GPT-6 Astra

OpenAIKey gpt-6-astraAlso reported as openai/gpt-6-astra, router_client:codex/gpt-6-astra, sub2api-codex/gpt-6-astra, auto/gpt-6-astra, vm2api/gpt-6-astra, p2bc7fb/gpt-6-astra, codex/gpt-6-astra, bearlab/gpt-6-astra, owo/gpt-6-astra, linkapi/gpt-6-astra, main/gpt-6-astra, sub2api/gpt-6-astra, p00c634/gpt-6-astra, gpt/gpt-6-astra, claude-openai/gpt-6-astra, codebuddy-api/gpt-6-astra, laysoai/gpt-6-astra, router_client:unknown/gpt-6-astra, combo/gpt-6-astra, pve-codex-1/gpt-6-astra

Rank
#20
by active users
Active users
935
All time
Adoption
38%
of 2,457 accounts
Tokens
4.5T
cache included
Est. cost
$7.5M
at public list prices
First seen
Jul 24, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:55 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

46 active users on Nov 12, 2026

Daily active users for GPT-6 Astra, Oct 10, 2024 to Nov 12, 2026. Peak 588. Use the left and right arrow keys to read each day.6003000
Show daily values
Daily active users and tokens for GPT-6 Astra
Date (UTC)Active usersTokens
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Jul 25, 202611.8M
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Aug 13, 20261335K
Aug 14, 2026134.7K
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Aug 18, 2026253.8M
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Aug 21, 2026213.2M
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Aug 24, 20262147.6M
Aug 25, 202612.9M
Aug 26, 2026161M
Aug 27, 202612.8M
Aug 28, 2026240.7M
Aug 29, 202614.4M
Aug 30, 2026111.9M
Aug 31, 2026124.2M
Sep 1, 20262103.9M
Sep 2, 2026325.9M
Sep 3, 2026217.2M
Sep 4, 202612418.6B
Sep 5, 2026460104.9B
Sep 6, 2026485128.9B
Sep 7, 2026588171.9B
Sep 8, 2026581189.5B
Sep 9, 2026584189.9B
Sep 10, 2026562131.8B
Sep 11, 2026506109.2B
Sep 12, 2026465103.7B
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Sep 15, 2026505106.8B
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Sep 24, 202637174.6B
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Sep 26, 202632251.6B
Sep 27, 202632568.2B
Sep 28, 202640675.8B
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Sep 30, 202637053.2B
Oct 1, 202635462.3B
Oct 2, 202635071.1B
Oct 3, 202630551.7B
Oct 4, 202629253B
Oct 5, 202630646.3B
Oct 6, 202630649.5B
Oct 7, 202629655.9B
Oct 8, 202631349.1B
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Oct 10, 202625946.5B
Oct 11, 202626449.6B
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Oct 23, 202628355.2B
Oct 24, 202622451.9B
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Oct 27, 202627149.5B
Oct 28, 202626752B
Oct 29, 202625257.8B
Oct 30, 202623240.2B
Oct 31, 202618128.1B
Nov 1, 202617225.9B
Nov 2, 202619538.3B
Nov 3, 202621348.7B
Nov 4, 202620533.1B
Nov 5, 202619834.1B
Nov 6, 202617024.9B
Nov 7, 202614715.3B
Nov 8, 202612917.7B
Nov 9, 202616621.4B
Nov 10, 202613217B
Nov 11, 202610512.3B
Nov 12, 2026463.2B

Token mix

How the 4.5T tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input3.6%
  • Output0.2%
  • Cache read96%
  • Cache write<0.1%
  • Reasoning0.1%

Agents that carry GPT-6 Astra

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

  1. Codex CLI83% of this model's tokens861active users
  2. Senpi (OmO Native)4.3% of this model's tokens64active users
  3. Oh My Pi3.3% of this model's tokens97active users
  4. Pi2.4% of this model's tokens108active users
  5. Gajae Code2.3% of this model's tokens31active users
  6. Claude Code1.5% of this model's tokens46active users
  7. OpenCode1.1% of this model's tokens76active users
  8. Hermes Agent0.6% of this model's tokens70active users
  9. Prime Agent0.5% of this model's tokens7active users
  10. OpenClaw0.4% of this model's tokens14active users
  11. Droid0.2% of this model's tokens6active users
  12. Copilot0.2% of this model's tokens5active users
  13. Aside0.2% of this model's tokens34active users
  14. Synthetic<0.1% of this model's tokens1active users
  15. Junie<0.1% of this model's tokens2active users
  16. Cline<0.1% of this model's tokens4active users
  17. ZCode<0.1% of this model's tokens8active users
  18. DeepSeek Harness<0.1% of this model's tokens12active users
  19. Grok Build<0.1% of this model's tokens3active users
  20. WorkBuddy<0.1% of this model's tokens5active users
  21. Fx<0.1% of this model's tokens2active users
  22. Reasonix<0.1% of this model's tokens1active users
  23. 9Router<0.1% of this model's tokens1active users
  24. Cursor<0.1% of this model's tokens2active users
  25. Amp<0.1% of this model's tokens2active users
  26. CodeBuddy<0.1% of this model's tokens1active users
  27. Command Code<0.1% of this model's tokens2active users
  28. Jcode<0.1% of this model's tokens1active users
  29. Kimi<0.1% of this model's tokens1active users
  30. Cherry Studio<0.1% of this model's tokens3active users
  31. Goose<0.1% of this model's tokens1active users
  32. cc-mirror/curl<0.1% of this model's tokens1active users
  33. cc-mirror/mozilla<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-6 Astra 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. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    169.0
    Rank #3 of 158 matched modelsNo conditions reportedModel released Sep 3, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    60.3%
    Rank #4 of 23 matched modelsMax · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Codex CLI carried 83% of GPT-6 Astra tokens across all time (861 active users).

