Can I run Llama 3.1 8B or Mistral Nemo 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 Mistral Nemo?

Mistral Nemo has a larger context window at 131K tokens vs 128K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3.1 8B vs Mistral Nemo

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

Mistral AI

Model

Mistral Nemo

Tool calling

Best $0.020 in · $0.040 out

Context window 131K

Pricing

Mistral Nemo is 33% cheaper on input. Llama 3.1 8B is 25% 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 3.1 8B in	Llama 3.1 8B out	Mistral Nemo in	Mistral Nemo out
Azure	N/A	N/A	$0.150	$0.150
DeepInfra	$0.060	$0.060	N/A	N/A
Fireworks AI	$0.200	$0.200	N/A	N/A
Groq	$0.050	$0.080	N/A	N/A
Llamagate	$0.030	$0.050	N/A	N/A
Novita	$0.020	$0.050	$0.040	$0.170
Nscale	$0.030	$0.030	N/A	N/A
Openrouter	$0.020	$0.050	$0.020	$0.040
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 · Mistral AI

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).

Mistral AI · 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

Llama 3.1 8B

Mistral Nemo

Context window: 128,000 tokens; 131,072 tokens
Max output tokens: 4,096 tokens; 4,096 tokens
Vision: No; No
Function calling: Yes; Yes
Streaming: Yes; No
Release date: Jul 2024; Jul 2024

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

Mistral Nemo

Requests / day

Input tokens

Output tokens

Llama 3.1 8B

Monthly

$14

Annual

$164

Mistral Nemo

Monthly

$12

Annual

$146

Save $1.50/month with Mistral Nemo

When to pick which

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

Long-context tasks
Use Mistral Nemo. Its 131K context window handles large codebases and documents better than 128K.
High-volume text generation
Use Llama 3.1 8B. Output tokens are 25% cheaper, which compounds significantly at scale.

Frequently asked questions

Mistral Nemo is cheaper on input tokens, while Llama 3.1 8B is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

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