Price Per TokenPrice Per Token
Deepseek
Deepseek
vs
Meta-llama
Meta-llama

Deepseek vs Meta-llama

Compare all Deepseek and Meta-llama models — pricing, benchmarks, and capabilities

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Overview

Deepseek

Models
24
Cheapest Input
$0.01
Max Context
1.0M
Top Intelligence
39.3

Meta-llama

Models
42
Cheapest Input
$0.02
Max Context
1.0M
Top Intelligence
18.4

Flagship Model Comparison

DeepSeek V4 ProvsLlama 4 Maverick
MetricDeepSeek V4 ProLlama 4 Maverick
Input $/1M tokens$0.43$0.15
Output $/1M tokens$0.87$0.60
Context Window1.0M1.0M
Intelligence39.318.4
Coding38.415.6
MathN/A19.3

All Models Pricing

Deepseek Models

ModelInput/1MOutput/1MContext
DeepSeek V4 Pro $0.43 $0.871.0M
DeepSeek V4 Flash (Non-Reasoning) $0.14 $0.281.0M
DeepSeek V3.2 $0.25 $0.38164K
DeepSeek V3.2 Speciale $0.29 $0.43164K
DeepSeek V3.1 Terminus $0.27 $0.95164K
DeepSeek V3.2 Exp $0.27 $0.41164K
DeepSeek V3.1 $0.15 $0.7533K
R1 0528 $0.50 $2.15164K
R1 $0.55 $2.0064K
R1 Distill Qwen 32B $0.29 $0.2933K
DeepSeek V3 0324 $0.20 $0.77164K
DeepSeek R1 0528 Qwen3 8B $0.20 $0.20128K
R1 Distill Llama 70B $0.70 $0.80131K
R1 Distill Qwen 14B $0.15 $0.1533K
R1 Distill Llama 8B $0.04 $0.0433K
R1 Distill Qwen 1.5B $0.18 $0.18131K
DeepSeek V3 $0.01 $0.03164K
DeepSeek Coder 1.3B Base $0.10 $0.1016K
DeepSeek Coder 7B Base $0.20 $0.204K
R1 Distill Qwen 7B $0.20 $0.2033K
DeepSeek Coder 7B Base v1.5 $0.20 $0.204K
DeepSeek Coder 7B Instruct v1.5 $0.20 $0.204K
DeepSeek Prover V2 $0.50 $2.18164K
DeepSeek Coder 33B Instruct $0.80 $0.8016K

Meta-llama Models

ModelInput/1MOutput/1MContext
Llama 4 Maverick $0.15 $0.601.0M
Llama 3.1 405B Instruct $0.90 $0.90131K
Llama 3.3 70B Instruct $0.10 $0.32131K
Llama 4 Scout $0.08 $0.30328K
Llama 3.1 70B Instruct $0.34 $0.39131K
Llama 3.2 90B Vision Instruct $0.90 $0.90128K
Llama 3.1 8B Instruct $0.02 $0.0516K
Llama 3.2 3B Instruct $0.03 $0.0580K
Llama 2 7B Chat $0.20 $0.204K
Llama 3 70B Instruct $0.51 $0.748K
Llama 3.2 11B Vision Instruct $0.06 $0.06131K
Llama 2 13B Chat $0.20 $0.204K
Llama 2 70B $0.90 $0.904K
Llama 3 8B Instruct $0.04 $0.048K
Llama 3.2 1B Instruct $0.02 $0.0260K
Llama 3 8B $0.05 $0.088K
Llama 3.2 1B $0.10 $0.10131K
Llama 3.2 3B $0.10 $0.10131K
Code Llama 7B Instruct $0.20 $0.2016K
Code Llama 13B $0.20 $0.2016K
Code Llama 13B Instruct $0.20 $0.2016K
Code Llama 13B Python $0.20 $0.2016K
Code Llama 7B $0.20 $0.2016K
Llama 2 13B $0.20 $0.204K
Llama 2 7B $0.20 $0.204K
Llama 3 8B Instruct (HF) $0.20 $0.208K
Llama 3.3 Swallow 70B Instruct v0.4 $0.60 $1.20131K
Llama 3.1 70B $0.72 $0.72131K
Code Llama 34B Instruct $0.78 $0.7816K
Code Llama 34B $0.90 $0.9016K
Code Llama 34B Python $0.90 $0.9016K
Code Llama 70B $0.90 $0.904K
Code Llama 70B Instruct $0.90 $0.904K
Code Llama 70B Python $0.90 $0.904K
Phind CodeLlama 34B Python v1 $0.90 $0.9016K
Phind CodeLlama 34B v1 $0.90 $0.9016K
Phind CodeLlama 34B v2 $0.90 $0.9016K
Llama 3.1 70B Instruct 1B $0.90 $0.90131K
Llama 3 70B Instruct (HF) $0.90 $0.908K
Llama 3.1 405B Instruct Long $0.90 $0.901.0M
Llama 2 70B Chat $1.95 $2.564K
Llama 3.1 405B (base) $4.00 $4.0033K

Benchmark Comparison

Best Scores by Provider

BenchmarkDeepseekMeta-llama
Intelligence
39.3
DeepSeek V4 Pro
18.4
Llama 4 Maverick
Coding
38.4
DeepSeek V4 Pro
15.6
Llama 4 Maverick
Math
96.7
DeepSeek V3.2 Speciale
19.3
Llama 4 Maverick
MMLU Pro
86.3
DeepSeek V3.2 Speciale
80.9
Llama 4 Maverick
GPQA
87.1
DeepSeek V3.2 Speciale
67.1
Llama 4 Maverick
LiveCodeBench
89.6
DeepSeek V3.2 Speciale
39.7
Llama 4 Maverick
Aider
74.2
DeepSeek V3.2 Exp
66.2
Llama 3.1 405B Instruct
AIME
89.3
R1 0528
39.0
Llama 4 Maverick

Capabilities

CapabilityDeepseekMeta-llama
Vision✓ (4 models)
Tool Calls✓ (18 models)✓ (14 models)
Reasoning✓ (15 models)
Audio Input
Audio Output
PDF Input
Web Search
Prompt Caching✓ (6 models)
Open Source Models✓ (18 models)✓ (42 models)

Model-Level Comparisons

Compare specific models head-to-head:

Frequently Asked Questions

Deepseek has 24 models while Meta-llama has 42 models available through API providers.
Deepseek's cheapest model starts at $0.01/M input tokens, while Meta-llama's cheapest starts at $0.02/M input tokens.
It depends on your needs. Compare specific models from each provider using the head-to-head comparisons above. Consider factors like pricing, benchmark performance, context window size, and supported capabilities.