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DeepSeek-V3 vs GPT-4o mini: Benchmarks, Pricing, and Context Window Comparison

DeepSeek-V3 vs GPT-4o 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

DeepSeek-V3 has lower listed token pricing, while GPT-4o mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
DeepSeek-V3
to
GPT-4o mini
Overview
DeepSeek-V3 was released 6 months after GPT-4o mini.
DeepSeek-V3
GPT-4o 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.
8K
tokens
16,384
tokens
Release Date
When the model was first released.
2024-12-27
2024-07-18
Leaderboard
DeepSeek-V3
GPT-4o 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
DeepSeek-V3
GPT-4o mini
Input
Cost of input data provided to the model.
$0.14
per million tokens
$0.15
per million tokens
Output
Cost of output tokens generated by the model.
$0.28
per million tokens
$0.60
per million tokens
Benchmarks
Compare relevant benchmarks between DeepSeek-V3 and GPT-4o mini Instruct.
DeepSeek-V3
GPT-4o mini
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
88.5
(5-shot)
82
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
59.4
HellaSwag
A challenging sentence completion benchmark.
88.9
(10-shot)
Benchmark not available.