Compare

Llama 3.1 8B vs Llama 4 Maverick 17b 128e Instruct Fp8

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.

Meta

Model

Llama 3.1 8B

Tool calling

Best $0.020 in · $0.030 out

Context window 128K

Pricing
Meta

Model

Llama 4 Maverick 17b 128e Instruct Fp8

Tool calling

Best $0.050 in · $0.100 out

Context window 1.0M

Pricing

Llama 4 Maverick 17b 128e Instruct Fp8 is cheaper across the board — 100% cheaper on input and 100% cheaper on output.

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.

ProviderLlama 3.1 8B inLlama 3.1 8B outLlama 4 Maverick 17b 128e Instruct Fp8 inLlama 4 Maverick 17b 128e Instruct Fp8 out
AzureN/AN/A$1.41$0.350
DeepInfra$0.060$0.060$0.150$0.600
Fireworks AI$0.200$0.200N/AN/A
Groq$0.050$0.080N/AN/A
LambdaN/AN/A$0.050$0.100
Llamagate$0.030$0.050N/AN/A
MetaN/AN/AN/AN/A
Novita$0.020$0.050$0.270$0.850
Nscale$0.030$0.030N/AN/A
Openrouter$0.020$0.050N/AN/A
Ovhcloud$0.100$0.100N/AN/A
Perplexity$0.200$0.200N/AN/A
Together AI$0.180$0.180$0.270$0.850
Vercel Ai Gateway$0.050$0.080N/AN/A
Wandb$22000.00$22000.00N/AN/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
Llama 4 Maverick 17b 128e Instruct Fp8
Context window
128,000 tokens
1,048,576 tokens
Max output tokens
4,096 tokens
1,048,576 tokens
Vision
No
No
Function calling
Yes
Yes
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
Monthly
$14
Annual
$164
Llama 4 Maverick 17b 128e Instruct Fp8
Monthly
$476
Annual
$5.8K
Save $462/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 4 Maverick 17b 128e Instruct Fp8. Its 1048K context window handles large codebases and documents better than 128K.

  • Long output (reports, code files)

    Use Llama 4 Maverick 17b 128e Instruct Fp8. Its 1048K max output limit reduces the need to split requests.

Frequently asked questions

Llama 4 Maverick 17b 128e Instruct Fp8 is cheaper on both input and output tokens.

More comparisons

Other popular head-to-head matchups.