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Model comparison · Updated 1 Sep 2026

Gemma 3 27B vs Llama 3.1 8B Instruct

Llama 3.1 8B Instruct is about 1.6× cheaper on input ($0.05 against $0.08 per 1M tokens) and on output. Both have a 131K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $76.50 a month for Gemma 3 27B and $29.70 for Llama 3.1 8B Instruct.

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ModelsAtlas. “Gemma 3 27B vs Llama 3.1 8B Instruct”. Retrieved 1 Sep 2026. https://modelsatlas.com/compare/google/gemma-3-27b-it/vs/meta/llama-3-1-8b-instruct

Model A

Gemma 3 27B

by Google · weights not marked open · GRIDB3

Input / 1M
$0.08
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.45
Context131K
vs

Model B

Llama 3.1 8B Instruct

by Meta · weights not marked open · GRIDB3

Input / 1M
$0.05
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.08
Context131K

Key numbers

Standard tier · highlighted = better

Gemma 3 27B
Llama 3.1 8B Instruct
Input / 1M tokens
$0.08
$0.05
Output / 1M tokens
$0.45
$0.08
Batch input / output
Not listed
Not listed
Context window
131,072
131,072
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-09-01
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$76.50/mo
$29.70/mo
RAG over documents2k queries/day · 12k in, 500 out
$71.10/mo
$38.40/mo
Coding agent300 tasks/day · 60k in, 8k out
$75.60/mo
$32.76/mo

Gemma 3 27B   Llama 3.1 8B 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. Gemma 3 27B and Llama 3.1 8B Instruct share B3.

Same square as Gemma 3 27B: gpt-oss-20b ($0.02), Mistral Nemo ($0.03), gpt-oss-120b ($0.03). Open B3

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 valueQwen3 32B · B3gpt-oss-safeguard-20b · B3Mistral Small 3.2 24B · B3Gemma 3 12B · B3Gemma 3 4B · B3Llama 3.2 3B Instruct · B3Gemma 3 27BGemma 3 27BLlama 3.1 8B InstructLlama 3.1 8B Instruct
Gemma 3 27BLlama 3.1 8B InstructNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDB3<$0.10128–256KGemma 3 27B, Llama 3.1 8B Instruct, Qwen3 32B, gpt-oss-safeguard-20b, Mistral Small 3.2 24B, Gemma 3 12B, Gemma 3 4B, Llama 3.2 3B Instruct

Capabilities side by side

Only what our records list

Gemma 3 27B
Llama 3.1 8B 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 Gemma 3 27B if…

Nothing in the recorded numbers favours Gemma 3 27B over Llama 3.1 8B Instruct. Pick it for what our records do not cover — your own tests, or an account you already have with Google.

Choose Llama 3.1 8B Instruct if…

  • you pay by the token: it costs $0.05 per 1M input against $0.08
  • output dominates your bill: $0.08 per 1M output against $0.45

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 Gemma 3 27B better than Llama 3.1 8B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: Llama 3.1 8B Instruct is about 1.6× cheaper on input ($0.05 against $0.08 per 1M tokens) and on output. Both have a 131K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $76.50 a month for Gemma 3 27B and $29.70 for Llama 3.1 8B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Gemma 3 27B or Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct: $0.05 against $0.08 per 1M input tokens, and $0.08 against $0.45 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Gemma 3 27B: $0.08 input and $0.45 output. Llama 3.1 8B Instruct: $0.05 input and $0.08 output. Standard tier, USD.
Which has the larger context window?
Neither: both have 131,072 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Gemma 3 27B: none recorded. For Llama 3.1 8B 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?
Gemma 3 27B: not marked open-weight in our records. Llama 3.1 8B 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 $76.50 a month for Gemma 3 27B and $29.70 for Llama 3.1 8B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

Gemma 3 27B

By Google. $0.08 input and $0.45 output per 1M tokens, 131K context, atlas square B3. Tiers listed: standard.

Full specs & pricing →

Llama 3.1 8B Instruct

By Meta. $0.05 input and $0.08 output per 1M tokens, 131K context, atlas square B3. Tiers listed: standard.

Full specs & pricing →

Compare Llama 3.1 8B Instruct with…

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