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DeepSeek-V3 vs Gemini 1.0 Ultra: Benchmarks, Pricing, and Context Window Comparison

DeepSeek-V3 vs Gemini 1.0 Ultra 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

Use pricing, benchmark scores, context window limits, and release recency together to choose between DeepSeek-V3 and Gemini 1.0 Ultra.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
DeepSeek-V3
to
Gemini 1.0 Ultra
Overview
DeepSeek-V3 was released 11 months after Gemini 1.0 Ultra.
DeepSeek-V3
Gemini 1.0 Ultra
Provider
The entity that provides this model.
DeepSeek
Google
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.
8K
tokens
8,192
tokens
Release Date
When the model was first released.
2024-12-27
2024-02-08
Leaderboard
DeepSeek-V3
Gemini 1.0 Ultra
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
Gemini 1.0 Ultra
Input
Cost of input data provided to the model.
$0.14
per million tokens
Pricing not available.
Output
Cost of output tokens generated by the model.
$0.28
per million tokens
Pricing not available.
Benchmarks
Compare relevant benchmarks between DeepSeek-V3 and Gemini 1.0 Ultra Instruct.
DeepSeek-V3
Gemini 1.0 Ultra
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
88.5
(5-shot)
Source
83.7
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
59.4
Source
HellaSwag
A challenging sentence completion benchmark.
88.9
(10-shot)
Source
Benchmark not available.

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