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Deep Seek-R1 vs o4 Mini: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs o4 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 o4 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
o4 Mini
Overview
Deep Seek-R1 was released 2 months before o4 Mini.
Deep Seek-R1
o4 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
200K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
100K
tokens
Release Date
When the model was first released.
2025-01-21
2025-04-16
Leaderboard
Deep Seek-R1
o4 Mini
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
o4 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 o4 Mini Instruct.
Deep Seek-R1
o4 Mini
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.
81.6
Source
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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