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Claude 3.5 Sonnet(Oct 2024) vs Deep Seek-R1: Benchmarks, Pricing, and Context Window Comparison

Claude 3.5 Sonnet(Oct 2024) vs Deep Seek-R1 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

Deep Seek-R1 has lower listed token pricing, while Claude 3.5 Sonnet(Oct 2024) can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
Claude 3.5 Sonnet(Oct 2024)
to
Deep Seek-R1
Overview
Claude 3.5 Sonnet(Oct 2024) was released 2 months before Deep Seek-R1.
Claude 3.5 Sonnet(Oct 2024)
Deep Seek-R1
Provider
The entity that provides this model.
Anthropic
DeepSeek
Input Context Window
The number of tokens supported by the input context window.
200K
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
32K
tokens
Release Date
When the model was first released.
2024-10-22
2025-01-21
Leaderboard
Claude 3.5 Sonnet(Oct 2024)
Deep Seek-R1
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(Oct 2024)
Deep Seek-R1
Input
Cost of input data provided to the model.
$3.00
per million tokens
$0.55
per million tokens
Output
Cost of output tokens generated by the model.
$15.00
per million tokens
$2.19
per million tokens
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet(Oct 2024) and Deep Seek-R1 Instruct.
Claude 3.5 Sonnet(Oct 2024)
Deep Seek-R1
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
89.3
(5-shot)
90.8
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
71.4
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.