Can I run Llama 3.1 70B or Qwerky Qwq 32b 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 70B and Qwerky Qwq 32b?

Llama 3.1 70B has a larger context window at 128K tokens vs 32K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3.1 70B vs Qwerky Qwq 32b

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 70B

Tool calling

Best $0.400 in · $0.400 out

Context window 128K

Pricing

Featherless Ai

Model

Qwerky Qwq 32b

Best N/A in · N/A out

Context window 33K

Pricing

Qwerky Qwq 32b is cheaper across the board — 100% cheaper on input and 100% 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 70B in	Llama 3.1 70B out	Qwerky Qwq 32b in	Qwerky Qwq 32b out
DeepInfra	$0.520	$0.750	N/A	N/A
Featherless	N/A	N/A	N/A	N/A
Fireworks AI	$0.900	$0.900	N/A	N/A
Groq	$0.590	$0.790	N/A	N/A
Openrouter	$0.400	$0.400	N/A	N/A
Perplexity	$1.00	$1.00	N/A	N/A
Together AI	$0.880	$0.880	N/A	N/A
Vercel Ai Gateway	$0.720	$0.720	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 70B

Qwerky Qwq 32b

Context window: 128,000 tokens; 32,768 tokens
Max output tokens: 4,096 tokens; 4,096 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 70B

Qwerky Qwq 32b

Requests / day

Input tokens

Output tokens

Llama 3.1 70B

Monthly

$324

Annual

$3.9K

Qwerky Qwq 32b

Monthly

$0.0000

Annual

$0.0000

Save $324/month with Qwerky Qwq 32b

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 32K.

Frequently asked questions

Qwerky Qwq 32b is cheaper on both input and output tokens.

More comparisons

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