Can I run Llama 2 13b or Llama 3.1 70B 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 Llama 2 13b and Llama 3.1 70B?

Llama 3.1 70B has a larger context window at 128K tokens vs 4K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 2 13b vs Llama 3.1 70B

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.

Llama 2 13b

Best $0.100 in · $0.500 out

Context window 4K

Pricing

MetaLlama 3.1

Model

Llama 3.1 70B

Tool calling

Best $0.400 in · $0.400 out

Context window 128K

Pricing

Llama 2 13b is 75% cheaper on input. Llama 3.1 70B is 19% cheaper on output. The best choice depends on your input/output ratio.

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	Llama 2 13b in	Llama 2 13b out	Llama 3.1 70B in	Llama 3.1 70B out
DeepInfra	N/A	N/A	$0.520	$0.750
Fireworks AI	N/A	N/A	$0.900	$0.900
Groq	N/A	N/A	$0.590	$0.790
Openrouter	N/A	N/A	$0.400	$0.400
Perplexity	N/A	N/A	$1.00	$1.00
Replicate	$0.100	$0.500	N/A	N/A
Together AI	N/A	N/A	$0.880	$0.880
Vercel Ai Gateway	N/A	N/A	$0.720	$0.720

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 · 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.

Meta · 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).

Specifications

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

Spec

Llama 2 13b

Llama 3.1 70B

Context window: 4,096 tokens; 128,000 tokens
Max output tokens: 4,096 tokens; 4,096 tokens
Vision: No; No
Function calling: No; Yes
Streaming: No; Yes
Release date: N/A; Jul 2024

Cost calculator

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

Llama 2 13b

Llama 3.1 70B

Requests / day

Input tokens

Output tokens

Llama 2 13b

Monthly

$105

Annual

$1.3K

Llama 3.1 70B

Monthly

$324

Annual

$3.9K

Save $219/month with Llama 2 13b

When to pick which

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

Long-context tasks
Use Llama 3.1 70B. Its 128K context window handles large codebases and documents better than 4K.
High-volume text generation
Use Llama 3.1 70B. Output tokens are 19% cheaper, which compounds significantly at scale.

Frequently asked questions

Llama 2 13b is cheaper on input tokens, while Llama 3.1 70B is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

Other popular head-to-head matchups.