyeonglim22.6Btokens$1.6Kest. cost7active days$1.6K est. cost · 7 active days
  5. 5Fernando Maluf@Girolino21.6Btokens$2Kest. cost16active days$2K est. cost · 16 active days
  6. 6Christopher Butler@techsaint20Btokens$1.6Kest. cost16active days$1.6K est. cost · 16 active days
  7. 7Jeff Emanuel@Dicklesworthstone15.5Btokens$945est. cost5active days$945 est. cost · 5 active days
  8. 8Dongyeong Jeong@yeongJD13.7Btokens$413est. cost10active days$413 est. cost · 10 active days
  9. 9xt720@xt7209.5Btokens$624est. cost9active days$624 est. cost · 9 active days
  10. 10super244@super2448.8Btokens$489est. cost2active days$489 est. cost · 2 active days

More from OpenAI

Other OpenAI models in the same period, by active users.

  1. GPT-6.1 Sol69% adoption665active users
  2. GPT-6 Astra59% adoption565active users
  3. GPT-6 Luna45% adoption434active users
  4. Codex Auto Review30% adoption289active users
  5. GPT-6 Sol26% adoption247active users
  6. GPT-5.6 Sol23% adoption219active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count