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Model comparison · Updated 17 Aug 2026

Llama 3.2 1B Instruct vs Phi 4

Llama 3.2 1B Instruct is about 2.6× cheaper on input ($0.03 against $0.07 per 1M tokens), though Phi 4 is cheaper on output. Llama 3.2 1B Instruct has the larger context window (60K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.24 a month for Llama 3.2 1B Instruct and $44.10 for Phi 4.

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ModelsAtlas. “Llama 3.2 1B Instruct vs Phi 4”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/meta/llama-3-2-1b-instruct/vs/microsoft/phi-4

Model A

Llama 3.2 1B Instruct

by Meta · weights not marked open · GRIDB2

Input / 1M
$0.03
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.20
Context60K
vs

Model B

Phi 4

by Microsoft · weights not marked open · GRIDB1

Input / 1M
$0.07
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.14
Context16K

Key numbers

Standard tier · highlighted = better

Llama 3.2 1B Instruct
Phi 4
Input / 1M tokens
$0.03
$0.07
Output / 1M tokens
$0.20
$0.14
Batch input / output
Not listed
Not listed
Context window
60,000
16,384
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-08-17
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$30.24/mo
$44.10/mo
RAG over documents2k queries/day · 12k in, 500 out
$25.47/mo
$54.60/mo
Coding agent300 tasks/day · 60k in, 8k out
$29.05/mo
$47.88/mo

Llama 3.2 1B Instruct   Phi 4 · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

1 square apart. Phi 4 (B1) sits 1 context band smaller than Llama 3.2 1B Instruct (B2).

Same square as Llama 3.2 1B Instruct: Command R7B (12-2024) ($0.04), Mistral Small 3 ($0.05). Open B2 · Open B1

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueCommand R7B (12-2024) · B2Mistral Small 3 · B2Mistral Nemo · B3gpt-oss-120b · B3gpt-oss-20b · B3Gemma 3 12B · B3gpt-oss-safeguard-20b · B3Gemma 3 27B · B3Qwen3 32B · B3Llama 3.2 1B InstructLlama 3.2 1B InstructPhi 4Phi 4
Llama 3.2 1B InstructPhi 4Nearest neighboursOpen weights
View the map as a table (3 squares)
SquarePrice bandContext bandModels
GRIDB1<$0.10<32KPhi 4
GRIDB2<$0.1032–128KLlama 3.2 1B Instruct, Command R7B (12-2024), Mistral Small 3
GRIDB3<$0.10128–256KMistral Nemo, gpt-oss-120b, gpt-oss-20b, Gemma 3 12B, gpt-oss-safeguard-20b, Gemma 3 27B, Qwen3 32B

Capabilities side by side

Only what our records list

Llama 3.2 1B Instruct
Phi 4
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose Llama 3.2 1B Instruct if…

  • you pay by the token: it costs $0.03 per 1M input against $0.07
  • your prompts are long: it takes 60,000 tokens against 16,384

Choose Phi 4 if…

  • output dominates your bill: $0.14 per 1M output against $0.20

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is Llama 3.2 1B Instruct better than Phi 4?
We do not benchmark quality, so we cannot say. On the recorded numbers: Llama 3.2 1B Instruct is about 2.6× cheaper on input ($0.03 against $0.07 per 1M tokens), though Phi 4 is cheaper on output. Llama 3.2 1B Instruct has the larger context window (60K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.24 a month for Llama 3.2 1B Instruct and $44.10 for Phi 4. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Llama 3.2 1B Instruct or Phi 4?
Llama 3.2 1B Instruct: $0.03 against $0.07 per 1M input tokens, and $0.20 against $0.14 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Llama 3.2 1B Instruct: $0.03 input and $0.20 output. Phi 4: $0.07 input and $0.14 output. Standard tier, USD.
Which has the larger context window?
Llama 3.2 1B Instruct, with 60,000 tokens. Phi 4 has 16,384 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Llama 3.2 1B Instruct: none recorded. For Phi 4: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
Llama 3.2 1B Instruct: not marked open-weight in our records. Phi 4: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $30.24 a month for Llama 3.2 1B Instruct and $44.10 for Phi 4. This is our calculation from the listed prices, not a quote.

About the two models

Llama 3.2 1B Instruct

By Meta. $0.03 input and $0.20 output per 1M tokens, 60K context, atlas square B2. Tiers listed: standard.

Full specs & pricing →

Phi 4

By Microsoft. $0.07 input and $0.14 output per 1M tokens, 16K context, atlas square B1. Tiers listed: standard.

Full specs & pricing →

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