Can I run GPT-3.5 Turbo or Meta Llama 3 8b 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 GPT-3.5 Turbo and Meta Llama 3 8b?

GPT-3.5 Turbo has a larger context window at 16K tokens vs 8K. This matters for long documents, large codebases, and extended conversation histories.

Compare

GPT-3.5 Turbo vs Meta Llama 3 8b

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.

OpenAI

Model

GPT-3.5 Turbo

Tool calling

Best $0.500 in · $1.50 out

Context window 16K

Pricing

MetaLlama 3

Model

Meta Llama 3 8b

Best $0.030 in · $0.060 out

Context window 8K

Pricing

Meta Llama 3 8b is cheaper across the board — 94% cheaper on input and 96% 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	GPT-3.5 Turbo in	GPT-3.5 Turbo out	Meta Llama 3 8b in	Meta Llama 3 8b out
Anyscale	N/A	N/A	$0.150	$0.150
Azure	$0.500	$1.50	N/A	N/A
DeepInfra	N/A	N/A	$0.030	$0.060
Github Copilot	N/A	N/A	N/A	N/A
OpenAI	$0.500	$1.50	N/A	N/A
Openrouter	$1.50	$2.00	N/A	N/A
Text Completion Openai	$1.50	$2.00	N/A	N/A
Vercel Ai Gateway	$0.500	$1.50	N/A	N/A

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 · OpenAI · 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.

OpenAI · 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

GPT-3.5 Turbo

Meta Llama 3 8b

Context window: 16,385 tokens; 8,192 tokens
Max output tokens: 4,096 tokens; 8,192 tokens
Vision: No; No
Function calling: Yes; No
Streaming: No; No
Release date: May 2023; N/A

Cost calculator

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

GPT-3.5 Turbo

Meta Llama 3 8b

Requests / day

Input tokens

Output tokens

GPT-3.5 Turbo

Monthly

$375

Annual

$4.6K

Meta Llama 3 8b

Monthly

$68

Annual

$821

Save $308/month with Meta Llama 3 8b

When to pick which

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

Long-context tasks
Use GPT-3.5 Turbo. Its 16K context window handles large codebases and documents better than 8K.
High-volume text generation
Use Meta Llama 3 8b. Output tokens are 96% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Meta Llama 3 8b. Its 8K max output limit reduces the need to split requests.

Frequently asked questions

Meta Llama 3 8b is cheaper on both input and output tokens.

More comparisons

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