Claude Haiku 4.5

AnthropicKey claude-haiku-4-5Also reported as claude-haiku-4-5-20251001, anthropic/claude-haiku-4-5, router_client:claude/claude-haiku-4-5-20251001, cc/claude-haiku-4-5, claude-haiku-4.5, claude haiku 4-5, geraikita/gk/claude-haiku-4-5, anthropic/claude-4-5-haiku, router_client:unknown/claude-haiku-4-5-20251001, github-copilot/claude-haiku-4-5, gh/claude-haiku-4-5, kr/claude-haiku-4-5, anthropic/claude-haiku-4.5, enowxai/claude-haiku-4-5, copilot/claude-haiku-4-5, claude/claude-haiku-4-5, devin/claude-haiku-4-5, openrouter/anthropic/claude-haiku-4-5, gk/claude-haiku-4-5, cliproxyapi/claude-haiku-4-5

Rank
#1
by active users
Active users
1,805
All time
Adoption
73%
of 2,457 accounts
Tokens
644.3B
cache included
Est. cost
$131.9K
at public list prices
First seen
Jan 2, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:19 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

2 active users on Nov 12, 2026

Daily active users for Claude Haiku 4.5, Oct 10, 2024 to Nov 12, 2026. Peak 369. Use the left and right arrow keys to read each day.4002000
Show daily values
Daily active users and tokens for Claude Haiku 4.5
Date (UTC)Active usersTokens
Oct 10, 202400
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Jan 1, 202500
Jan 2, 20251149K
Jan 3, 20251339K
Jan 4, 20251235K
Jan 5, 20251329K
Jan 6, 20251375K
Jan 7, 202500
Jan 8, 202500
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Jul 1, 202500
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Sep 30, 202500
Oct 1, 202500
Oct 2, 202500
Oct 3, 202500
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Oct 9, 202500
Oct 10, 202500
Oct 11, 202500
Oct 12, 202500
Oct 13, 202500
Oct 14, 202500
Oct 15, 202547.6M
Oct 16, 20251115.5M
Oct 17, 20251051.4M
Oct 18, 2025953M
Oct 19, 202566M
Oct 20, 2025734.8M
Oct 21, 2025920.2M
Oct 22, 20251143.4M
Oct 23, 2025941.8M
Oct 24, 2025711.6M
Oct 25, 2025518.4M
Oct 26, 2025727.2M
Oct 27, 2025830.6M
Oct 28, 20251161.6M
Oct 29, 2025106.5M
Oct 30, 20251019M
Oct 31, 20251132.9M
Nov 1, 202557.5M
Nov 2, 202573.1M
Nov 3, 20251529.8M
Nov 4, 20251143.8M
Nov 5, 20251434.4M
Nov 6, 20251313.4M
Nov 7, 20251212.6M
Nov 8, 2025934.9M
Nov 9, 202571.3M
Nov 10, 20252059.4M
Nov 11, 20251650M
Nov 12, 20251532.2M
Nov 13, 20251829.3M
Nov 14, 20251746.2M
Nov 15, 202562.7M
Nov 16, 202584.3M
Nov 17, 20252024.8M
Nov 18, 20251832.9M
Nov 19, 20252170.8M
Nov 20, 20252427.9M
Nov 21, 202519128.9M
Nov 22, 20258203.2M
Nov 23, 202513167M
Nov 24, 20252870.2M
Nov 25, 202528160.1M
Nov 26, 202528218.4M
Nov 27, 202525207.4M
Nov 28, 202526133.7M
Nov 29, 20251438.8M
Nov 30, 2025988.5M
Dec 1, 202529139.2M
Dec 2, 202530131.2M
Dec 3, 202531129.3M
Dec 4, 202530335.7M
Dec 5, 202538141.8M
Dec 6, 20252250M
Dec 7, 20253441.2M
Dec 8, 202545141.1M
Dec 9, 202544134.6M
Dec 10, 202553168M
Dec 11, 202553312M
Dec 12, 202553259M
Dec 13, 202543124.4M
Dec 14, 202539159.6M
Dec 15, 202558231.4M
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Dec 17, 202561246.3M
Dec 18, 202566299.1M
Dec 19, 202564258.6M
Dec 20, 202545103.5M
Dec 21, 202544181.8M
Dec 22, 202572216.7M
Dec 23, 202563543.5M
Dec 24, 202566203.4M
Dec 25, 202539175.1M
Dec 26, 202566370.9M
Dec 27, 202564243.9M
Dec 28, 202563428.1M
Dec 29, 202577248.2M
Dec 30, 202577395.6M
Dec 31, 202567159.8M
Jan 1, 202651105.7M
Jan 2, 202663252.9M
Jan 3, 20264895.3M
Jan 4, 202660223M
Jan 5, 202676370.6M
Jan 6, 202674195.5M
Jan 7, 202679153.1M
Jan 8, 202690367.3M
Jan 9, 2026246716.6M
Jan 10, 2026184484M
Jan 11, 2026183566.9M
Jan 12, 20262831.1B
Jan 13, 2026257857.4M
Jan 14, 20262351.1B
Jan 15, 2026235982.2M
Jan 16, 2026212938.2M
Jan 17, 2026155537.3M
Jan 18, 2026150582.2M
Jan 19, 20262341.1B
Jan 20, 20262281.1B
Jan 21, 20262311.3B
Jan 22, 20262301.1B
Jan 23, 20262261.4B
Jan 24, 2026164887.8M
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Jan 28, 20262811.9B
Jan 29, 20262842.1B
Jan 30, 20262682.1B
Jan 31, 20261891.2B
Feb 1, 20262091.6B
Feb 2, 20262882.1B
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Feb 4, 202628614.8B
Feb 5, 20263032.2B
Feb 6, 20263193B
Feb 7, 20262592.5B
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Feb 9, 202635020.6B
