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DeepSeekLaunchMateriality 3

Deepseek releases V4.1-Flash multimodal model

Deepseek released V4.1-Flash, a 552 billion parameter multimodal model that cuts KV cache memory to a quarter of its predecessor. It ships under the MIT license and narrowly beats Opus 5 and GPT-5.6 Sol on the DeepSWE coding benchmark.

First seen 9 Sep, 11:19 UTC on Hacker News6 sourcesLast update 39d ago

How DeepSeek V4.1 Flash compares

List prices per million tokens, context and Arena's text leaderboard, against DeepSeek's other top models and the leading labs' best. The percentages are DeepSeek V4.1 Flash's price against each.

ModelReleasedInputOutputContextArena
DeepSeek V4.1 FlashSeptember 2026$0.15$0.601M#34 1475
Claude Opus 5.5September 2026$4.00 -96%$20.00 -97%1M#2 1507
GPT-6 AstraSeptember 2026$10.00 -98%$50.00 -99%1.05M#30 1475
Gemini 4 ArgonOctober 2026$2.00 -92%$10.00 -94%1M#1 1525

Arena ranks the best effort setting of each model among all models on its text leaderboard. Every model and price.

What the sources say

Linked, never rewritten. Official means the lab itself.

How it unfolded

Every source in the order it appeared. Times in UTC.

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