AI NewsDeepSeek

DeepSeek's V4.1 Flash processed 1 trillion tokens on OpenRouter within 24 hours of launch, putting it on pace for the biggest 48-hour debut of any paid model tracked.
DeepSeek released V4.1 Flash on September 10, and it hit 1 trillion tokens on OpenRouter in 24 hours. That pace puts it on track for 2.8 trillion tokens by 48 hours, the biggest launch of any paid model.
Most of those tokens are cheap cache reads, priced around $0.006 per million, about five times cheaper than comparable models. That kind of volume signals developers are already routing real workloads to it, not just testing it.
Key Capabilities:

• Explosive demand: 1 trillion tokens processed in 24 hours, nearly double by hour 36.
• Cheap by design: 90% of usage is cache reads, priced at just $0.006 per million tokens.
• Built for agents: DeepSeek says it beats its own V4 Pro on speed and task completion.

DeepSeek-V4.1-Flash introduces the smallest model in a new architecture family built for future scaling.
DeepSeek introduced DeepSeek-V4.1-Flash, calling it smarter, faster, and more efficient. It's the smallest model in a new architecture family, with native visual understanding built directly into the model rather than bolted on separately.
It's designed for greater capability and faster inference, with higher throughput, and built to scale to larger models in the same family. On benchmarks like CyberGym, it scores 88.1, ahead of rivals including GLM-5.3 and Opus5.
Key Capabilities:

• Native Vision: Understands images directly without needing a separate vision-specific model.
• Foundation for Scaling: Built as the smallest model in an architecture family designed for larger versions.
• Strong Benchmarks: Scores 88.1 on CyberGym, ahead of GLM-5.3, Opus5, and GPT5.6-Sol.

 DeepSeek v4.1 Flash reaches 190+ tokens per second while adding native image input support.
DeepSeek released v4.1 Flash on its API, reaching over 190 tokens per second with lower time-to-first-token, more than twice as fast as the previous v4 Flash on both metrics. It features a new architecture and now natively supports both text and image input, with a 1 million token context window.
Pricing stays the same as v4 Flash despite the upgrades. One early tester noted it still overthinks on some tasks, an issue the developer says still needs fixing.
Key Capabilities:

• Twice as Fast: Delivers over 190 tokens per second, more than double the previous v4 Flash.
• Native Multimodal: Now supports both text and image input without separate model variants.
• Same Pricing: Matches v4 Flash's cost despite the significant speed and capability improvements.