Feb 10, 20263672.8B
Feb 11, 20263492.9B
Feb 12, 20263513.1B
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Feb 14, 202622310.7B
Feb 15, 20262231.5B
Feb 16, 20262651.9B
Feb 17, 20262571.8B
Feb 18, 20262762.1B
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Feb 20, 20263082.9B
Feb 21, 202624824.4B
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Feb 25, 20263563.6B
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Feb 27, 202633817.3B
Feb 28, 20262612.5B
Mar 1, 20262522.7B
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Mar 3, 20263563.6B
Mar 4, 20263693.7B
Mar 5, 20263533.1B
Mar 6, 20263122.9B
Mar 7, 20262212.2B
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Mar 14, 202623422B
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Mar 25, 202626518.3B
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Mar 27, 20262602.7B
Mar 28, 20262042.4B
Mar 29, 20262062.6B
Mar 30, 20262723.4B
Mar 31, 20263052.8B
Apr 1, 20262902.6B
Apr 2, 202628317.1B
Apr 3, 20262522.2B
Apr 4, 20261941.7B
Apr 5, 20261881.7B
Apr 6, 20262802.3B
Apr 7, 20262862.5B
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Apr 10, 20262672.5B
Apr 11, 20261811B
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Apr 14, 20262671.8B
Apr 15, 20262642B
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Apr 18, 20261651B
Apr 19, 20261591B
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Apr 21, 20262351.4B
Apr 22, 20262391.8B
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Apr 24, 20262331.7B
Apr 25, 20261571.4B
Apr 26, 20261621.1B
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Apr 29, 20262131.7B
Apr 30, 20262051.5B
May 1, 20261491.1B
May 2, 20261271.1B
May 3, 2026124885.6M
May 4, 20261941.6B
May 5, 20261621.2B
May 6, 20262061.9B
May 7, 20262062.4B
May 8, 20262081.8B
May 9, 20261351.2B
May 10, 2026136938.5M
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May 12, 20262021.5B
May 13, 20261951.7B
May 14, 20262131.9B
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May 16, 20261401.6B
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May 20, 20262002.3B
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May 27, 20261892.1B
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May 30, 20261332.1B
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Jun 1, 20262375.3B
Jun 2, 20262374B
Jun 3, 20261933.2B
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Jun 6, 20261301.2B
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Jul 15, 2026119962.9M
Jul 16, 20261361.1B
Jul 17, 2026108793.1M
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Jul 19, 202683387M
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Jul 21, 2026117599.4M
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Aug 1, 202670474.1M
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Sep 5, 202655288.6M
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Sep 24, 2026871.3B
Sep 25, 202693700.9M
Sep 26, 202667393.5M
Sep 27, 202668597.8M
Sep 28, 2026103794.2M
Sep 29, 2026107706.3M
Sep 30, 202699391.5M
Oct 1, 2026109445.5M
Oct 2, 202686300.5M
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Oct 7, 202698557.3M
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Oct 14, 202637171.4M
Oct 15, 202629198.1M
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Oct 17, 20262023.2M
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Oct 19, 20262049.8M
Oct 20, 20261645.5M
Oct 21, 20262465.7M
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Oct 23, 202625180.8M
Oct 24, 202613282.8M
Oct 25, 202611459.7M
Oct 26, 202619355.1M
Oct 27, 202614231.4M
Oct 28, 202619222.9M
Oct 29, 202613444.3M
Oct 30, 202614275.9M
Oct 31, 202612162.7M
Nov 1, 202613163.5M
Nov 2, 202616121.7M
Nov 3, 202617147.4M
Nov 4, 202617351.3M
Nov 5, 202617436.7M
Nov 6, 202617542.3M
Nov 7, 202613418M
Nov 8, 202615373M
Nov 9, 202613343.7M
Nov 10, 202612285.4M
Nov 11, 202610103.3M
Nov 12, 202621.5M

Token mix

How the 644.3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.3%
  • Output0.5%
  • Cache read92%
  • Cache write6.1%
  • Reasoning<0.1%

