Can I run Ft Babbage 002 or Llama 3 70B Instruct cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Ft Babbage 002 and Llama 3 70B Instruct?

Ft Babbage 002 has a larger context window at 16K tokens vs 8K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Ft Babbage 002 vs Llama 3 70B Instruct

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

Other

Model

Ft Babbage 002

Best $1.60 in · $1.60 out

Context window 16K

Pricing

MetaLlama 3

Model

Llama 3 70B Instruct

Best $0.510 in · $0.740 out

Context window 8K

Pricing

Llama 3 70B Instruct is cheaper across the board — 68% cheaper on input and 53% cheaper on output.

Estimate cost

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

Provider	Ft Babbage 002 in	Ft Babbage 002 out	Llama 3 70B Instruct in	Llama 3 70B Instruct out
Novita	N/A	N/A	$0.510	$0.740
Openrouter	N/A	N/A	$0.510	$0.740
Replicate	N/A	N/A	$0.650	$2.75
Text Completion Openai	$1.60	$1.60	N/A	N/A
Vercel Ai Gateway	N/A	N/A	$0.590	$0.790

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Other · Meta

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Other · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Meta · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec

Ft Babbage 002

Llama 3 70B Instruct

Context window: 16,384 tokens; 8,192 tokens
Max output tokens: 4,096 tokens; 8,000 tokens
Vision: No; No
Function calling: No; No
Streaming: No; No
Release date: N/A; Apr 2024

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Ft Babbage 002

Llama 3 70B Instruct

Requests / day

Input tokens

Output tokens

Ft Babbage 002

Monthly

$720

Annual

$8.8K

Llama 3 70B Instruct

Monthly

$264

Annual

$3.2K

Save $456/month with Llama 3 70B Instruct

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

Long-context tasks
Use Ft Babbage 002. Its 16K context window handles large codebases and documents better than 8K.
High-volume text generation
Use Llama 3 70B Instruct. Output tokens are 53% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Llama 3 70B Instruct. Its 8K max output limit reduces the need to split requests.

Frequently asked questions

Llama 3 70B Instruct is cheaper on both input and output tokens.

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