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
- #3
- by active users
- Active users
- 277
- Down 72 from 349 active users in the previous 7 days. vs previous 7 days
- Adoption
- 45%
- of 610 accounts
- Tokens
- 180B
- cache included
- Est. cost
- $39.5K
- at public list prices
- First seen
- Sep 16, 2026
- in any submission
Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:13 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
50 active users on Nov 12, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 6, 2026 | 172 | 36.1B |
| Nov 7, 2026 | 140 | 22.7B |
| Nov 8, 2026 | 121 | 21.9B |
| Nov 9, 2026 | 157 | 30.2B |
| Nov 10, 2026 | 152 | 32.6B |
| Nov 11, 2026 | 125 | 29.8B |
| Nov 12, 2026 | 50 | 6.7B |
Token mix
How the 180B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input1.0%
- Output0.4%
- Cache read96%
- Cache write2.5%
- 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.
Claude Code60% of this model's tokens251active users
Oh My Pi32% of this model's tokens19active users
Pi3.6% of this model's tokens5active users
Senpi (OmO Native)3.2% of this model's tokens15active users
Synthetic0.5% of this model's tokens1active users
Reasonix0.2% of this model's tokens1active users
OpenCode0.1% of this model's tokens5active users
Gajae Code0.1% of this model's tokens2active users
Aside<0.1% of this model's tokens5active users
ZCode<0.1% of this model's tokens1active users
Junie<0.1% of this model's tokens1active users
DeepSeek Harness<0.1% of this model's tokens1active users
Antigravity CLI<0.1% of this model's tokens2active users
Codex CLI<0.1% of this model's tokens3active users
Hermes Agent<0.1% of this model's tokens4active users
Kiro<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.
- Epoch Capabilities IndexOverall · Epoch AI166.6
Epoch Capabilities Index: 166.6
- Model
- Claude Sonnet 5.5
- Listed as
- Claude Sonnet 5.5
- Conditions
- Not reported
- Interval
- 163.8–169.6
- Unit
- ECI
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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-Bench63.9%
Terminal-Bench 4.1: 63.9%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5
- Conditions
- Max · Claude Code
- Interval
- 60.9–66.9%
- Unit
- % resolved
- Published
- Nov 3, 2026
- Retrieved
- Nov 12, 2026
Source · Terminal-Bench 4.1 official leaderboard, tbench.ai
Rank #2 of 23 matched modelsMax · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
Tokscale usage: Claude Code carried 60% of Claude Sonnet 5.5 tokens in the last 7 days (251 active users). - CursorBenchAgentic coding · Cursor, collected by Epoch AI55.5%
CursorBench: 55.5%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 Max
- Conditions
- Max
- Unit
- score
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Best of 5 reported results for this model.
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Show 4 more results with other run conditionsHide the other results
- Listed as Sonnet 5.5 Extra High53.1%
CursorBench: 53.1%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 Extra High
- Conditions
- XHigh
- Unit
- score
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5.5 High47.8%
CursorBench: 47.8%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 High
- Conditions
- High
- Unit
- score
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5.5 Medium39.2%
CursorBench: 39.2%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 Medium
- Conditions
- Medium
- Unit
- score
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5.5 Low35.8%
CursorBench: 35.8%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 Low
- Conditions
- Low
- Unit
- score
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI61.9%
FrontierSWE: 61.9%
- Model
- Claude Sonnet 5.5
- Listed as
- Claude Sonnet 5.5
- Conditions
- Max · proximus
- Unit
- mean@5
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · FrontierSWE results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #4 of 23 matched modelsMax · proximusModel released Sep 28, 2026Source: frontierswe.com (opens in a new tab) - WebDev ArenaWeb development · LMArena1,768
WebDev Arena: 1,768
- Model
- Claude Sonnet 5.5
- Listed as
- Claude Sonnet 5.5 (xHigh)
- Conditions
- XHigh
- Interval
- 1756–1781
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Best of 2 reported results for this model.
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Show 1 more result with other run conditionsHide the other results
- Listed as Claude Sonnet 5.5 (High)1,710
WebDev Arena: 1,710
- Model
- Claude Sonnet 5.5
- Listed as
- Claude Sonnet 5.5 (High)
- Conditions
- High
- Interval
- 1700–1720
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
- Agent ArenaAgents · LMArena+0.13
Agent Arena: +0.13
- Model
- Claude Sonnet 5.5
- Listed as
- Claude Sonnet 5.5 (Max)
- Conditions
- Max · Arena Agent Mode
- Interval
- 0.10 to 0.16
- Unit
- net improvement
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Rank #5 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI95.6%
GPQA Diamond: 95.6%
- Model
- Claude Sonnet 5.5
- Listed as
- claude-sonnet-5-5_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Sep 29, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI46.1%
Humanity's Last Exam: 46.1%
- Model
- Claude Sonnet 5.5
- Listed as
- Sonnet 5.5 (xhigh)
- Conditions
- XHigh
- Unit
- % correct
- Model released
- Sep 28, 2026
- Retrieved
- Nov 12, 2026
Source · Humanity's Last Exam results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #4 of 40 matched modelsXHighModel released Sep 28, 2026Source: lastexam.ai (opens in a new tab) - FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI88.8%
FrontierMath Tiers 1–3 (v2): 88.8%
- Model
- Claude Sonnet 5.5
- Listed as
- claude-sonnet-5-5_max
- Conditions
- Max
- Unit
- % solved
- Run date
- Sep 29, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI46.5%
SimpleQA Verified: 46.5%
- Model
- Claude Sonnet 5.5
- Listed as
- claude-sonnet-5-5_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Sep 29, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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
- $0.22
- 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 7 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 7 days.
- The community mix is the tokens of every identified model in the last 7 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
- AnthropicReference
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 - Amazon Bedrock
anthropic.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 - Vertex
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 - 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
- Azure
claude-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 - OpenRouter
anthropic/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 Gateway
anthropic/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
SeungwanJo@joswlv21.9Btokens$4.2Kest. cost6active days$4.2K est. cost · 6 active days
- 2
Yoonjae@AngryJay9117.5Btokens$2.4Kest. cost7active days$2.4K est. cost · 7 active days
- 3
registered2nd@registered2nd12.5Btokens$3.1Kest. cost6active days$3.1K est. cost · 6 active days
- 4
Brad Lishman@bradlishman10.3Btokens$1.9Kest. cost6active days$1.9K est. cost · 6 active days
- 5
Darren@buddman12087.2Btokens$1.3Kest. cost7active days$1.3K est. cost · 7 active days
- 6
LJM@lee98www5.7Btokens$758est. cost7active days$758 est. cost · 7 active days
- 7
Koala@koalaauto5Btokens$900est. cost5active days$900 est. cost · 5 active days
- 8
Anagh Kumar Baranwal@darthShadow4.6Btokens$1Kest. cost6active days$1K est. cost · 6 active days
- 9
Journey Hwang@journeyWorker4.3Btokens$751est. cost6active days$751 est. cost · 6 active days
- 10
cairnskald@cairnskald4.1Btokens$1Kest. cost6active days$1K est. cost · 6 active days
More from Anthropic
Other Anthropic models in the same period, by active users.
- Claude Opus 5.571% adoption434active users
- Claude Haiku 5.541% adoption249active users
- Claude Fable 5.232% adoption197active users
- Claude Fable 5.125% adoption154active users
- Claude Opus 58.2% adoption50active users
- Claude Opus 4.87.7% adoption47active users
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.