Agents that carry Claude Haiku 4.5

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

  1. Claude Code91% of this model's tokens1,663active users
  2. OpenCode7.6% of this model's tokens372active users
  3. OpenClaw0.5% of this model's tokens19active users
  4. Oh My Pi0.4% of this model's tokens24active users
  5. Pi0.2% of this model's tokens65active users
  6. Senpi (OmO Native)0.1% of this model's tokens33active users
  7. Aside<0.1% of this model's tokens13active users
  8. Hermes Agent<0.1% of this model's tokens23active users
  9. Copilot<0.1% of this model's tokens154active users
  10. Amp<0.1% of this model's tokens58active users
  11. Synthetic<0.1% of this model's tokens1active users
  12. Droid<0.1% of this model's tokens14active users
  13. Augment Code<0.1% of this model's tokens3active users
  14. Gajae Code<0.1% of this model's tokens7active users
  15. Goose<0.1% of this model's tokens2active users
  16. Cline<0.1% of this model's tokens1active users
  17. cc-mirror/claudecc<0.1% of this model's tokens1active users
  18. MiMo Code<0.1% of this model's tokens9active users
  19. Prime Agent<0.1% of this model's tokens3active users
  20. Kilo<0.1% of this model's tokens1active users
  21. Zed Agent<0.1% of this model's tokens2active users
  22. Junie<0.1% of this model's tokens5active users
  23. Codex CLI<0.1% of this model's tokens7active users
  24. WorkBuddy<0.1% of this model's tokens1active users
  25. Kiro<0.1% of this model's tokens9active users
  26. Grok Build<0.1% of this model's tokens3active users
  27. Cherry Studio<0.1% of this model's tokens1active users
  28. cc-mirror/mclaude<0.1% of this model's tokens2active users
  29. Kimi<0.1% of this model's tokens1active users
  30. DeepSeek Harness<0.1% of this model's tokens1active users
  31. cc-mirror/mozilla<0.1% of this model's tokens1active users
  32. cc-mirror/curl<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Haiku 4.5 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
    142.8
    Rank #103 of 158 matched modelsNo conditions reportedModel released Oct 15, 2025Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,330
    Rank #95 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    71.2%
    Rank #110 of 160 matched models32K budgetRun date Oct 22, 2025Source: 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 1 more result with other run conditionsHide the other results
    • Listed as claude-haiku-4-5-20251001
      60.5%
      No conditions reportedRun date Oct 16, 2025Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    13.2%
    Rank #80 of 86 matched modelsNo conditions reportedRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as claude-haiku-4-5-20251001_32K
      12.6%
      32K budgetRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena. 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
$0.20
Est. per 1M tokens
92% cache reads
At the community mix
$0.19
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$2
Per 1M tokens at list prices
No cache

Cache reads were 92% of Claude Haiku 4.5 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

  • Anthropic list prices per 1M tokens: input $1, output $5, cache read $0.10, cache write $1.25.
  • 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

  • AnthropicReferenceclaude-haiku-4-5
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
  • Amazon Bedrockanthropic.claude-haiku-4-5-20251001-v1:0
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
  • Vertexclaude-haiku-4-5@20251001
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
  • Vertex (Anthropic)claude-haiku-4-5@20251001
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
Show 2 more providersShow fewer providers
  • OpenRouteranthropic/claude-haiku-4.5
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
  • Vercel AI Gatewayanthropic/claude-haiku-4.5
    $1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K 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
200K tokens
Max output
64K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Feb 28, 2025
Release date
Oct 15, 2025
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Claude Haiku 4.5 most in this period, by tokens. Hidden accounts are never listed.

  1. 1matt@matt1398190.4Btokens$19.1Kest. cost43active days$19.1K est. cost · 43 active days
  2. 2YONGJAE LEE (이용재)@voidmatcha11.6Btokens$2.7Kest. cost197active days$2.7K est. cost · 197 active days
  3. 3mj@icgmax7Btokens$3.1Kest. cost299active days$3.1K est. cost · 299 active days
  4. 4Artem Pavelko@Ma3auka6.4Btokens$1.2Kest. cost135active days$1.2K est. cost · 135 active days
  5. 5YeonGyu-Kim@code-yeongyu6.4Btokens$2.4Kest. cost252active days$2.4K est. cost · 252 active days
  6. 6TaeHwan Park@eightynine015.6Btokens$1Kest. cost116active days$1K est. cost · 116 active days
  7. 7Minsu Lee@amondnet5.1Btokens$1.1Kest. cost84active days$1.1K est. cost · 84 active days
  8. 8Sipho Yawe@SiphoYawe4.9Btokens$1.2Kest. cost80active days$1.2K est. cost · 80 active days
  9. 9registered2nd@registered2nd4.7Btokens$1.9Kest. cost223active days$1.9K est. cost · 223 active days
  10. 10Henrik@henrigkroine4.2Btokens$854est. cost172active days$854 est. cost · 172 active days

More from Anthropic

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

  1. Claude Sonnet 4.664% adoption1,564active users
  2. Claude Opus 4.658% adoption1,414active users
  3. Claude Opus 4.851% adoption1,256active users
  4. Claude Sonnet 543% adoption1,055active users
  5. Claude Opus 543% adoption1,049active users
  6. Claude Opus 4.742% adoption1,041active 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