BenchLeader

Agnes 3.0 Flash vs DeepSeek V4.1 Flash

Verdict
  • Agnes 3.0 Flash and DeepSeek V4.1 Flash (max) are level on quality (62.3 vs 61.9).
  • Agnes 3.0 Flash is stronger in agents & tools, reasoning.
  • DeepSeek V4.1 Flash (max) is stronger in composite, knowledge, long context, coding, multimodal.
  • Agnes 3.0 Flash is 3.5× cheaper ($0.075 vs $0.262 per 1M blended).
MetricAgnes 3.0 FlashDeepSeek V4.1 Flash (max)
BenchLeader Index62.361.9
Agents & tools score76.859.6
Composite score74.074.5
Knowledge score59.161.7
Long context score67.068.5
Reasoning score71.169.5
Coding score68.9
Multimodal score61.4
Blended price $/M$0.075$0.262
Output speed215 tok/s
Time to first answer10.5 s
Context window1M1M
LMArena WebDev1614
LMArena Agent4.9
LiveBench81.1%
LiveBench Reasoning86.7%
LiveBench Coding80.0%
LiveBench Agentic Coding77.3%
LiveBench Mathematics93.3%
LiveBench Data Analysis79.3%
LiveBench Language81.2%
LiveBench Instruction Following70.0%
AA Intelligence Index35.539.5
AA-LCR81.0%84.0%
MMMU-Pro77.0%
AA-Omniscience-10.6-5.3
GPQA Diamond (AA)92.4%
Humanity's Last Exam (AA)38.5%39.3%
SciCode (AA)51.6%51.9%
CritPt15.1%14.3%
GDPval (AA)53.7%56.6%
τ²-Bench Banking (AA)47.6%

Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.

Agnes 3.0 Flash vs DeepSeek V4.1 Flash: questions

Is Agnes 3.0 Flash better than DeepSeek V4.1 Flash?
Agnes 3.0 Flash and DeepSeek V4.1 Flash (max) are level on quality (62.3 vs 61.9). The BenchLeader Index combines every independent quality benchmark; Agnes 3.0 Flash is ahead overall as of 2026-09-19, but check the category scores for your use.
Is Agnes 3.0 Flash better than DeepSeek V4.1 Flash for agentic tasks?
Agnes 3.0 Flash scores higher in agentic tasks (77 vs 60 on the category index, where 50 is average).
Which is cheaper, Agnes 3.0 Flash or DeepSeek V4.1 Flash?
Agnes 3.0 Flash is cheaper: $0.075 against $0.262 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
Both accept 1M tokens of context.