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Llama 3.1 8B vs o1-mini

Compare Meta (via Together AI) and OpenAI AI models

Meta (via Together AI)
Llama 3.1 8B
vs
OpenAI
o1-mini

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Llama 3.1 8B

Per Request:$0.000270
Daily:$0.027
Monthly:$0.81
Yearly:$9.855

o1-mini

Per Request:$0.003300
Daily:$0.33
Monthly:$9.90
Yearly:$120.45

Cost Differences

+$0.003030
Per Request
+$0.303
Daily
+$9.09
Monthly
+$110.595
Yearly

o1-mini costs more than Llama 3.1 8B

Feature Comparison

FeatureLlama 3.1 8Bo1-mini
ProviderMeta (via Together AI)OpenAI
Input Price$0.18/1M tokens$1.10/1M tokens
Output Price$0.18/1M tokens$4.40/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output32,768 tokens65,536 tokens
Categoryefficientreasoning
Capabilities
textcode
textreasoning
Release Date7/23/20249/12/2024

Llama 3.1 8B vs o1-mini: Which Should You Choose?

Choosing between Llama 3.1 8B and o1-mini depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens84% cheaper than o1-mini.

These models come from different providers — Meta (via Together AI) and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Llama 3.1 8B is a efficient model while o1-mini is reasoning. This means they're optimized for different workloads. o1-mini targets more demanding workloads, while Llama 3.1 8B provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 3.1 8B charges $0.18/1M output tokens vs $4.40 for o1-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.

Best Use Cases

Choose Llama 3.1 8B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose o1-mini when:

  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Llama 3.1 8B (Meta (via Together AI))

o1-mini (OpenAI)

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Frequently Asked Questions

Which is cheaper, Llama 3.1 8B or o1-mini?
Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $1.10 for o1-mini — that's 84% savings on input costs.
What is the context window difference between Llama 3.1 8B and o1-mini?
Llama 3.1 8B supports 128,000 tokens while o1-mini supports 128,000 tokens — a difference of 0 tokens in favor of Llama 3.1 8B.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.1 8B is the lower-cost option, while Llama 3.1 8B offers a larger context window (128,000 vs 128,000 tokens). Choose Llama 3.1 8B for budget sensitivity or Llama 3.1 8B for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Llama 3.1 8B costs about $0.81/month and o1-mini costs about $9.90/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 out) vs o1-mini.

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