GPT-5.6 Sol

OpenAIKey gpt-5.6-solAlso reported as router_client:codex/gpt-5.6-sol, codex/gpt-5.6-sol, cx/gpt-5.6-sol, openai/gpt-5.6-sol, chatgpt-web/gpt-5.6-sol, kiro/gpt-5.6-sol, openai codex/gpt-5.6-sol, azure-openai/gpt-5.6-sol, main/gpt-5.6-sol, cursor/gpt-5.6-sol, anthropic/codex/gpt-5.6-sol, eai/gpt/gpt-5.6-sol, azure-foundry/gpt-5.6-sol, gpt-5.6 sol, a6/gpt-5.6-sol, auto/gpt-5.6-sol, combo/gpt-5.6-sol, gpt/gpt-5.6-sol, router_client:unknown/gpt-5.6-sol, cbai/gpt-5.6-sol

Rank
#7
by active users
Active users
1,260
All time
Adoption
51%
of 2,457 accounts
Tokens
19.6T
cache included
Est. cost
$13.1M
at public list prices
First seen
Apr 14, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:09 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

9 active users on Nov 12, 2026

Daily active users for GPT-5.6 Sol, Oct 10, 2024 to Nov 12, 2026. Peak 713. Use the left and right arrow keys to read each day.8004000
Show daily values
Daily active users and tokens for GPT-5.6 Sol
Date (UTC)Active usersTokens
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Apr 14, 202611.2M
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Apr 20, 202613.4M
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May 19, 2026131.9K
May 20, 202619.2M
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May 22, 20262507K
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May 30, 20261578K
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Jun 5, 20261161K
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Jun 17, 2026243.1M
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Jun 29, 20263852.8M
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Jul 1, 202631.1B
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Nov 5, 2026313B
Nov 6, 2026332.2B
Nov 7, 2026253B
Nov 8, 2026261.6B
Nov 9, 202626734.3M
Nov 10, 2026201.1B
Nov 11, 2026201.6B
Nov 12, 2026963.9M

Token mix

How the 19.6T 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%
  • Reasoning<0.1%

Agents that carry GPT-5.6 Sol

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

  1. Codex CLI86% of this model's tokens1,156active users
  2. Pi3.5% of this model's tokens217active users
  3. Oh My Pi2.8% of this model's tokens133active users
  4. Gajae Code2.6% of this model's tokens81active users
  5. Senpi (OmO Native)1.7% of this model's tokens72active users
  6. OpenCode1.3% of this model's tokens206active users
  7. Hermes Agent1.1% of this model's tokens167active users
  8. Claude Code0.7% of this model's tokens101active users
  9. Prime Agent0.3% of this model's tokens25active users
  10. OpenClaw0.3% of this model's tokens34active users
  11. Synthetic<0.1% of this model's tokens1active users
  12. Aside<0.1% of this model's tokens35active users
  13. Cline<0.1% of this model's tokens5active users
  14. DeepSeek Harness<0.1% of this model's tokens13active users
  15. Copilot<0.1% of this model's tokens14active users
  16. Jcode<0.1% of this model's tokens5active users
  17. WorkBuddy<0.1% of this model's tokens5active users
  18. Qwen<0.1% of this model's tokens1active users
  19. Grok Build<0.1% of this model's tokens9active users
  20. Amp<0.1% of this model's tokens5active users
  21. Kiro<0.1% of this model's tokens15active users
  22. ZCode<0.1% of this model's tokens14active users
  23. Junie<0.1% of this model's tokens3active users
  24. OpenCodeReview<0.1% of this model's tokens1active users
  25. MiMo Code<0.1% of this model's tokens3active users
  26. Kilo<0.1% of this model's tokens3active users
  27. Zed Agent<0.1% of this model's tokens19active users
  28. Cursor<0.1% of this model's tokens1active users
  29. Fx<0.1% of this model's tokens2active users
  30. Goose<0.1% of this model's tokens1active users
  31. Kimi<0.1% of this model's tokens2active users
  32. cc-mirror/mozilla<0.1% of this model's tokens1active users
  33. cc-mirror/curl<0.1% of this model's tokens1active users
  34. 9Router<0.1% of this model's tokens1active users
  35. Cherry Studio<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5.6 Sol 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
    163.0
    Rank #13 of 158 matched modelsNo conditions reportedModel released Jul 9, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    38.5%
    Rank #11 of 23 matched modelsMax · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Codex CLI carried 86% of GPT-5.6 Sol tokens across all time (1,156 active users).

