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Deep Seek-R1 vs GPT-4 32K: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs GPT-4 32K 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 GPT-4 32K can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Deep Seek-R1
to
GPT-4 32K
Overview
Deep Seek-R1 was released 23 months after GPT-4 32K.
Deep Seek-R1
GPT-4 32K
Provider
The entity that provides this model.
DeepSeek
OpenAI
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
32.8K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
Not specified.
Release Date
When the model was first released.
2025-01-21
2023-03-14
Leaderboard
Deep Seek-R1
GPT-4 32K
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
Deep Seek-R1
GPT-4 32K
Input
Cost of input data provided to the model.
$0.55
per million tokens
$60.00
per million tokens
Output
Cost of output tokens generated by the model.
$2.19
per million tokens
$120.00
per million tokens
Benchmarks
Compare relevant benchmarks between Deep Seek-R1 and GPT-4 32K Instruct.
Deep Seek-R1
GPT-4 32K
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
90.8
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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sneh[at]miraiminds.co

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