NLP Lineage

24 February 2025 · Alignment

Claude 3.7

Claude 3.7 Sonnet

Anthropic

Date
24 February 2025
What the date marks
Model release
Kind
Model
Organisation
Anthropic
Access
API only
Threads
In the guided tour
Chapter 12. Thinking longer
Learning phases
2. How LLMs are trained; 3. API usage and prompting

A milestone: 2 later milestones descend directly from it, and its descendants reach 3 of the 10 threads. How levels are decided

Figures quoted here are reported by the organisation that built it, not independently verified.

Read the primary source (anthropic.com)

Full summary in progress. Until then, this page shows the milestone's record from the research data.

What it changed

Before it

Reasoning models were a separate product line from chat models.

The problem

Users had to pick the right model, and reasoning cost applied even to trivial questions.

What it introduced

One model with an extended thinking mode you can switch on, and a visible budget for how long it thinks.

Why it matters

The hybrid design became the industry pattern, ending the split between chat and reasoning models.

What modern models inherit

Reasoning as a dial on a single model.

What came next

GPT-5's router and Gemini 2.5's thinking models followed the same logic.

Before and after

The milestones it descends from, and the milestones that descend from it. Work developed alongside it is not counted. Weak links are left out unless you include them.

Before: where it came from

Claude 3.7 has 44 documented ancestors across 9 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 18 turning points among them.

Claude 3.7 has 44 documented ancestors across 9 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

Claude 3.7 has 48 recorded ancestors, including indirect ones, across 9 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 18 turning points among them.

Claude 3.7 has 48 recorded ancestors, including indirect ones, across 9 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

  1. 2025Claude 3.7This milestone.
  2. 2024o1 Turning pointClaude 3.7 was influenced by thisChapter 12. Thinking longer
  3. 2024Claude 3.5 SonnetClaude 3.7 built directly on thisChapter 14. Where the threads meet now
  4. 2024Claude 3Claude 3.5 Sonnet built directly on thisChapter 14. Where the threads meet now
  5. 2023GPT-4 Turning pointClaude 3 was influenced by thisChapter 7. The assistant goes public
  6. 2023ClaudeClaude 3 built directly on thisChapter 7. The assistant goes public
  7. 2022Constitutional AIClaude 3 built directly on thisChapter 6. Teaching models what people want
  8. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  9. 2022HH-RLHFConstitutional AI built directly on this
    Claude was influenced by this    Chapter 6. Teaching models what people want
  10. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  11. 2022Chain of thought Turning pointo1 was influenced by thisChapter 12. Thinking longer
  12. 2021HHH assistantHH-RLHF built directly on thisChapter 6. Teaching models what people want
  13. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  14. 2020RLHF for summarisation Turning pointInstructGPT built directly on this
    HH-RLHF built directly on this    Chapter 6. Teaching models what people want
  15. 2020GPT-3 Turning pointChain of thought was influenced by thisChapter 5. Scale becomes a science
  16. 2020Scaling laws Turning pointGPT-3 was influenced by this
    GPT-4 built directly on this    Chapter 5. Scale becomes a science
  17. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  18. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  19. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  20. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  21. 2019GPT-2 Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  22. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  23. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  24. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  25. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  26. 2018ELMoBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  27. 2018ULMFiTBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  28. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  29. 2017RLHF originConstitutional AI was influenced by thisChapter 6. Teaching models what people want
  30. 2017Transformer Turning pointGPT-2 built directly on this
    Sparse Transformer built directly on this
    Scaling laws built directly on this    Chapter 3. Attention, then only attention
  31. 2016Layer normGPT-2 built directly on thisChapter 3. Attention, then only attention
  32. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  33. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  34. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  35. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  36. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  37. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  38. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  39. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  40. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  41. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  42. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  43. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  44. 1997LSTM Turning pointSeq2seq built directly on thisChapter 1. Language as probability
  45. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability
  1. 2025Claude 3.7This milestone.
  2. 2024o1 Turning pointClaude 3.7 was influenced by thisChapter 12. Thinking longer
  3. 2024Claude 3.5 SonnetClaude 3.7 built directly on thisChapter 14. Where the threads meet now
  4. 2024Claude 3Claude 3.5 Sonnet built directly on thisChapter 14. Where the threads meet now
  5. 2023Process supervisiono1 was influenced by this (indirect influence)Chapter 12. Thinking longer
  6. 2023GPT-4 Turning pointClaude 3 was influenced by thisChapter 7. The assistant goes public
  7. 2023ClaudeClaude 3 built directly on thisChapter 7. The assistant goes public
  8. 2022Constitutional AIClaude 3 built directly on thisChapter 6. Teaching models what people want
  9. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  10. 2022HH-RLHFConstitutional AI built directly on this
    Claude was influenced by this    Chapter 6. Teaching models what people want
  11. 2022STaRo1 was influenced by this (indirect influence)Chapter 12. Thinking longer
  12. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  13. 2022Chain of thought Turning pointo1 was influenced by thisChapter 12. Thinking longer
  14. 2021HHH assistantHH-RLHF built directly on thisChapter 6. Teaching models what people want
  15. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  16. 2020RLHF for summarisation Turning pointInstructGPT built directly on this
    HH-RLHF built directly on this    Chapter 6. Teaching models what people want
  17. 2020GPT-3 Turning pointChain of thought was influenced by thisChapter 5. Scale becomes a science
  18. 2020Scaling laws Turning pointGPT-3 was influenced by this
    GPT-4 built directly on this    Chapter 5. Scale becomes a science
  19. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  20. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  21. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  22. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  23. 2019GPT-2 Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  24. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  25. 2019Transformer-XLSparse Transformer was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  26. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  27. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  28. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  29. 2018ELMoGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  30. 2018ULMFiTGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  31. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  32. 2017RLHF origino1 was influenced by this (indirect influence)Chapter 6. Teaching models what people want
  33. 2017Transformer Turning pointGPT-2 built directly on this
    Sparse Transformer built directly on this
    Scaling laws built directly on this    Chapter 3. Attention, then only attention
  34. 2017ConvS2STransformer was influenced by this (indirect influence)Chapter 3. Attention, then only attention
  35. 2016Layer normGPT-2 built directly on thisChapter 3. Attention, then only attention
  36. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  37. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  38. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  39. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  40. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  41. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  42. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  43. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  44. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  45. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  46. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  47. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  48. 1997LSTM Turning pointSeq2seq built directly on this
    ELMo built directly on this    Chapter 1. Language as probability
  49. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability

