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DeepSeek vs Meta

A comprehensive comparison of DeepSeek (2 models) and Meta (2 models) across pricing, benchmarks, context windows, and capabilities. Updated for 2026.

Provider Overview

DeepSeek

Models

2

Price range

$0.42 – $2.74

Avg benchmarks

83.0%

Avg context

146K

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Meta

Models

2

Price range

$0.81 – $1.16

Avg benchmarks

82.7%

Avg context

5.5M

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Model Lineup Comparison

ModelProviderCategoryInput $/1MOutput $/1MContextAvg Bench
DeepSeek R1DeepSeekReasoning$0.55$2.19128K82.5%
DeepSeek V3DeepSeekOpen Source$0.14$0.28164K83.5%
Llama 4 ScoutMetaOpen Source$0.18$0.6310M80.1%
Llama 4 MaverickMetaOpen Source$0.31$0.851M85.3%

Head-to-Head by Category

Reasoning

DeepSeek R1DeepSeekWinner
Input

$0.55/1M

Output

$2.19/1M

Context

128K

Avg Bench

82.5%

No reasoning model from Meta

Open Source

DeepSeek V3DeepSeek
Input

$0.14/1M

Output

$0.28/1M

Context

164K

Avg Bench

83.5%

Input

$0.31/1M

Output

$0.85/1M

Context

1M

Avg Bench

85.3%

Verdict

Best on price: DeepSeek offers the cheapest option at $0.42/1M tokens combined, vs $0.81/1M from Meta.

Higher benchmarks: DeepSeek averages 83.0% across models, vs 82.7% from Meta.

Larger context: Meta averages 5.5M context window across models.

More models: Meta offers 2 models vs 2 from DeepSeek.

Choose DeepSeek if cost is your priority. Choose DeepSeek if you need the highest quality across your workloads.

Model-Level Comparisons

Other Provider Comparisons