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Deep Seek-R1 vs GPT-3.5 Turbo 0125: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs GPT-3.5 Turbo 0125 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

GPT-3.5 Turbo 0125 has lower listed token pricing, while Deep Seek-R1 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-3.5 Turbo 0125
Overview
Deep Seek-R1 was released 12 months after GPT-3.5 Turbo 0125.
Deep Seek-R1
GPT-3.5 Turbo 0125
Provider
The entity that provides this model.
DeepSeek
OpenAI
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
16.4K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
4096
tokens
Release Date
When the model was first released.
2025-01-21
2024-01-25
Leaderboard
Deep Seek-R1
GPT-3.5 Turbo 0125
Rank
Unknown
33
Arena Elo
Not specified.
1106
95% CI
Not specified.
+3/-3
Votes
Not specified.
44919
License
Not specified.
Proprietary
Knowledge Cutoff
Unknown
9/2021
Pricing
Deep Seek-R1
GPT-3.5 Turbo 0125
Input
Cost of input data provided to the model.
$0.55
per million tokens
$0.50
per million tokens
Output
Cost of output tokens generated by the model.
$2.19
per million tokens
$1.50
per million tokens
Benchmarks
Compare relevant benchmarks between Deep Seek-R1 and GPT-3.5 Turbo 0125 Instruct.
Deep Seek-R1
GPT-3.5 Turbo 0125
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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