Can I run Kimi K2 0711 or Llama 3.2 3B 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 Kimi K2 0711 and Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct has a larger context window at 131K tokens vs 131K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Kimi K2 0711 vs Llama 3.2 3B 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.

Moonshot

Model

Kimi K2 0711

Tool calling

Best $0.500 in · $2.00 out

Context window 131K

Pricing

MetaLlama 3.2

Model

Llama 3.2 3B Instruct

Tool calling

Best $0.020 in · $0.020 out

Context window 131K

Pricing

Llama 3.2 3B Instruct is cheaper across the board — 96% cheaper on input and 99% 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	Kimi K2 0711 in	Kimi K2 0711 out	Llama 3.2 3B Instruct in	Llama 3.2 3B Instruct out
Cloudflare	N/A	N/A	$0.051	$0.335
DeepInfra	$0.500	$2.00	$0.020	$0.020
Fireworks AI	$0.600	$2.50	N/A	N/A
Hyperbolic	$2.00	$2.00	$0.120	$0.300
Ibm Watsonx	N/A	N/A	$0.150	$0.150
Llamagate	N/A	N/A	$0.040	$0.080
Novita	$0.570	$2.30	$0.030	$0.050
Openrouter	$0.570	$2.30	$0.050	$0.330
Together AI	$1.00	$3.00	N/A	N/A
Vercel Ai Gateway	$0.550	$2.20	$0.150	$0.150
Wandb	$0.600	$2.50	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 · Moonshot · 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.

Moonshot · 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

Kimi K2 0711

Llama 3.2 3B Instruct

Context window: 131,072 tokens; 131,072 tokens
Max output tokens: 131,072 tokens; 131,072 tokens
Vision: No; No
Function calling: Yes; Yes
Streaming: No; No
Release date: Jul 2025; N/A

Cost calculator

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

Kimi K2 0711

Llama 3.2 3B Instruct

Requests / day

Input tokens

Output tokens

Kimi K2 0711

Monthly

$450

Annual

$5.5K

Llama 3.2 3B Instruct

Monthly

$65

Annual

$785

Save $386/month with Llama 3.2 3B Instruct

When to pick which

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

High-volume text generation
Use Llama 3.2 3B Instruct. Output tokens are 99% cheaper, which compounds significantly at scale.

Frequently asked questions

Llama 3.2 3B Instruct is cheaper on both input and output tokens.

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