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Model comparison · Updated 17 Aug 2026

Command R7B (12-2024) vs Llama 3.2 1B Instruct

Llama 3.2 1B Instruct is about 1.4× cheaper on input ($0.03 against $0.04 per 1M tokens), though Command R7B (12-2024) is cheaper on output. Command R7B (12-2024) has the larger context window (128K against 60K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.38 a month for Command R7B (12-2024) and $30.24 for Llama 3.2 1B Instruct.

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ModelsAtlas. “Command R7B (12-2024) vs Llama 3.2 1B Instruct”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/cohere/command-r7b-12/vs/meta/llama-3-2-1b-instruct

Model A

Command R7B (12-2024)

by Cohere · weights not marked open · GRIDB2

Input / 1M
$0.04
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.15
Context128K
vs

Model B

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

Key numbers

Standard tier · highlighted = better

Command R7B (12-2024)
Llama 3.2 1B Instruct
Input / 1M tokens
$0.04
$0.03
Output / 1M tokens
$0.15
$0.20
Batch input / output
Not listed
Not listed
Context window
128,000
60,000
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
$30.38/mo
$30.24/mo
RAG over documents2k queries/day · 12k in, 500 out
$31.50/mo
$25.47/mo
Coding agent300 tasks/day · 60k in, 8k out
$31.05/mo
$29.05/mo

Command R7B (12-2024)   Llama 3.2 1B Instruct · 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)

Same square. Command R7B (12-2024) and Llama 3.2 1B Instruct share B2.

Same square as Command R7B (12-2024): Mistral Small 3 ($0.05). Open B2

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 valueMistral Small 3 · B2gpt-oss-120b · B3Mistral Nemo · B3Gemma 3 12B · B3Gemma 3 4B · B3gpt-oss-20b · B3Command R7B (12-2024)Command R7B (12-2024)Llama 3.2 1B InstructLlama 3.2 1B Instruct
Command R7B (12-2024)Llama 3.2 1B InstructNearest neighboursOpen weights
View the map as a table (2 squares)
SquarePrice bandContext bandModels
GRIDB2<$0.1032–128KCommand R7B (12-2024), Llama 3.2 1B Instruct, Mistral Small 3
GRIDB3<$0.10128–256Kgpt-oss-120b, Mistral Nemo, Gemma 3 12B, Gemma 3 4B, gpt-oss-20b

Capabilities side by side

Only what our records list

Command R7B (12-2024)
Llama 3.2 1B Instruct
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 Command R7B (12-2024) if…

  • output dominates your bill: $0.15 per 1M output against $0.20
  • your prompts are long: it takes 128,000 tokens against 60,000

Choose Llama 3.2 1B Instruct if…

  • you pay by the token: it costs $0.03 per 1M input against $0.04

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 Command R7B (12-2024) better than Llama 3.2 1B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: Llama 3.2 1B Instruct is about 1.4× cheaper on input ($0.03 against $0.04 per 1M tokens), though Command R7B (12-2024) is cheaper on output. Command R7B (12-2024) has the larger context window (128K against 60K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.38 a month for Command R7B (12-2024) and $30.24 for Llama 3.2 1B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Command R7B (12-2024) or Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct: $0.03 against $0.04 per 1M input tokens, and $0.20 against $0.15 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Command R7B (12-2024): $0.04 input and $0.15 output. Llama 3.2 1B Instruct: $0.03 input and $0.20 output. Standard tier, USD.
Which has the larger context window?
Command R7B (12-2024), with 128,000 tokens. Llama 3.2 1B Instruct has 60,000 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Command R7B (12-2024): none recorded. For Llama 3.2 1B Instruct: 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?
Command R7B (12-2024): not marked open-weight in our records. Llama 3.2 1B Instruct: 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 $30.38 a month for Command R7B (12-2024) and $30.24 for Llama 3.2 1B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

Command R7B (12-2024)

By Cohere. $0.04 input and $0.15 output per 1M tokens, 128K context, atlas square B2. Tiers listed: standard.

Full specs & pricing →

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 →

Compare Command R7B (12-2024) with…

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