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Claude 3.5 Sonnet(Jun 2024) vs Claude 3.7 Sonnet Extended Thinking: Benchmarks, Pricing, and Context Window Comparison

Claude 3.5 Sonnet(Jun 2024) vs Claude 3.7 Sonnet Extended Thinking compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Claude 3.7 Sonnet Extended Thinking has lower listed token pricing, while Claude 3.5 Sonnet(Jun 2024) can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
Claude 3.5 Sonnet(Jun 2024)
to
Claude 3.7 Sonnet Extended Thinking
Overview
Claude 3.5 Sonnet(Jun 2024) was released 8 months before Claude 3.7 Sonnet Extended Thinking.
Claude 3.5 Sonnet(Jun 2024)
Claude 3.7 Sonnet Extended Thinking
Provider
The entity that provides this model.
Anthropic
Anthropic
Input Context Window
The number of tokens supported by the input context window.
200K
tokens
200K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
64000
tokens
Release Date
When the model was first released.
2024-06-20
2025-02-24
Leaderboard
Claude 3.5 Sonnet(Jun 2024)
Claude 3.7 Sonnet Extended Thinking
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
Claude 3.5 Sonnet(Jun 2024)
Claude 3.7 Sonnet Extended Thinking
Input
Cost of input data provided to the model.
$3.00
per million tokens
$3
per million tokens
Output
Cost of output tokens generated by the model.
$15.00
per million tokens
$15
per million tokens
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet(Jun 2024) and Claude 3.7 Sonnet Extended Thinking Instruct.
Claude 3.5 Sonnet(Jun 2024)
Claude 3.7 Sonnet Extended Thinking
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
88.3
(5-shot)
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
68.3
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.