Can I run Llama 3.1 8B or Phind Code Llama 34b 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 3.1 8B and Phind Code Llama 34b?

Llama 3.1 8B has a larger context window at 128K tokens vs 16K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3.1 8B vs Phind Code Llama 34b

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.

MetaLlama 3.1

Model

Llama 3.1 8B

Tool calling

Best $0.020 in · $0.030 out

Context window 128K

Pricing

MetaLlama 3

Model

Phind Code Llama 34b

Best $0.900 in · $0.900 out

Context window 16K

Pricing

Llama 3.1 8B is cheaper across the board — 96% 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	Llama 3.1 8B in	Llama 3.1 8B out	Phind Code Llama 34b in	Phind Code Llama 34b out
DeepInfra	$0.060	$0.060	N/A	N/A
Fireworks AI	$0.200	$0.200	$0.900	$0.900
Groq	$0.050	$0.080	N/A	N/A
Llamagate	$0.030	$0.050	N/A	N/A
Novita	$0.020	$0.050	N/A	N/A
Nscale	$0.030	$0.030	N/A	N/A
Openrouter	$0.020	$0.050	N/A	N/A
Ovhcloud	$0.100	$0.100	N/A	N/A
Perplexity	$0.200	$0.200	N/A	N/A
Together AI	$0.180	$0.180	N/A	N/A
Vercel Ai Gateway	$0.050	$0.080	N/A	N/A
Wandb	$22000.00	$22000.00	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 · 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 3.1 8B

Phind Code Llama 34b

Context window: 128,000 tokens; 16,384 tokens
Max output tokens: 4,096 tokens; 16,384 tokens
Vision: No; No
Function calling: Yes; No
Streaming: Yes; No
Release date: Jul 2024; N/A

Cost calculator

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

Llama 3.1 8B

Phind Code Llama 34b

Requests / day

Input tokens

Output tokens

Llama 3.1 8B

Monthly

$14

Annual

$164

Phind Code Llama 34b

Monthly

$405

Annual

$4.9K

Save $392/month with Llama 3.1 8B

When to pick which

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

Long-context tasks
Use Llama 3.1 8B. Its 128K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Llama 3.1 8B. Output tokens are 96% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Phind Code Llama 34b. Its 16K max output limit reduces the need to split requests.

Frequently asked questions

Llama 3.1 8B is cheaper on both input and output tokens.

More comparisons

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