    Show 4 more results with other run conditionsHide the other results
    • Listed as GPT-6 Astra
      60.0%
      High · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as GPT-6 Astra
      59.7%
      XHigh · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as GPT-6 Astra
      55.1%
      Medium · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as GPT-6 Astra
      50.9%
      Low · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    74.1%
    Rank #1 of 26 matched modelsXHigh · mini-swe-agentModel released Sep 3, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as gpt-6-astra (high)
      73.2%
      High · mini-swe-agentModel released Sep 3, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-6-astra (max)
      73.2%
      Max · mini-swe-agentModel released Sep 3, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-6-astra (medium)
      72.8%
      Medium · mini-swe-agentModel released Sep 3, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-6-astra (low)
      67.0%
      Low · mini-swe-agentModel released Sep 3, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    65.5%
    Rank #2 of 23 matched modelsMax · proximusModel released Sep 3, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,774
    Rank #2 of 110 matched modelsMaxPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.15
    Rank #2 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    95.8%
    Rank #3 of 160 matched modelsMaxRun date Aug 30, 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.

  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    54.8%
    Rank #1 of 40 matched modelsNo conditions reportedModel released Sep 3, 2026Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    93.7%
    Rank #3 of 90 matched modelsMaxRun date Aug 30, 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
    75.6%
    Rank #4 of 86 matched modelsMaxRun date Aug 30, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: CursorBench. 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
$1.51
Est. per 1M tokens
96% cache reads
At the community mix
$1.91
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$20
Per 1M tokens at list prices
No cache

Cache reads were 96% of GPT-6 Astra tokens across all time and 93% 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 $10, output $50, cache read $1, cache write $12.50.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • 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-astra
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1.05M tokens of context
  • Amazon Bedrockopenai.gpt-6-astra
    $11 input per 1M tokens$55 output per 1M tokens$1.10 cache read per 1M tokens$13.75 cache write per 1M tokens1.05M tokens of context
  • Azuregpt-6-astra
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1.05M tokens of context
  • OpenRouteropenai/gpt-6-astra
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewayopenai/gpt-6-astra
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 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
Apr 30, 2026
Release date
Sep 4, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-6 Astra most in this period, by tokens. Hidden accounts are never listed.

  1. 1Vincent Koc@vincentkoc691.6Btokens$1.1Mest. cost67active days$1.1M est. cost · 67 active days
  2. 2Jeff Emanuel@Dicklesworthstone214.2Btokens$290.9Kest. cost53active days$290.9K est. cost · 53 active days
  3. 3ben@0thernet62.9Btokens$83.6Kest. cost41active days$83.6K est. cost · 41 active days
  4. 4SEUNGWOO LEE@lifrary56Btokens$81.6Kest. cost34active days$81.6K est. cost · 34 active days
  5. 5Will Mitchell@StartupBros54.1Btokens$42.5Kest. cost55active days$42.5K est. cost · 55 active days
  6. 6sudolabel@pseudolabel46.6Btokens$65.4Kest. cost65active days$65.4K est. cost · 65 active days
  7. 7kimchanhyung98@kimchanhyung9846.5Btokens$71.3Kest. cost67active days$71.3K est. cost · 67 active days
  8. 8teatimedev@teatimedev44.4Btokens$90Kest. cost25active days$90K est. cost · 25 active days
  9. 9kaptinlin@kaptinlin43.7Btokens$68.8Kest. cost60active days$68.8K est. cost · 60 active days
  10. 10WONGIL@realitsyourman43.6Btokens$66.8Kest. cost49active days$66.8K est. cost · 49 active days

More from OpenAI

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

  1. GPT-5.565% adoption1,585active users
  2. GPT-5.462% adoption1,528active users
  3. GPT-5.3 Codex54% adoption1,334active users
  4. GPT-5.6 Sol51% adoption1,260active users
  5. GPT-5.6 Terra45% adoption1,105active users
  6. GPT-5.6 Luna44% adoption1,078active 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.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • Terminal-BenchTerminal-Bench 4.1 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Nov 12, 2026 · Data through Nov 11, 2026Terminal-Bench 4.1 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • 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