Compare AI models: DeepSeek V4 Flash vs Beam 1.0 501B A23B
- DeepSeek V4 FlashDeepSeek
- Beam 1.0 501B A23BReflectionHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| DeepSeek V4 Flash | 26/100 | 73/100 | 57/100 | 82/100 | 0/100 | 0/100 |
| Beam 1.0 501B A23B | 50/100 | 88/100 | 61/100 | 93/100 | 0/100 | 50/100 — Tool calling supported; no comparable benchmark |
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$0.30/ 1M
$0.30/ 1M
Output
$1.20/ 1M
$1.00/ 1M
Cached input
$0.006/ 1M
$0.04/ 1M
MomentumLast 2 mo
Unique users
2.1M
No usage
Completed sessions
28,581,606
No usage
Token share
8.78%
No usage
Tokens
100T-62%
No usage
AUG 29OCT 23
No trend data
RetentionWeek 1
Returning users
67.2%194K user-weeks
Pending
Related comparisons. Other model pairs to check.
Nearby alternativeDeepSeek V4 Flash vs Dracarys Llama 3.1 70B InstructDeepSeek V4 Flash·Dracarys Llama 3.1 70B InstructNearby alternativeBeam 1.0 501B A23B vs Dracarys Llama 3.1 70B InstructBeam 1.0 501B A23B·Dracarys Llama 3.1 70B InstructRelated comparisonDeepSeek V4 Flash vs Jamba MiniDeepSeek V4 Flash·Jamba MiniRelated comparisonBeam 1.0 501B A23B vs Jamba MiniBeam 1.0 501B A23B·Jamba Mini