Claude Sonnet 5.5

AnthropicKey claude-sonnet-5-5Also reported as anthropic/claude-sonnet-5-5, cc/claude-sonnet-5-5, router_client:claude/claude-sonnet-5-5, claude/claude-sonnet-5-5, api/claude-sonnet-5-5, cursor/claude-sonnet-5-5, sub-bridge/claude-sonnet-5-5, kiro/claude-sonnet-5-5, dario/claude-sonnet-5-5, workbuddy/claude-sonnet-5-5, teamclaude/claude-sonnet-5-5, google-antigravity/claude-sonnet-5-5, auto/claude-sonnet-5-5, copilot/claude-sonnet-5-5, my anthropic sub/claude-sonnet-5-5, router_client:unknown/claude-sonnet-5-5, zed/claude-sonnet-5-5, gh/claude-sonnet-5-5, combo/claude-sonnet-5-5, meridian/claude-sonnet-5-5

Rank
#4
by active users
Active users
557
Up 55 from 502 active users in the previous 30 days. vs previous 30 days
Adoption
58%
of 961 accounts
Tokens
1.1T
cache included
Est. cost
$230.5K
at public list prices
First seen
Sep 16, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)961 accounts100% of tokens from an identified modelData through Nov 12, 2026, 06:36 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

40 active users on Nov 12, 2026

Daily active users for Claude Sonnet 5.5, Oct 14, 2026 to Nov 12, 2026. Peak 236. Use the left and right arrow keys to read each day.2501250
Show daily values
Daily active users and tokens for Claude Sonnet 5.5
Date (UTC)Active usersTokens
Oct 14, 202623666.9B
Oct 15, 202623044.3B
Oct 16, 202621339.2B
Oct 17, 202617737.5B
Oct 18, 202617933.5B
Oct 19, 202621942.5B
Oct 20, 202622143.4B
Oct 21, 202622341.1B
Oct 22, 202621740.4B
Oct 23, 202620042.6B
Oct 24, 202615838.5B
Oct 25, 202615927.3B
Oct 26, 202620834.1B
Oct 27, 202621530.7B
Oct 28, 202621944.1B
Oct 29, 202621243.9B
Oct 30, 202620138.2B
Oct 31, 202617131.5B
Nov 1, 202614429.5B
Nov 2, 202620239.3B
Nov 3, 202620038.5B
Nov 4, 202620038.3B
Nov 5, 202618436.6B
Nov 6, 202616935.4B
Nov 7, 202613922.6B
Nov 8, 202612121.9B
Nov 9, 202615429.3B
Nov 10, 202614931.8B
Nov 11, 202612028.6B
Nov 12, 2026404.4B

Token mix

How the 1.1T tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input0.5%
  • Output0.4%
  • Cache read96%
  • Cache write2.7%
  • Reasoning<0.1%

Agents that carry Claude Sonnet 5.5

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

  1. Claude Code76% of this model's tokens501active users
  2. Oh My Pi17% of this model's tokens33active users
  3. Pi3.6% of this model's tokens16active users
  4. Senpi (OmO Native)2.4% of this model's tokens32active users
  5. Synthetic0.3% of this model's tokens1active users
  6. OpenCode0.2% of this model's tokens20active users
  7. Hermes Agent0.1% of this model's tokens16active users
  8. Gajae Code<0.1% of this model's tokens2active users
  9. Aside<0.1% of this model's tokens15active users
  10. Copilot<0.1% of this model's tokens4active users
  11. Reasonix<0.1% of this model's tokens1active users
  12. Antigravity CLI<0.1% of this model's tokens18active users
  13. Codex CLI<0.1% of this model's tokens9active users
  14. DeepSeek Harness<0.1% of this model's tokens3active users
  15. ZCode<0.1% of this model's tokens1active users
  16. Droid<0.1% of this model's tokens1active users
  17. Goose<0.1% of this model's tokens1active users
  18. Antigravity<0.1% of this model's tokens5active users
  19. Junie<0.1% of this model's tokens2active users
  20. Antigravity IDE Extension<0.1% of this model's tokens7active users
  21. WorkBuddy<0.1% of this model's tokens1active users
  22. Cline<0.1% of this model's tokens2active users
  23. Zed Agent<0.1% of this model's tokens1active users
  24. Kiro<0.1% of this model's tokens2active users
  25. Cherry Studio<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Sonnet 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
    166.6
    Rank #8 of 158 matched modelsNo conditions reportedModel released Sep 28, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    63.9%
    Rank #2 of 23 matched modelsMax · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 76% of Claude Sonnet 5.5 tokens in the last 30 days (501 active users).