After: what it led to

Claude 3.7 has 10 documented descendants across 2 chapters, reaching forward to Claude Opus 5.5 in 2026. Showing its direct descendants.

Claude 3.7 has 10 documented descendants across 2 chapters, reaching forward to Claude Opus 5.5 in 2026. Showing all of them.

Claude 3.7 has 10 recorded descendants, including indirect ones, across 2 chapters, reaching forward to Claude Opus 5.5 in 2026. Showing its direct descendants.

Claude 3.7 has 10 recorded descendants, including indirect ones, across 2 chapters, reaching forward to Claude Opus 5.5 in 2026. Showing all of them.

  1. 2025Claude 3.7This milestone.
  2. 2025Claude Codewas influenced by Claude 3.7Chapter 13. Models that act
  3. 2025Claude 4built directly on Claude 3.7Chapter 13. Models that act
  4. 2025Claude Sonnet 4.5built directly on Claude 4Chapter 13. Models that act
  5. 2025Claude Opus 4.5built directly on Claude Sonnet 4.5Chapter 13. Models that act
  6. 2026Claude Opus 4.6built directly on Claude Opus 4.5Chapter 14. Where the threads meet now
  7. 2026Claude Opus 4.7built directly on Claude Opus 4.6Chapter 14. Where the threads meet now
  8. 2026Claude Opus 4.8built directly on Claude Opus 4.7Chapter 14. Where the threads meet now
  9. 2026Claude Sonnet 5succeeded Claude Opus 4.8Chapter 14. Where the threads meet now
  10. 2026Claude Opus 5succeeded Claude Opus 4.8Chapter 14. Where the threads meet now
  11. 2026Claude Opus 5.5built directly on Claude Opus 5Chapter 14. Where the threads meet now
  1. 2025Claude 3.7This milestone.
  2. 2025Claude Codewas influenced by Claude 3.7Chapter 13. Models that act
  3. 2025Claude 4built directly on Claude 3.7Chapter 13. Models that act
  4. 2025Claude Sonnet 4.5built directly on Claude 4Chapter 13. Models that act
  5. 2025Claude Opus 4.5built directly on Claude Sonnet 4.5Chapter 13. Models that act
  6. 2026Claude Opus 4.6built directly on Claude Opus 4.5Chapter 14. Where the threads meet now
  7. 2026Claude Opus 4.7built directly on Claude Opus 4.6Chapter 14. Where the threads meet now
  8. 2026Claude Opus 4.8built directly on Claude Opus 4.7Chapter 14. Where the threads meet now
  9. 2026Claude Sonnet 5succeeded Claude Opus 4.8Chapter 14. Where the threads meet now
  10. 2026Claude Opus 5succeeded Claude Opus 4.8Chapter 14. Where the threads meet now
  11. 2026Claude Opus 5.5built directly on Claude Opus 5Chapter 14. Where the threads meet now

Direct links and their sources

Where it came from

Built directly on

Influenced by

What it led to

Built on directly by

Influenced

Developed alongside

  • GPT-5, 2025 (timing only, no documented link) Hybrid reasoning arrived at both labs within months. Source: openai.com