Claude Opus 4.5

AnthropicKey claude-opus-4-5Also reported as claude-opus-4-5-20251101, claude-opus-4.5, claude opus 4-5, anthropic/claude-opus-4-5, antigravity/claude-opus-4-5, anthropic/claude-4-5-opus, anthropic/claude-opus-4.5, blackboxai/anthropic/claude-opus-4-5, claude/claude-opus-4-5

Rank
#227
by active users
Active users
4
Down 4 from 8 active users in the previous 30 days. vs previous 30 days
Adoption
0.4%
of 960 accounts
Tokens
1.1M
cache included
Est. cost
$3
at public list prices
First seen
Dec 31, 2024
in any submission

Oct 14 – Nov 12, 2026 (UTC)960 accounts100% of tokens from an identified modelData through Nov 12, 2026, 04:57 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Claude Opus 4.5, Oct 14, 2026 to Nov 12, 2026. Peak 2. Use the left and right arrow keys to read each day.210
Show daily values
Daily active users and tokens for Claude Opus 4.5
Date (UTC)Active usersTokens
Oct 14, 20261400K
Oct 15, 2026115.2K
Oct 16, 202600
Oct 17, 202600
Oct 18, 202600
Oct 19, 202600
Oct 20, 202600
Oct 21, 202600
Oct 22, 202600
Oct 23, 2026299K
Oct 24, 2026116.2K
Oct 25, 202600
Oct 26, 202600
Oct 27, 202600
Oct 28, 202600
Oct 29, 202600
Oct 30, 20261361K
Oct 31, 202600
Nov 1, 202600
Nov 2, 2026176.2K
Nov 3, 202600
Nov 4, 202600
Nov 5, 2026257.9K
Nov 6, 2026134.7K
Nov 7, 202600
Nov 8, 202600
Nov 9, 202600
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 1.1M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input19%
  • Output1.7%
  • Cache read63%
  • Cache write16%
  • Reasoning0%

Agents that carry Claude Opus 4.5

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

  1. Claude Code97% of this model's tokens3active users
  2. OpenCode2.6% of this model's tokens1active users

Benchmarks

The best result for Claude Opus 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
    151.9
    Rank #59 of 158 matched modelsNo conditions reportedModel released Nov 24, 2025Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,494
    Rank #55 of 110 matched modelsHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as Claude Opus 4.5 (20251101)
      1,469
      No conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    86.0%
    Rank #69 of 160 matched models32K budgetRun date Nov 24, 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 2 more results with other run conditionsHide the other results
    • Listed as claude-opus-4-5-20251101_16K
      85.5%
      16K budgetRun date Nov 25, 2025Source: epoch.ai (opens in a new tab)
    • Listed as claude-opus-4-5-20251101
      80.7%
      No conditions reportedRun date Nov 24, 2025Source: epoch.ai (opens in a new tab)
  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    25.2%
    Rank #15 of 40 matched modelsNo conditions reportedModel released Nov 24, 2025Source: lastexam.ai (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as claude-opus-4-5-20251101
      14.2%
      No conditions reportedModel released Nov 24, 2025Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    34.4%
    Rank #68 of 90 matched models32K budgetRun date Jun 11, 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
    45.7%
    Rank #43 of 86 matched models32K budgetRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    76.7%
    Rank #11 of 32 matched modelsNo conditions reportedRun date Feb 5, 2026Source: epoch.ai (opens in a new tab)

    History only. Newer agentic coding benchmarks are on the main board.

Not evaluated: Terminal-Bench 4.0, 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
$2.71
Est. per 1M tokens
63% cache reads
At the community mix
$0.76
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$10
Per 1M tokens at list prices
No cache

Cache reads were 63% of Claude Opus 4.5 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 $5, output $25, cache read $0.50, cache write $6.25.
  • 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-opus-4-5
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens200K tokens of context
  • Amazon Bedrockanthropic.claude-opus-4-5-20251101-v1:0
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens200K tokens of context
  • Vertexclaude-opus-4-5@20251101
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens200K tokens of context
  • Vertex (Anthropic)claude-opus-4-5@20251101
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens200K tokens of context
Show 2 more providersShow fewer providers
  • OpenRouteranthropic/claude-opus-4.5
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens200K tokens of context
  • Vercel AI Gatewayanthropic/claude-opus-4.5
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 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
May 2025
Release date
Nov 24, 2025
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1thines jai shankar@thinesjs992Ktokens$2est. cost7active days$2 est. cost · 7 active days
  2. 2Anand Kamble@anand-kamble34.7Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  3. 3yslee@rapidrabbit7627.3Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  4. 4Owen@kang-heewon6.3Ktokens<$1est. cost1active days<$1 est. cost · 1 active days

More from Anthropic

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

  1. Claude Opus 5.574% adoption712active users
  2. Claude Sonnet 5.558% adoption556active users
  3. Claude Haiku 5.550% adoption479active users
  4. Claude Fable 5.138% adoption361active users
  5. Claude Opus 4.823% adoption222active users
  6. Claude Fable 5.219% adoption186active 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