Reka Flash vs Databricks Llama 3.1 405B
Performance benchmarks + pricing comparison — updated April 2026
Reka Flash
RekaReka's fast multimodal model. Compact and efficient for high-volume tasks with vision capability.
| Input | $0.200/M |
| Output | $0.800/M |
| Context | 128K tokens |
| Best For | High-volume tasks, vision + text, cost optimization |
| Benchmark | 40/100 |
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 | Reka Flash | Databricks Llama 3.1 405B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.03 | $0.63 | Reka Flash saves $0.59 (95%) |
| Medium Feature (10K lines) | $0.23 | $4.75 | Reka Flash saves $4.52 (95%) |
| Large Project (50K lines) | $1.15 | $23.75 | Reka Flash saves $22.60 (95%) |
| Code Review (5K lines) | $0.06 | $1.25 | Reka Flash saves $1.20 (96%) |
Verdict
Reka Flash wins on both price and performance — $0.200/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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