Auto-generated comparison

meta-llama/Llama-3.1-8B-Instruct vs Microsoft: Phi 4

meta-llama/Llama-3.1-8B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

Capabilitymeta-llama/Llama-3.1-8B-InstructMicrosoft: Phi 4Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
16K16KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.02$0.07🏆 meta-llama/Llama-3.1-8B-Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.05$0.14🏆 meta-llama/Llama-3.1-8B-Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 meta-llama/Llama-3.1-8B-Instruct
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is meta-llama/Llama-3.1-8B-Instruct better than Microsoft: Phi 4?

meta-llama/Llama-3.1-8B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between meta-llama/Llama-3.1-8B-Instruct and Microsoft: Phi 4?

Input: $0.02 vs $0.07 per 1M tokens. Output: $0.05 vs $0.14 per 1M tokens.

What context windows do meta-llama/Llama-3.1-8B-Instruct and Microsoft: Phi 4 support?

meta-llama/Llama-3.1-8B-Instruct supports up to 16K tokens. Microsoft: Phi 4 supports up to 16K tokens.

Do both meta-llama/Llama-3.1-8B-Instruct and Microsoft: Phi 4 support tool calling?

meta-llama/Llama-3.1-8B-Instruct: yes. Microsoft: Phi 4: not advertised.

Compare meta-llama/Llama-3.1-8B-Instruct with other models

Compare Microsoft: Phi 4 with other models