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

Meta-llama vs Microsoft

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

108 out of our 483 tracked models have had a price change in March.

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Overview

Meta-llama

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

Microsoft

Models
7
Cheapest Input
$0.05
Max Context
131K
Top Intelligence
33.1

Flagship Model Comparison

Llama 4 MaverickvsWizardLM-2 8x22B
MetricLlama 4 MaverickWizardLM-2 8x22B
Input $/1M tokens$0.15$0.62
Output $/1M tokens$0.60$0.62
Context Window1.0M66K
Intelligence18.433.1
Coding15.6N/A
Math19.3N/A
Full comparison →

All Models Pricing

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 3 70B Instruct $0.51 $0.748K
Llama 3.2 11B Vision Instruct $0.05 $0.05131K
Llama 2 70B $0.90 $0.904K
Llama 3 8B Instruct $0.03 $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 13B Chat $0.20 $0.204K
Llama 2 7B Chat $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
Llama 3.1 405B Instruct Long $0.90 $0.901.0M
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 2 70B Chat $1.95 $2.564K
Llama 3.1 405B (base) $4.00 $4.0033K

Microsoft Models

ModelInput/1MOutput/1MContext
WizardLM-2 8x22B $0.62 $0.6266K
Phi-3 Medium 128K Instruct $1.00 $1.00128K
Phi-3 Mini 128K Instruct $0.10 $0.10128K
Phi 4 $0.06 $0.1416K
Phi 4 Multimodal Instruct $0.05 $0.10131K
Phi 4 Reasoning Plus $0.07 $0.3532K
Phi-3.5 Mini 128K Instruct $0.10 $0.10128K

Benchmark Comparison

Best Scores by Provider

BenchmarkMeta-llamaMicrosoft
Intelligence
18.4
Llama 4 Maverick
33.1
WizardLM-2 8x22B
Coding
15.6
Llama 4 Maverick
11.2
Phi 4
Math
19.3
Llama 4 Maverick
18.0
Phi 4
MMLU Pro
80.9
Llama 4 Maverick
71.4
Phi 4
GPQA
67.1
Llama 4 Maverick
57.5
Phi 4
LiveCodeBench
39.7
Llama 4 Maverick
23.1
Phi 4
Aider
66.2
Llama 3.1 405B Instruct
44.4
WizardLM-2 8x22B
AIME
39.0
Llama 4 Maverick
14.3
Phi 4
BBH
N/A
48.6
WizardLM-2 8x22B

Capabilities

CapabilityMeta-llamaMicrosoft
Vision✓ (4 models)✓
Tool Calls✓ (14 models)✓ (7 models)
Reasoning—✓ (2 models)
Audio Input——
Audio Output——
PDF Input——
Web Search——
Prompt Caching——
Open Source Models✓ (42 models)✓ (7 models)

Model-Level Comparisons

Compare specific models head-to-head:

Llama 4 MaverickvsWizardLM-2 8x22B
Llama 4 MaverickvsPhi-3 Medium 128K Instruct
Llama 4 MaverickvsPhi-3 Mini 128K Instruct
Llama 3.1 405B InstructvsWizardLM-2 8x22B
Llama 3.1 405B InstructvsPhi-3 Medium 128K Instruct
Llama 3.1 405B InstructvsPhi-3 Mini 128K Instruct
Llama 3.3 70B InstructvsWizardLM-2 8x22B
Llama 3.3 70B InstructvsPhi-3 Medium 128K Instruct
Llama 3.3 70B InstructvsPhi-3 Mini 128K Instruct

Frequently Asked Questions

Meta-llama has 42 models while Microsoft has 7 models available through API providers.
Meta-llama's cheapest model starts at $0.02/M input tokens, while Microsoft's cheapest starts at $0.05/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.

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