Compare

Databricks Llama 4 Maverick vs Qwen3.5 397B A17B

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

Databricks Llama 4 Maverick

Best $0.500 in · $1.50 out

Context window 128K

Pricing
Alibaba

Model

Qwen3.5 397B A17B

Image inputTool calling

Best $0.600 in · $3.60 out

Context window 262K

Pricing

Databricks Llama 4 Maverick is cheaper across the board — 16% cheaper on input and 58% 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.

ProviderDatabricks Llama 4 Maverick inDatabricks Llama 4 Maverick outQwen3.5 397B A17B inQwen3.5 397B A17B out
Databricks$0.500$1.50N/AN/A
OpenrouterN/AN/A$0.600$3.60
Together AIN/AN/A$0.600$3.60

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 · Alibaba

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).

Alibaba · 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
Databricks Llama 4 Maverick
Qwen3.5 397B A17B
Context window
128,000 tokens
262,144 tokens
Max output tokens
128,000 tokens
65,536 tokens
Vision
No
Yes
Function calling
No
Yes
Streaming
No
No
Release date
N/A
Feb 2026

Cost calculator

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

Databricks Llama 4 Maverick
Monthly
$375
Annual
$4.6K
Qwen3.5 397B A17B
Monthly
$720
Annual
$8.8K
Save $345/month with Databricks Llama 4 Maverick

When to pick which

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

  • Long-context tasks

    Use Qwen3.5 397B A17B. Its 262K context window handles large codebases and documents better than 128K.

  • High-volume text generation

    Use Databricks Llama 4 Maverick. Output tokens are 58% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Databricks Llama 4 Maverick. Its 128K max output limit reduces the need to split requests.

Frequently asked questions

Databricks Llama 4 Maverick is cheaper on both input and output tokens.

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