GPT-5.5

OpenAIKey gpt-5.5Also reported as router_client:codex/gpt-5.5, cx/gpt-5.5, router_client:unknown/gpt-5.5, openai/gpt-5.5, azure/gpt-5.5, hapuppy/gpt-5.5, kuro/gpt-5.5, codex/gpt-5.5, vibeproxy/gpt-5.5, zhen/gpt-5.5, combo/deep/gpt-5.5, cliproxy/gpt-5.5, csgpu/csu/pro/gpt-5.5, combo/ultrabrain/gpt-5.5, openai codex/gpt-5.5, combo/ruthless-reviewer/gpt-5.5, combo/architecture-consultant/gpt-5.5, openai-codex/gpt-5.5, shopai/gpt-5.5, eco/gpt-5.5

No usage of GPT-5.5 in the last 7 days. Showing all time instead.

Rank
#2
by active users
Active users
1,585
All time
Adoption
65%
of 2,457 accounts
Tokens
10.2T
cache included
Est. cost
$22.3M
at public list prices
First seen
Dec 31, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:00 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for GPT-5.5, Oct 10, 2024 to Nov 12, 2026. Peak 746. Use the left and right arrow keys to read each day.8004000
Show daily values
Daily active users and tokens for GPT-5.5
Date (UTC)Active usersTokens
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Dec 31, 20251113K
Jan 1, 2026114.2M
Jan 2, 2026117M
Jan 3, 2026141.5M
Jan 4, 2026132.4M
Jan 5, 2026113.1M
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Jan 24, 2026141.1M
Jan 25, 2026137.6M
Jan 26, 2026112.5M
Jan 27, 2026113.7M
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Jan 29, 2026114.4M
Jan 30, 2026114.2M
Jan 31, 2026139.2M
Feb 1, 2026132.3M
Feb 2, 2026114.5M
Feb 3, 2026112.8M
Feb 4, 2026111.2M
Feb 5, 2026112M
Feb 6, 2026117.5M
Feb 7, 2026142M
Feb 8, 2026136.8M
Feb 9, 2026113M
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Feb 14, 2026134M
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Feb 20, 2026115.2M
Feb 21, 2026136.3M
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Feb 23, 2026114.9M
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Feb 25, 2026115M
Feb 26, 2026237.9M
Feb 27, 2026117.1M
Feb 28, 2026140.8M
Mar 1, 2026141.6M
Mar 2, 2026111.5M
Mar 3, 2026113.3M
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Mar 6, 2026237.3M
Mar 7, 2026135.9M
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Mar 25, 2026112M
Mar 26, 2026114.9M
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Mar 29, 2026140.9M
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Apr 1, 2026111.3M
Apr 2, 2026113M
Apr 3, 2026115.2M
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Apr 22, 202610186.8M
Apr 23, 202610110.7B
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Sep 9, 2026541.6B
Sep 10, 2026681.1B
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Sep 14, 2026581.7B
Sep 15, 2026621.3B
Sep 16, 2026451.3B
Sep 17, 202632962.5M
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Sep 19, 202627434.4M
Sep 20, 202629792.9M
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Sep 23, 202633941M
Sep 24, 202627478.6M
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Sep 27, 202623357.4M
Sep 28, 202629688.2M
Sep 29, 202626814.2M
Sep 30, 202632870.5M
Oct 1, 202625630.2M
Oct 2, 202628467.9M
Oct 3, 202623389M
Oct 4, 202623658.3M
Oct 5, 202621601.2M
Oct 6, 202624554.3M
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Oct 9, 202618391.2M
Oct 10, 202624573M
Oct 11, 202619153.3M
Oct 12, 202627304.2M
Oct 13, 2026221.1B
Oct 14, 202626488.2M
Oct 15, 20262483K
Oct 16, 202600
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Oct 30, 202611.5M
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Nov 2, 20261703K
Nov 3, 2026190.4M
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Token mix

How the 10.2T tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input6.2%
  • Output0.4%
  • Cache read93%
  • Cache write<0.1%
  • Reasoning0.1%

