Claude Opus 4.8

AnthropicKey claude-opus-4-8Also reported as router_client:claude/claude-opus-4-8, claude/claude-opus-4-8, kiro/claude-opus-4-8, cc/claude-opus-4-8, anthropic/claude-opus-4-8, kr/claude-opus-4-8, vibeproxy/claude-opus-4-8, mvx/claude-opus-4-8, stealth/claude-opus-4-8, teamclaude/claude-opus-4-8, xr/claude-opus-4-8, router_client:unknown/claude-opus-4-8, bebal/claude-opus-4-8, eco/claude-opus-4-8, t/claude-opus-4-8, kiroaas/claude-opus-4-8, customoai/kami/claude-opus-4-8, sekai/claude-opus-4-8, vclaude/claude-opus-4-8, nghi/claude-opus-4-8

Rank
#8
by active users
Active users
1,256
All time
Adoption
51%
of 2,457 accounts
Tokens
5.7T
cache included
Est. cost
$5M
at public list prices
First seen
Jan 3, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:15 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

3 active users on Nov 12, 2026

Daily active users for Claude Opus 4.8, Oct 10, 2024 to Nov 12, 2026. Peak 533. Use the left and right arrow keys to read each day.6003000
Show daily values
Daily active users and tokens for Claude Opus 4.8
Date (UTC)Active usersTokens
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Jan 1, 202500
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Dec 30, 202500
Dec 31, 202500
Jan 1, 202600
Jan 2, 202600
Jan 3, 2026111.7M
Jan 4, 2026132.8M
Jan 5, 2026151.7M
Jan 6, 2026144.7M
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Jan 8, 2026132.8M
Jan 9, 2026144.7M
Jan 10, 2026151.7M
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Jan 20, 2026144.7M
Jan 21, 2026151.7M
Jan 22, 202600
Jan 23, 2026144.7M
Jan 24, 2026151.7M
Jan 25, 2026132.8M
Jan 26, 2026151.7M
Jan 27, 2026144.7M
Jan 28, 2026151.7M
Jan 29, 202600
Jan 30, 2026144.7M
Jan 31, 202600
Feb 1, 2026159.8M
Feb 2, 2026188.9M
Feb 3, 2026168.3M
Feb 4, 2026183.9M
Feb 5, 2026170M
Feb 6, 2026168.3M
Feb 7, 2026188.9M
Feb 8, 202600
Feb 9, 2026188.9M
Feb 10, 202600
Feb 11, 2026183.9M
Feb 12, 202600
Feb 13, 2026168.3M
Feb 14, 2026188.9M
Feb 15, 2026165M
Feb 16, 2026188.9M
Feb 17, 202600
Feb 18, 2026183.9M
Feb 19, 2026170M
Feb 20, 2026168.3M
Feb 21, 2026188.9M
Feb 22, 2026165M
Feb 23, 2026188.9M
Feb 24, 2026168.3M
Feb 25, 2026183.9M
Feb 26, 2026170M
Feb 27, 2026168.3M
Feb 28, 2026188.9M
Mar 1, 2026165M
Mar 2, 2026188.9M
Mar 3, 2026168.3M
Mar 4, 20261107.2M
Mar 5, 2026193.5M
Mar 6, 2026195.5M
Mar 7, 20261106.1M
Mar 8, 2026188.5M
Mar 9, 20261116M
Mar 10, 2026185.6M
Mar 11, 20261111M
Mar 12, 2026193.5M
Mar 13, 2026195.5M
Mar 14, 20261106.1M
Mar 15, 2026188.5M
Mar 16, 20261116M
Mar 17, 2026185.6M
Mar 18, 20261116M
Mar 19, 2026188.5M
Mar 20, 202600
Mar 21, 20261106.1M
Mar 22, 2026188.5M
Mar 23, 202600
Mar 24, 2026185.6M
Mar 25, 20261116M
Mar 26, 2026188.5M
Mar 27, 2026195.5M
Mar 28, 20261106.1M
Mar 29, 202600
Mar 30, 202600
Mar 31, 2026172.1M
Apr 1, 2026178.8M
Apr 2, 20261110.3M
Apr 3, 20261146.2M
Apr 4, 20261116.1M
Apr 5, 20261120.6M
Apr 6, 20261153.2M
Apr 7, 20261109.2M
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Apr 9, 20261120.6M
Apr 10, 20261146.2M
Apr 11, 202600
Apr 12, 20261120.6M
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Apr 14, 20261109.2M
