GitHub[208K]Try OpenCode

Compare AI models: Jamba Large vs DeepSeek V4.1 Flash

  1. Jamba LargeAI21Hollow points use fallbacks · hover for details
  2. DeepSeek V4.1 FlashDeepSeek
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Jamba Large0/100 — Reasoning not supported50/100 — No data; neutral placeholder21/10054/1000/10050/100 — Tool calling supported; no comparable benchmark
DeepSeek V4.1 Flash100/100100/10056/10082/10033/10092/100
Overview
Author
Context length
256K
1M
Reasoning
False
True
Input modalities
Text
Text, Image
Output modalities
Text
Text
Providers
Pricing
Input
$2.00/ 1M
$0.30/ 1M
Output
$8.00/ 1M
$1.20/ 1M
Cached input
Unknown
$0.006/ 1M
MomentumLast 2 mo
Unique users
No usage
3.2M
Completed sessions
No usage
81,885,589
Token share
No usage
31.6%
Tokens
No usage
356T+100%
No trend data
AUG 28OCT 22
RetentionWeek 1
Returning users
Pending
68.9%318K user-weeks

Related comparisons. Other model pairs to check.