Qwen Turbo vs Databricks Llama 3.1 405B
Performance benchmarks + pricing comparison — updated April 2026
Qwen Turbo
QwenFastest and cheapest Qwen model. Good for high-volume tasks.
| Input | $0.080/M |
| Output | $0.240/M |
| Context | 1M tokens |
| Best For | High-volume tasks, simple coding |
| Benchmark | 42/100 |
Databricks Llama 3.1 405B
DatabricksMeta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.
| Input | $5.00/M |
| Output | $15.00/M |
| Context | 128K tokens |
| Best For | Enterprise 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.
| Scenario | Qwen Turbo | Databricks Llama 3.1 405B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.01 | $0.63 | Qwen Turbo saves $0.61 (98%) |
| Medium Feature (10K lines) | $0.08 | $4.75 | Qwen Turbo saves $4.67 (98%) |
| Large Project (50K lines) | $0.38 | $23.75 | Qwen Turbo saves $23.37 (98%) |
| Code Review (5K lines) | $0.02 | $1.25 | Qwen Turbo saves $1.23 (98%) |
Verdict
Qwen Turbo wins on both price and performance — $0.080/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
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Claude 3.5 Haiku
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