  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    41.7%
    Rank #13 of 21 matched modelsMaxModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as GPT-5.6 Sol Extra High
      37.7%
      XHighModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Sol High
      35.7%
      HighModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Sol Medium
      31.1%
      MediumModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Sol Low
      24.6%
      LowModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    72.7%
    Rank #4 of 26 matched modelsMax · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as gpt-5-6-sol (xhigh)
      70.7%
      XHigh · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-sol (high)
      69.4%
      High · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-sol (medium)
      61.1%
      Medium · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-sol (low)
      45.4%
      Low · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    32.2%
    Rank #11 of 23 matched modelsMax · proximusModel released Jul 9, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,616
    Rank #24 of 110 matched modelsXHigh · CodexPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

    Tokscale usage: Codex CLI carried 86% of GPT-5.6 Sol tokens across all time (1,156 active users).

  • Agent ArenaAgents · LMArena
    +0.07
    Rank #10 of 48 matched modelsXHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    93.5%
    Rank #19 of 160 matched modelsMaxRun date Jul 9, 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-5.6-sol_low
      89.9%
      LowRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.6-sol_none
      82.8%
      No reasoningRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    89.1%
    Rank #9 of 90 matched modelsMaxRun date Jul 9, 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
    69.7%
    Rank #11 of 86 matched modelsMaxRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam. 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
$0.59
Est. per 1M tokens
96% cache reads
At the community mix
$0.76
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$8
Per 1M tokens at list prices
No cache

Cache reads were 96% of GPT-5.6 Sol 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 $4, output $20, cache read $0.40, cache write $5.
  • 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-5.6-sol
    $4 input per 1M tokens$20 output per 1M tokens$0.40 cache read per 1M tokens$5 cache write per 1M tokens1.05M tokens of context
  • Amazon Bedrockopenai.gpt-5.6-sol
    $4.40 input per 1M tokens$22 output per 1M tokens$0.44 cache read per 1M tokens$5.50 cache write per 1M tokens1.05M tokens of context
  • Azuregpt-5.6-sol
    $4 input per 1M tokens$20 output per 1M tokens$0.40 cache read per 1M tokens$5 cache write per 1M tokens1.05M tokens of context
  • OpenRouteropenai/gpt-5.6-sol
    $4 input per 1M tokens$20 output per 1M tokens$0.40 cache read per 1M tokens$5 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewayopenai/gpt-5.6-sol
    $4 input per 1M tokens$20 output per 1M tokens$0.40 cache read per 1M tokens$5 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
Feb 16, 2026
Release date
Jul 9, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-5.6 Sol most in this period, by tokens. Hidden accounts are never listed.

  1. 1kaptinlin@kaptinlin1.1Ttokens$749.2Kest. cost81active days$749.2K est. cost · 81 active days
  2. 2조원준@netsus985Btokens$132.1Kest. cost66active days$132.1K est. cost · 66 active days
  3. 3HyeonJu Son@guswn2521847.1Btokens$95.2Kest. cost49active days$95.2K est. cost · 49 active days
  4. 4Jeff Emanuel@Dicklesworthstone668.3Btokens$353.3Kest. cost83active days$353.3K est. cost · 83 active days
  5. 5Vincent Koc@vincentkoc430.3Btokens$258.4Kest. cost90active days$258.4K est. cost · 90 active days
  6. 6kcyoow@kcyoow325.5Btokens$146.8Kest. cost57active days$146.8K est. cost · 57 active days
  7. 7weiyangzen@weiyangzen311.9Btokens$236.9Kest. cost55active days$236.9K est. cost · 55 active days
  8. 8ben@0thernet306.4Btokens$189.9Kest. cost67active days$189.9K est. cost · 67 active days
  9. 9YeonGyu-Kim@code-yeongyu202.6Btokens$199.3Kest. cost85active days$199.3K est. cost · 85 active days
  10. 10thestack_ai@TheStack-ai202.6Btokens$103.9Kest. cost56active days$103.9K est. cost · 56 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 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.
  • 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