Claude 3.7 Sonnet

AnthropicKey claude-3-7-sonnetAlso reported as claude-3-7-sonnet-20250219, claude-3.7-sonnet, coding/claude-3-7-sonnet, copilot/claude-3-7-sonnet

No usage of Claude 3.7 Sonnet in the last 7 days. Showing all time instead.

Rank
#340
by active users
Active users
24
All time
Adoption
1.0%
of 2,466 accounts
Tokens
584.7M
cache included
Est. cost
$384
at public list prices
First seen
Apr 8, 2025
in any submission

Oct 10, 2024 – Nov 13, 2026 (UTC)2,466 accounts100% of tokens from an identified modelData through Nov 13, 2026, 06:20 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 13, 2026

Daily active users for Claude 3.7 Sonnet, Oct 10, 2024 to Nov 13, 2026. Peak 4. Use the left and right arrow keys to read each day.420
Show daily values
Daily active users and tokens for Claude 3.7 Sonnet
Date (UTC)Active usersTokens
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Apr 8, 202516M
Apr 9, 20251436K
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Apr 16, 202512.8M
Apr 17, 202516.7M
Apr 18, 2025133.8M
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Apr 20, 2025117M
Apr 21, 202517.2M
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Apr 24, 2025110.3M
Apr 25, 2025228.3M
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Apr 29, 2025145.7M
Apr 30, 2025148M
May 1, 2025138.4M
May 2, 2025121.8M
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May 4, 2025117.5M
May 5, 2025125.2M
May 6, 2025117.9M
May 7, 2025111.9M
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May 18, 202512M
May 19, 20251372K
May 20, 20251751K
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Jun 2, 2025130.9K
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Jun 20, 20251281K
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Dec 3, 20251117K
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Token mix

How the 584.7M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.1%
  • Output0.8%
  • Cache read91%
  • Cache write7.3%
  • Reasoning0%

Agents that carry Claude 3.7 Sonnet

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

  1. Claude Code83% of this model's tokens4active users
  2. Cursor15% of this model's tokens14active users
  3. Zed Agent1.0% of this model's tokens1active users
  4. Roo Code0.3% of this model's tokens2active users
  5. OpenCode<0.1% of this model's tokens3active users

Benchmarks

The best result for Claude 3.7 Sonnet 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
    141.0
    Rank #111 of 158 matched modelsNo conditions reportedModel released Feb 24, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    79.7%
    Rank #90 of 160 matched models64K budgetRun date May 26, 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 3 more results with other run conditionsHide the other results
    • Listed as claude-3-7-sonnet-20250219_32K
      76.8%
      32K budgetRun date Mar 10, 2025Source: epoch.ai (opens in a new tab)
    • Listed as claude-3-7-sonnet-20250219_16K
      76.8%
      16K budgetRun date Feb 26, 2025Source: epoch.ai (opens in a new tab)
    • Listed as claude-3-7-sonnet-20250219
      66.0%
      No conditions reportedRun date Feb 24, 2025Source: epoch.ai (opens in a new tab)
  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    8.0%
    Rank #32 of 40 matched modelsNo conditions reportedModel released Feb 24, 2025Source: lastexam.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    61.0%
    Rank #28 of 32 matched modelsNo conditions reportedRun date Feb 4, 2026Source: epoch.ai (opens in a new tab)

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

Not evaluated: FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

models.dev does not list Claude 3.7 Sonnet, so Tokscale has no list price or price estimate for it.

Specs

models.dev does not list Claude 3.7 Sonnet, so Tokscale has no specs for it.

Top public profiles

Public profiles that used Claude 3.7 Sonnet most in this period, by tokens. Hidden accounts are never listed.

  1. 1Jeremy Mouton@jeremymouton485.8Mtokens$323est. cost26active days$323 est. cost · 26 active days
  2. 2beichen chang@BeicC36.1Mtokens$28est. cost21active days$28 est. cost · 21 active days
  3. 3fathiraz arthuro@fathiraz17.7Mtokens$9est. cost12active days$9 est. cost · 12 active days
  4. 4Stark Liu@DimensionPrism17.2Mtokens$4est. cost11active days$4 est. cost · 11 active days
  5. 5Michael Cheng@Michaelooo9.7Mtokens$8est. cost18active days$8 est. cost · 18 active days
  6. 6Pandu Yudhistira Wicaksono@theyudhiztira5.8Mtokens$3est. cost2active days$3 est. cost · 2 active days
  7. 7gmgymnast@gmgymnast3.3Mtokens$2est. cost3active days$2 est. cost · 3 active days
  8. 8Aaron@pyraxo3.1Mtokens$1est. cost3active days$1 est. cost · 3 active days
  9. 9Naufaldi@naufaldi1.4Mtokens$1est. cost2active days$1 est. cost · 2 active days
  10. 10John Owen Nixon@johnowennixon1.2Mtokens$1est. cost2active days$1 est. cost · 2 active days

More from Anthropic

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

  1. Claude Haiku 4.574% adoption1,815active users
  2. Claude Sonnet 4.664% adoption1,571active users
  3. Claude Opus 4.658% adoption1,419active users
  4. Claude Opus 4.851% adoption1,264active users
  5. Claude Sonnet 543% adoption1,062active users
  6. Claude Opus 543% adoption1,058active 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.
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count