Claude Haiku 5.5

AnthropicKey claude-haiku-5-5Also reported as cc/claude-haiku-5-5, api/claude-haiku-5-5, anthropic/claude-haiku-5-5, router_client:claude/claude-haiku-5-5, claude/claude-haiku-5-5, gh/claude-haiku-5-5, fbc/claude-haiku-5.5, ih/claude-haiku-5-5, router_client:unknown/claude-haiku-5-5, teamclaude/claude-haiku-5-5, dario/claude-haiku-5-5, sub2api-claude/claude-haiku-5-5, cursor/claude-haiku-5-5, my anthropic sub/claude-haiku-5-5, my anthropic sub native/claude-haiku-5-5, s6o/claude-haiku-5-5

Rank
#5
by active users
Active users
479
Up 231 from 248 active users in the previous 30 days. vs previous 30 days
Adoption
50%
of 961 accounts
Tokens
178.6B
cache included
Est. cost
$11.4K
at public list prices
First seen
Oct 7, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)961 accounts100% of tokens from an identified modelData through Nov 12, 2026, 06:58 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

25 active users on Nov 12, 2026

Daily active users for Claude Haiku 5.5, Oct 14, 2026 to Nov 12, 2026. Peak 143. Use the left and right arrow keys to read each day.150750
Show daily values
Daily active users and tokens for Claude Haiku 5.5
Date (UTC)Active usersTokens
Oct 14, 20261346.4B
Oct 15, 20261128.1B
Oct 16, 20261128.9B
Oct 17, 2026964.4B
Oct 18, 2026902.5B
Oct 19, 20261207.8B
Oct 20, 20261287.2B
Oct 21, 20261287.9B
Oct 22, 20261257.4B
Oct 23, 20261178.1B
Oct 24, 2026784B
Oct 25, 2026702.2B
Oct 26, 2026973.9B
Oct 27, 20261086.1B
Oct 28, 20261156.8B
Oct 29, 20261209.2B
Oct 30, 20261278.9B
Oct 31, 2026965.8B
Nov 1, 2026914.9B
Nov 2, 20261217.3B
Nov 3, 20261389.7B
Nov 4, 20261209.2B
Nov 5, 20261436.7B
Nov 6, 20261336.7B
Nov 7, 20261056B
Nov 8, 2026872B
Nov 9, 20261143.1B
Nov 10, 20261064B
Nov 11, 2026843.3B
Nov 12, 202625269.7M

Token mix

How the 178.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input0.1%
  • Output1.0%
  • Cache read94%
  • Cache write5.0%
  • Reasoning<0.1%

Agents that carry Claude Haiku 5.5

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

  1. Claude Code82% of this model's tokens442active users
  2. Oh My Pi15% of this model's tokens22active users
  3. Senpi (OmO Native)1.2% of this model's tokens25active users
  4. Pi1.1% of this model's tokens15active users
  5. OpenCode0.3% of this model's tokens18active users
  6. Aside0.1% of this model's tokens8active users
  7. Gajae Code0.1% of this model's tokens2active users
  8. Synthetic<0.1% of this model's tokens1active users
  9. Hermes Agent<0.1% of this model's tokens5active users
  10. Junie<0.1% of this model's tokens2active users
  11. DeepSeek Harness<0.1% of this model's tokens2active users
  12. WorkBuddy<0.1% of this model's tokens1active users
  13. Freebuff<0.1% of this model's tokens1active users
  14. Cherry Studio<0.1% of this model's tokens1active users
  15. Goose<0.1% of this model's tokens1active users
  16. ZCode<0.1% of this model's tokens1active users
  17. Zed Agent<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Haiku 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.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    160.4
    Rank #18 of 158 matched modelsNo conditions reportedModel released Oct 7, 2026Source: epoch.ai (opens in a new tab)
  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    48.4%
    Rank #8 of 21 matched modelsMaxModel released Oct 7, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as Haiku 5.5 Extra High
      44.3%
      XHighModel released Oct 7, 2026Source: cursor.com (opens in a new tab)
    • Listed as Haiku 5.5 High
      42.3%
      HighModel released Oct 7, 2026Source: cursor.com (opens in a new tab)
    • Listed as Haiku 5.5 Medium
      36.9%
      MediumModel released Oct 7, 2026Source: cursor.com (opens in a new tab)
    • Listed as Haiku 5.5 Low
      30.9%
      LowModel released Oct 7, 2026Source: cursor.com (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    43.8%
    Rank #10 of 23 matched modelsMax · proximusModel released Oct 7, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,586
    Rank #30 of 110 matched modelsHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.01
    Rank #25 of 48 matched modelsHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    89.6%
    Rank #50 of 160 matched modelsMaxRun date Oct 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.

  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    30.1%
    Rank #12 of 40 matched modelsNo conditions reportedModel released Oct 7, 2026Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    75.1%
    Rank #24 of 90 matched modelsMaxRun date Oct 7, 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
    23.8%
    Rank #72 of 86 matched modelsMaxRun date Oct 9, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Terminal-Bench 4.1, 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
$0.02
Est. per 1M tokens
94% cache reads
At the community mix
$0.02
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.20
Per 1M tokens at list prices
No cache

Cache reads were 94% of Claude Haiku 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 $0.10, output $0.50, cache read $0.01, cache write $0.13.
  • 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-haiku-5-5
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-haiku-5-5
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
  • Vertexclaude-haiku-5-5@default
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-haiku-5-5@default
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
  • Azureclaude-haiku-5-5
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-haiku-5.5
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-haiku-5.5
    $0.10 input per 1M tokens$0.50 output per 1M tokens$0.01 cache read per 1M tokens$0.13 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
Oct 7, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1Linh Doan@linhdmn32.8Btokens$1.4Kest. cost28active days$1.4K est. cost · 28 active days
  2. 2Shun Kakinoki@shunkakinoki25.6Btokens$1.4Kest. cost11active days$1.4K est. cost · 11 active days
  3. 3Noel Kim@nnnnoel25.6Btokens$2Kest. cost20active days$2K est. cost · 20 active days
  4. 4Sunghyun Cho@anaclumos11.4Btokens$910est. cost19active days$910 est. cost · 19 active days
  5. 5Sirawit Bongsuwan@srwbsw9.2Btokens$607est. cost21active days$607 est. cost · 21 active days
  6. 6twenim@twenim8.3Btokens$601est. cost20active days$601 est. cost · 20 active days
  7. 7Atothendrew@Atothendrew5.5Btokens$392est. cost13active days$392 est. cost · 13 active days
  8. 8SeonjunK@SeonjunK4.2Btokens$271est. cost5active days$271 est. cost · 5 active days
  9. 9Christopher Butler@techsaint3.5Btokens$388est. cost26active days$388 est. cost · 26 active days
  10. 10cairnskald@cairnskald3.4Btokens$347est. cost27active days$347 est. cost · 27 active days

More from Anthropic

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

  1. Claude Opus 5.574% adoption713active users
  2. Claude Sonnet 5.558% adoption558active users
  3. Claude Fable 5.138% adoption362active users
  4. Claude Opus 4.823% adoption222active users
  5. Claude Fable 5.220% adoption192active 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.
  • 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