Qwen Turbo vs Databricks DBRX Instruct
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 DBRX Instruct
DatabricksDatabricks' open MoE model. Competitive with GPT-3.5 for coding and general tasks.
| Input | $0.750/M |
| Output | $2.25/M |
| Context | 32K tokens |
| Best For | Custom fine-tuning, coding assistance, enterprise NLP |
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 DBRX Instruct | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.01 | $0.09 | Qwen Turbo saves $0.08 (89%) |
| Medium Feature (10K lines) | $0.08 | $0.71 | Qwen Turbo saves $0.64 (89%) |
| Large Project (50K lines) | $0.38 | $3.56 | Qwen Turbo saves $3.18 (89%) |
| Code Review (5K lines) | $0.02 | $0.19 | Qwen Turbo saves $0.17 (89%) |
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 Opus 4
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Claude 3.5 Sonnet
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Claude 3.5 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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