Can I run Llama 3 1 8b Instruct Fast or Mistral 7B 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 Instruct Fast and Mistral 7B?

Llama 3 1 8b Instruct Fast has a larger context window at 131K tokens vs 32K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3 1 8b Instruct Fast vs Mistral 7B

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 Instruct Fast

Tool calling

Best $0.150 in · $0.280 out

Context window 131K

Pricing

Mistral AIMistral

Model

Mistral 7B

Best $0.070 in · $0.130 out

Context window 32K

Pricing

Llama 3 1 8b Instruct Fast is 40% cheaper on input. Mistral 7B is 10% 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 Instruct Fast in	Llama 3 1 8b Instruct Fast out	Mistral 7B in	Mistral 7B out
Fireworks AI	N/A	N/A	$0.200	$0.200
Mistral AI	N/A	N/A	$0.250	$0.250
Openrouter	N/A	N/A	$0.130	$0.130
Perplexity	N/A	N/A	$0.070	$0.280
Snowflake	N/A	N/A	N/A	N/A
Together AI	N/A	N/A	$0.200	$0.200
Zerogpu	$0.150	$0.280	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 Instruct Fast

Mistral 7B

Context window: 131,072 tokens; 32,000 tokens
Max output tokens: 8,192 tokens; 4,096 tokens
Vision: No; No
Function calling: Yes; No
Streaming: No; Yes
Release date: N/A; Sep 2023

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 Instruct Fast

Mistral 7B

Requests / day

Input tokens

Output tokens

Llama 3 1 8b Instruct Fast

Monthly

$87

Annual

$1.1K

Mistral 7B

Monthly

$90

Annual

$1.1K

Save $3.00/month with Llama 3 1 8b Instruct Fast

When to pick which

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

Long-context tasks
Use Llama 3 1 8b Instruct Fast. Its 131K context window handles large codebases and documents better than 32K.
High-volume text generation
Use Mistral 7B. Output tokens are 10% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Llama 3 1 8b Instruct Fast. Its 8K max output limit reduces the need to split requests.

Frequently asked questions

Llama 3 1 8b Instruct Fast is cheaper on input tokens, while Mistral 7B is cheaper on output. The best choice depends on your input/output ratio.

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