Qwen Plus vs Databricks Llama 3.1 405B

Performance benchmarks + pricing comparison — updated April 2026

Qwen Plus

Qwen

Balanced Qwen model for general tasks. Good price-performance ratio.

Input$0.400/M
Output$1.20/M
Context128K tokens
Best ForGeneral-purpose tasks, bilingual coding
Benchmark55/100

Databricks Llama 3.1 405B

Databricks

Meta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.

Input$5.00/M
Output$15.00/M
Context128K tokens
Best ForEnterprise AI, complex reasoning, custom fine-tuning

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioQwen PlusDatabricks Llama 3.1 405BSavings
Small Script (1K lines) $0.05 $0.63 Qwen Plus saves $0.57 (92%)
Medium Feature (10K lines) $0.38 $4.75 Qwen Plus saves $4.37 (92%)
Large Project (50K lines) $1.90 $23.75 Qwen Plus saves $21.85 (92%)
Code Review (5K lines) $0.10 $1.25 Qwen Plus saves $1.15 (92%)

Verdict

Qwen Plus wins on both price and performance — $0.400/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models