  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    55.5%
    Rank #4 of 21 matched modelsMaxModel released Sep 28, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as Sonnet 5.5 Extra High
      53.1%
      XHighModel released Sep 28, 2026Source: cursor.com (opens in a new tab)
    • Listed as Sonnet 5.5 High
      47.8%
      HighModel released Sep 28, 2026Source: cursor.com (opens in a new tab)
    • Listed as Sonnet 5.5 Medium
      39.2%
      MediumModel released Sep 28, 2026Source: cursor.com (opens in a new tab)
    • Listed as Sonnet 5.5 Low
      35.8%
      LowModel released Sep 28, 2026Source: cursor.com (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    61.9%
    Rank #4 of 23 matched modelsMax · proximusModel released Sep 28, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,768
    Rank #3 of 110 matched modelsXHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as Claude Sonnet 5.5 (High)
      1,710
      HighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.13
    Rank #5 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    95.6%
    Rank #4 of 160 matched modelsMaxRun date Sep 29, 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
    46.1%
    Rank #4 of 40 matched modelsXHighModel released Sep 28, 2026Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    88.8%
    Rank #10 of 90 matched modelsMaxRun date Sep 29, 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
    46.5%
    Rank #40 of 86 matched modelsMaxRun date Sep 29, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: DeepSWE. 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. Anthropic 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
$0.21
Est. per 1M tokens
96% cache reads
At the community mix
$0.21
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$4
Per 1M tokens at list prices
No cache

Cache reads were 96% of Claude Sonnet 5.5 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

  • Anthropic list prices per 1M tokens: input $2, output $10, cache read $0.10, cache write $2.50.
  • 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

  • AnthropicReferenceclaude-sonnet-5-5
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-sonnet-5-5
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
  • Vertexclaude-sonnet-5-5@default
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-sonnet-5-5@default
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
  • Azureclaude-sonnet-5-5
    $2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-sonnet-5.5
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-sonnet-5.5
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$2.50 cache write per 1M tokens1M 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
1M tokens
Max output
128K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Jun 2026
Release date
Sep 28, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1Jeff Emanuel@Dicklesworthstone76.1Btokens$11.4Kest. cost17active days$11.4K est. cost · 17 active days
  2. 2Yoonjae@AngryJay9164.1Btokens$9.1Kest. cost27active days$9.1K est. cost · 27 active days
  3. 3Brad Lishman@bradlishman45.2Btokens$7.9Kest. cost24active days$7.9K est. cost · 24 active days
  4. 4SeungwanJo@joswlv38.6Btokens$7.4Kest. cost26active days$7.4K est. cost · 26 active days
  5. 5LJM@lee98www36.6Btokens$7.4Kest. cost30active days$7.4K est. cost · 30 active days
  6. 6Koala@koalaauto34.7Btokens$5.7Kest. cost25active days$5.7K est. cost · 25 active days
  7. 7registered2nd@registered2nd33.7Btokens$8.4Kest. cost26active days$8.4K est. cost · 26 active days
  8. 8Journey Hwang@journeyWorker32.3Btokens$5.6Kest. cost29active days$5.6K est. cost · 29 active days
  9. 9cairnskald@cairnskald20.2Btokens$6.2Kest. cost29active days$6.2K est. cost · 29 active days
  10. 10larrabee@larrabee-kor19.8Btokens$183est. cost24active days$183 est. cost · 24 active days

More from Anthropic

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

  1. Claude Opus 5.574% adoption713active users
  2. Claude Haiku 5.550% adoption479active users
  3. Claude Fable 5.138% adoption362active users
  4. Claude Opus 4.823% adoption222active users
  5. Claude Fable 5.220% adoption191active users
  6. Claude Opus 517% adoption164active 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