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Deep Seek-R1 vs o1-mini: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs o1-mini 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 o1-mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Deep Seek-R1
to
o1-mini
Overview
Deep Seek-R1 was released 5 months after o1-mini.
Deep Seek-R1
o1-mini
Provider
The entity that provides this model.
DeepSeek
OpenAI
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
128000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
65536
tokens
Release Date
When the model was first released.
2025-01-21
2024-09-12
Leaderboard
Deep Seek-R1
o1-mini
Rank
Unknown
5
Arena Elo
Not specified.
1307
95% CI
Not specified.
+3/-4
Votes
Not specified.
35691
License
Not specified.
Proprietary
Knowledge Cutoff
Unknown
4/2023
Pricing
Deep Seek-R1
o1-mini
Input
Cost of input data provided to the model.
$0.55
per million tokens
$1.10
per million tokens
Output
Cost of output tokens generated by the model.
$2.19
per million tokens
$4.40
per million tokens
Benchmarks
Compare relevant benchmarks between Deep Seek-R1 and o1-mini Instruct.
Deep Seek-R1
o1-mini
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
90.8
(5-shot)
Source
85.2
(5-shot)
Source
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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Mirai Minds