Agents that carry GPT-5.5

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 tokens1,470active users
  2. OpenCode3.7% of this model's tokens382active users
  3. Pi2.1% of this model's tokens222active users
  4. Hermes Agent1.8% of this model's tokens274active users
  5. Gajae Code1.2% of this model's tokens70active users
  6. OpenClaw0.9% of this model's tokens75active users
  7. Claude Code0.4% of this model's tokens81active users
  8. Oh My Pi0.3% of this model's tokens59active users
  9. Synthetic0.1% of this model's tokens1active users
  10. Senpi (OmO Native)<0.1% of this model's tokens27active users
  11. Cline<0.1% of this model's tokens4active users
  12. Copilot<0.1% of this model's tokens14active users
  13. Jcode<0.1% of this model's tokens8active users
  14. Aside<0.1% of this model's tokens18active users
  15. Mux<0.1% of this model's tokens1active users
  16. DeepSeek Harness<0.1% of this model's tokens2active users
  17. ZCode<0.1% of this model's tokens4active users
  18. WorkBuddy<0.1% of this model's tokens5active users
  19. Grok Build<0.1% of this model's tokens2active users
  20. Kilo<0.1% of this model's tokens7active users
  21. MiMo Code<0.1% of this model's tokens2active users
  22. Roo Code<0.1% of this model's tokens3active users
  23. Kimi<0.1% of this model's tokens2active users
  24. Qwen<0.1% of this model's tokens2active users
  25. Zed Agent<0.1% of this model's tokens12active users
  26. Junie<0.1% of this model's tokens4active users
  27. Cursor<0.1% of this model's tokens1active users
  28. Prime Agent<0.1% of this model's tokens5active users
  29. Goose<0.1% of this model's tokens3active users
  30. CodeBuddy<0.1% of this model's tokens2active users
  31. 9Router<0.1% of this model's tokens1active users
  32. Cherry Studio<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5.5 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
    160.1
    Rank #20 of 158 matched modelsNo conditions reportedModel released Apr 23, 2026Source: epoch.ai (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    67.0%
    Rank #11 of 26 matched modelsXHigh · mini-swe-agentModel released Apr 23, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 3 more results with other run conditionsHide the other results
    • Listed as gpt-5-5 (high)
      64.4%
      High · mini-swe-agentModel released Apr 23, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-5 (medium)
      54.0%
      Medium · mini-swe-agentModel released Apr 23, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-5 (low)
      27.0%
      Low · mini-swe-agentModel released Apr 23, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,513
    Rank #50 of 110 matched modelsXHigh · CodexPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

    Tokscale usage: Codex CLI carried 89% of GPT-5.5 tokens across all time (1,470 active users).

    Show 2 more results with other run conditionsHide the other results
    • Listed as GPT-5.5 (High, Codex Harness)
      1,487
      High · CodexPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
    • Listed as GPT-5.5 (Codex Harness)
      1,456
      CodexPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.03
    Rank #17 of 48 matched modelsXHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as GPT-5.5
      −0.00
      Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    94.0%
    Rank #15 of 160 matched modelsXHighRun date Apr 24, 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.

    Show 2 more results with other run conditionsHide the other results
    • Listed as gpt-5.5_low
      90.7%
      LowRun date May 5, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.5_none
      77.3%
      No reasoningRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    85.3%
    Rank #16 of 90 matched modelsXHighRun date Jun 11, 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
    63.0%
    Rank #16 of 86 matched modelsXHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    80.6%
    Rank #2 of 32 matched modelsXHighRun date Apr 24, 2026Source: epoch.ai (opens in a new tab)

    History only. Newer agentic coding benchmarks are on the main board.

Not evaluated: Humanity's Last Exam, Terminal-Bench 4.1, CursorBench, FrontierSWE. 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
$0.91
Est. per 1M tokens
93% cache reads
At the community mix
$0.97
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$11.25
Per 1M tokens at list prices
No cache

Cache reads were 93% of GPT-5.5 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 $5, output $30, cache read $0.50.
  • 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.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • OpenAIReferencegpt-5.5
    $5 input per 1M tokens$30 output per 1M tokens$0.50 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Amazon Bedrockopenai.gpt-5.5
    $5.50 input per 1M tokens$33 output per 1M tokens$0.55 cache read per 1M tokensCache write not listed1M tokens of context
  • Azuregpt-5.5
    $5 input per 1M tokens$30 output per 1M tokens$0.50 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRouteropenai/gpt-5.5
    $5 input per 1M tokens$30 output per 1M tokens$0.50 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewayopenai/gpt-5.5
    $5 input per 1M tokens$30 output per 1M tokens$0.50 cache read per 1M tokensCache write not listed1M 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
Dec 1, 2025
Release date
Apr 23, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-5.5 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Jeff Emanuel@Dicklesworthstone418.3Btokens$295.1Kest. cost85active days$295.1K est. cost · 85 active days
  2. 2Daniil Sedov@Gusarich387.2Btokens$311.8Kest. cost115active days$311.8K est. cost · 115 active days
  3. 3weiyangzen@weiyangzen339.8Btokens$413.9Kest. cost84active days$413.9K est. cost · 84 active days
  4. 4Maple Gao@MapleEve299.9Btokens$243.1Kest. cost77active days$243.1K est. cost · 77 active days
  5. 5Ólafur Nils Sigurðsson@olafurns7252.1Btokens$192.6Kest. cost77active days$192.6K est. cost · 77 active days
  6. 6Feng GAO@gaofeng21cn186.2Btokens$180Kest. cost89active days$180K est. cost · 89 active days
  7. 7YeonGyu-Kim@code-yeongyu167.9Btokens$149.9Kest. cost88active days$149.9K est. cost · 88 active days
  8. 8Vincent Koc@vincentkoc157.3Btokens$111.6Kest. cost105active days$111.6K est. cost · 105 active days
  9. 9kaptinlin@kaptinlin151.9Btokens$122.4Kest. cost56active days$122.4K est. cost · 56 active days
  10. 10Ramiro@ramarivera150.9Btokens$114.8Kest. cost41active days$114.8K est. cost · 41 active days

More from OpenAI

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

  1. GPT-5.462% adoption1,528active users
  2. GPT-5.3 Codex54% adoption1,334active users
  3. GPT-5.6 Sol51% adoption1,260active users
  4. GPT-5.6 Terra45% adoption1,105active users
  5. GPT-5.6 Luna44% adoption1,078active users
  6. GPT-5.4 Mini42% adoption1,039active 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.
  • 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