Compare

Claude Sonnet 4.6 vs Databricks Meta Llama 3 1 8b

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.

Anthropic

Model

Claude Sonnet 4.6

Image inputTool calling

Best $2.80 in · $8.50 out

Context window 200K

Pricing
Meta

Model

Databricks Meta Llama 3 1 8b

Best $0.150 in · $0.450 out

Context window 200K

Pricing

Databricks Meta Llama 3 1 8b is cheaper across the board — 95% cheaper on input and 97% 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.

ProviderClaude Sonnet 4.6 inClaude Sonnet 4.6 outDatabricks Meta Llama 3 1 8b inDatabricks Meta Llama 3 1 8b out
Anthropic$3.00$15.00N/AN/A
Aws Bedrock$3.00$15.00N/AN/A
Azure$3.00$15.00N/AN/A
DatabricksN/AN/A$0.150$0.450
Fireworks AI$2.90$9.00N/AN/A
Google Vertex$3.00$15.00N/AN/A
Openrouter$3.00$15.00N/AN/A
Together AI$2.80$8.50N/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 · Anthropic · 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.

Anthropic · 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
Claude Sonnet 4.6
Databricks Meta Llama 3 1 8b
Context window
200,000 tokens
200,000 tokens
Max output tokens
8,192 tokens
128,000 tokens
Vision
Yes
No
Function calling
Yes
No
Streaming
Yes
No
Release date
Feb 2026
N/A

Cost calculator

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

Claude Sonnet 4.6
Monthly
$3.1K
Annual
$38.3K
Databricks Meta Llama 3 1 8b
Monthly
$113
Annual
$1.4K
Save $3.0K/month with Databricks Meta Llama 3 1 8b

When to pick which

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

  • High-volume text generation

    Use Databricks Meta Llama 3 1 8b. Output tokens are 97% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Databricks Meta Llama 3 1 8b. Its 128K max output limit reduces the need to split requests.

Frequently asked questions

Databricks Meta Llama 3 1 8b is cheaper on both input and output tokens.

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