GitHub[220K]Try OpenCode

Compare AI models: Jamba Mini vs DeepSeek V4 Pro

  1. Jamba MiniAI21Hollow points use fallbacks · hover for details
  2. DeepSeek V4 ProDeepSeek
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Jamba Mini0/100 — Reasoning not supported50/100 — No data; neutral placeholder70/10054/1000/10050/100 — Tool calling supported; no comparable benchmark
DeepSeek V4 Pro100/100100/10048/10082/1000/10068/100
Overview
Author
Context length
256K
1M
Reasoning
False
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$0.20/ 1M
$0.70/ 1M
Output
$0.40/ 1M
$1.40/ 1M
Cached input
Unknown
$0.07/ 1M
MomentumLast 2 mo
Unique users
No usage
458K
Completed sessions
No usage
1,396,290
Token share
No usage
0.5%
Tokens
No usage
5.7T-82%
No trend data
AUG 29OCT 23
RetentionWeek 1
Returning users
Pending
58.3%44K user-weeks

Related comparisons. Other model pairs to check.