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Apr 16, 20261120.6M
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Apr 19, 20261120.6M
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Apr 26, 20261120.6M
Apr 27, 20262199.4M
Apr 28, 20261109.3M
Apr 29, 20261153.5M
Apr 30, 20262172.9M
May 1, 20261130.7M
May 2, 2026189.2M
May 3, 20261122.2M
May 4, 20262141.2M
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May 6, 20262167.4M
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May 10, 20261122.2M
May 11, 20262189.9M
May 12, 20262407.9M
May 13, 20263373.6M
May 14, 20262149.9M
May 15, 20262856.6M
May 16, 202621.5B
May 17, 20262485.2M
May 18, 202631.4B
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May 26, 20263789.1M
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May 28, 2026989.1B
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Jun 28, 202637486.2B
Jun 29, 2026517133.2B
Jun 30, 2026521126.9B
Jul 1, 2026527112.9B
Jul 2, 202651096.7B
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Jul 4, 202638175.2B
Jul 5, 202639270.7B
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Jul 9, 202650089.3B
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Jul 30, 202615610B
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Aug 5, 202612611B
Aug 6, 202611113.5B
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Aug 27, 20269211.3B
Aug 28, 2026849.7B
Aug 29, 20266110.4B
Aug 30, 2026637.9B
Aug 31, 2026769.7B
Sep 1, 20269410B
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Sep 3, 2026897.9B
Sep 4, 2026847.8B
Sep 5, 2026675.6B
Sep 6, 2026544.9B
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Sep 9, 2026725B
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Sep 11, 2026593.5B
Sep 12, 2026492.7B
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Sep 14, 2026655.9B
Sep 15, 2026707B
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Sep 17, 2026656.8B
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Sep 20, 2026443.7B
Sep 21, 2026644.5B
Sep 22, 2026585.9B
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Sep 27, 2026361.4B
Sep 28, 2026452.1B
Sep 29, 2026612.2B
Sep 30, 2026501.6B
Oct 1, 2026472.3B
Oct 2, 2026391.3B
Oct 3, 2026291.4B
Oct 4, 2026321.2B
Oct 5, 2026341.8B
Oct 6, 2026411.8B
Oct 7, 2026422.2B
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Oct 10, 2026371.8B
Oct 11, 2026301.1B
Oct 12, 2026481B
Oct 13, 202644932.4M
Oct 14, 202641996.3M
Oct 15, 2026331.3B
Oct 16, 2026441.1B
Oct 17, 2026261.3B
Oct 18, 2026282.1B
Oct 19, 2026402.1B
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Oct 21, 2026421.2B
Oct 22, 2026381.6B
Oct 23, 2026421.7B
Oct 24, 2026281.9B
Oct 25, 202623989M
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Oct 27, 2026331.1B
Oct 28, 2026331.2B
Oct 29, 202628712.2M
Oct 30, 202628656.3M
Oct 31, 202617265.3M
Nov 1, 202619569.2M
Nov 2, 202628366.7M
Nov 3, 202621266.2M
Nov 4, 202622282.3M
Nov 5, 202627723.3M
Nov 6, 202626670.7M
Nov 7, 202613678.2M
Nov 8, 202615277.5M
Nov 9, 202612525.2M
Nov 10, 202611265.6M
Nov 11, 20261087M
Nov 12, 2026314.6M

