API cost decision in 10 seconds

Llama 3.1 8B Instruct vs Llama 3 8B Lunaris

Pick Llama 3.1 8B Instruct when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Llama 3.1 8B Instruct when budget and context both matter.

On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.07 for Llama 3 8B Lunaris, saving $0.02 (30.8% lower).

Cost-first pickLlama 3.1 8B Instruct
Context-first pickLlama 3.1 8B Instruct
Sample savings$0.0230.8%
10x traffic gap$0.2

Llama 3.1 8B Instruct is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.2. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Llama 3.1 8B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLlama 3.1 8B InstructLlama 3 8B Lunaris
Input-heavy / RAG5M input + 500K outputLlama 3.1 8B Instruct$0.12$0.23
Balanced workload1M input + 1M outputLlama 3.1 8B Instruct$0.07$0.09
Output-heavy chatbot1M input + 5M outputLlama 3.1 8B Instruct$0.27$0.29
Cheaper input Llama 3.1 8B Instruct $0.02 vs $0.04 / 1M

Llama 3.1 8B Instruct is $0.02 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Tie $0.05 vs $0.05 / 1M

Both models report the same output price at $0.05 per 1M tokens.

Larger context Llama 3.1 8B Instruct 131.07K vs 8.19K

Llama 3.1 8B Instruct has 122.88K more context (16x larger).

Sample workload Llama 3.1 8B Instruct $0.04 vs $0.07

Llama 3.1 8B Instruct is $0.02 cheaper on the standard workload (30.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Llama 3.1 8B Instruct Calculating… Estimated API cost
Llama 3 8B Lunaris Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Llama 3.1 8B Instruct has the lower input price; both models tie on output price; Llama 3.1 8B Instruct offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 8B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Llama 3.1 8B Instruct and $0.07 for Llama 3 8B Lunaris.

Best Fit

Choose Llama 3.1 8B Instruct when you care most about lower input-token price, and larger context window.

Choose Llama 3 8B Lunaris when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.07 for Llama 3 8B Lunaris, saving $0.02 (30.8% lower).
  • Llama 3.1 8B Instruct is $0.02 cheaper on the standard workload (30.8% lower).
  • Llama 3.1 8B Instruct is $0.02 cheaper per 1M input tokens (50% lower; 2x difference).
  • Both models report the same output price at $0.05 per 1M tokens.
  • Llama 3.1 8B Instruct has 122.88K more context (16x larger).
Head-to-Head Specs
FeatureLlama 3.1 8B Instruct
(Meta)
Llama 3 8B Lunaris
(Sao10K)
Input Price
prompt tokens per 1M
$0.02$0.04
Completion Price
per 1M tokens
$0.05$0.05
Sample Workload Cost
1M input + 500K output
$0.04$0.07
Context Window131.07K8.19K
Release Date
Popularity#40#115

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLlama 3.1 8B InstructOn the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.07 for Llama 3 8B Lunaris, saving $0.02 (30.8% lower).
High-volume input processingLlama 3.1 8B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTieLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLlama 3.1 8B InstructA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Meta catalog

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Sao10K catalog

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