Token mix

How the 5.7T tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.0%
  • Output0.5%
  • Cache read95%
  • Cache write4.0%
  • Reasoning<0.1%

Agents that carry Claude Opus 4.8

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

  1. Claude Code87% of this model's tokens1,178active users
  2. OpenCode5.1% of this model's tokens122active users
  3. Gajae Code2.9% of this model's tokens55active users
  4. Pi2.4% of this model's tokens76active users
  5. Oh My Pi0.9% of this model's tokens37active users
  6. OpenClaw0.7% of this model's tokens14active users
  7. Senpi (OmO Native)0.3% of this model's tokens29active users
  8. Hermes Agent0.2% of this model's tokens50active users
  9. MiMo Code0.2% of this model's tokens30active users
  10. Synthetic0.2% of this model's tokens1active users
  11. Droid<0.1% of this model's tokens12active users
  12. Codex CLI<0.1% of this model's tokens16active users
  13. Kiro<0.1% of this model's tokens22active users
  14. ZCode<0.1% of this model's tokens6active users
  15. Mux<0.1% of this model's tokens1active users
  16. Prime Agent<0.1% of this model's tokens2active users
  17. Copilot<0.1% of this model's tokens14active users
  18. Aside<0.1% of this model's tokens9active users
  19. DeepSeek Harness<0.1% of this model's tokens3active users
  20. Kimi<0.1% of this model's tokens1active users
  21. Kilo<0.1% of this model's tokens4active users
  22. Junie<0.1% of this model's tokens2active users
  23. CodeBuddy<0.1% of this model's tokens1active users
  24. Augment Code<0.1% of this model's tokens1active users
  25. OpenCodeReview<0.1% of this model's tokens2active users
  26. Roo Code<0.1% of this model's tokens1active users
  27. cc-mirror/claudecc<0.1% of this model's tokens1active users
  28. Trae<0.1% of this model's tokens1active users
  29. WorkBuddy<0.1% of this model's tokens2active users
  30. Grok Build<0.1% of this model's tokens1active users
  31. Cherry Studio<0.1% of this model's tokens2active users
  32. Goose<0.1% of this model's tokens1active users
  33. Jcode<0.1% of this model's tokens1active users
  34. Cline<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Opus 4.8 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
    159.9
    Rank #21 of 158 matched modelsNo conditions reportedModel released May 28, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    23.6%
    Rank #14 of 23 matched modelsMax · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 87% of Claude Opus 4.8 tokens across all time (1,178 active users).

  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    59.0%
    Rank #14 of 26 matched modelsMax · mini-swe-agentModel released May 28, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as claude-opus-4-8 (xhigh)
      54.4%
      XHigh · mini-swe-agentModel released May 28, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-opus-4-8 (high)
      51.8%
      High · mini-swe-agentModel released May 28, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-opus-4-8 (medium)
      48.7%
      Medium · mini-swe-agentModel released May 28, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-opus-4-8 (low)
      40.8%
      Low · mini-swe-agentModel released May 28, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,556
    Rank #37 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 4.8
      1,536
      No conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    91.0%
    Rank #35 of 160 matched modelsMaxRun date Jun 7, 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.

    Show 2 more results with other run conditionsHide the other results
    • Listed as claude-opus-4-8_low
      88.4%
      LowRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
    • Listed as claude-opus-4-8_none
      85.4%
      No reasoningRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    80.0%
    Rank #20 of 90 matched modelsMaxRun date Jun 10, 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
    53.0%
    Rank #26 of 86 matched modelsMaxRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, CursorBench, 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
$0.90
Est. per 1M tokens
95% cache reads
At the community mix
$0.95
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$10
Per 1M tokens at list prices
No cache

Cache reads were 95% of Claude Opus 4.8 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 $5, output $25, cache read $0.50, cache write $6.25.
  • 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-opus-4-8
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-opus-4-8
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
  • Vertexclaude-opus-4-8@default
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-opus-4-8@default
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
  • Azureclaude-opus-4-8
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-opus-4.8
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-opus-4.8
    $5 input per 1M tokens$25 output per 1M tokens$0.50 cache read per 1M tokens$6.25 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
Jan 2026
Release date
May 28, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Claude Opus 4.8 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Jeff Emanuel@Dicklesworthstone241.5Btokens$168.1Kest. cost119active days$168.1K est. cost · 119 active days
  2. 2DayLab@daylab-official103.9Btokens$74.7Kest. cost60active days$74.7K est. cost · 60 active days
  3. 3Lai Quang Huy@1qh97.1Btokens$62.1Kest. cost99active days$62.1K est. cost · 99 active days
  4. 4Yoonjae@AngryJay9185.5Btokens$60.4Kest. cost159active days$60.4K est. cost · 159 active days
  5. 5Shad0w23333@Shad0w2333380.4Btokens$62.1Kest. cost96active days$62.1K est. cost · 96 active days
  6. 6Craig Vander Galien@CraigVG57.2Btokens$50.9Kest. cost86active days$50.9K est. cost · 86 active days
  7. 7YeonGyu-Kim@code-yeongyu55.1Btokens$95Kest. cost130active days$95K est. cost · 130 active days
  8. 8ualtinok@ualtinok51.6Btokens$34Kest. cost67active days$34K est. cost · 67 active days
  9. 9Jonathannkayy@Jonathannkayy49.5Btokens$119.6Kest. cost78active days$119.6K est. cost · 78 active days
  10. 10Henrik@henrigkroine49.3Btokens$45.3Kest. cost94active days$45.3K est. cost · 94 active days

More from Anthropic

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

  1. Claude Haiku 4.573% adoption1,805active users
  2. Claude Sonnet 4.664% adoption1,564active users
  3. Claude Opus 4.658% adoption1,414active 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.
  • 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