model release

Google launches Veo 3.1 Lite, cutting video generation costs by half

TL;DR

Google announced Veo 3.1 Lite, a cost-reduced video generation model priced at less than 50% of Veo 3.1 Fast's cost. The model supports text-to-video and image-to-video generation at 720p or 1080p resolution with customizable durations of 4s, 6s, or 8s, rolling out today on the Gemini API and Google AI Studio.

2 min read
0

Google launches Veo 3.1 Lite, cutting video generation costs by half

Google announced Veo 3.1 Lite today, positioning itself as committed to video generation as OpenAI exits the space. The new model is priced at less than 50% of Veo 3.1 Fast's cost, making it Google's most cost-effective video generation offering to date.

Model hierarchy and capabilities

Veo 3.1 Lite sits beneath Veo 3.1 Fast in Google's video generation lineup, with Veo 3.1 remaining at the top tier. The model is designed for "high-volume video applications" and supports:

  • Text-to-video generation
  • Image-to-video generation
  • Resolution options: 720p or 1080p
  • Aspect ratios: 16:9 (landscape) and 9:16 (portrait)
  • Customizable video duration: 4s, 6s, or 8s (with cost adjusting per duration)
  • Generation speed matching Veo 3.1 Fast

Pricing and availability

Exact pricing for Veo 3.1 Lite has not been disclosed, but Google confirmed it costs "less than 50%" of Veo 3.1 Fast's current rate. Veo 3.1 Fast itself is receiving a price reduction on April 7, 2026.

Veo 3.1 Lite is available immediately through:

  • Gemini API
  • Google AI Studio

Integration and commitment

Veo technology is already integrated across multiple Google products including YouTube Shorts, Google Photos, Google Vids, the Gemini app, and the dedicated Flow tool. Google's statement suggests additional announcements are forthcoming: "Our commitment to making video generation more available to developers doesn't stop with the release of Veo 3.1 Lite. Stay tuned for more updates soon!"

The announcement comes days after OpenAI announced it would discontinue Sora video generation, ceding that market to competitors like Google, Runway, and others.

What this means

Google is doubling down on video generation at the moment when OpenAI is retreating. By tiering Veo pricing with a cost-optimized Lite version, Google targets volume use cases where Veo 3.1 and Veo 3.1 Fast pricing may have been prohibitive. The sub-50% pricing positions Veo 3.1 Lite for developers building high-throughput video applications. The cryptic commitment to future announcements suggests Google plans additional pricing tiers or capability expansions soon.

Related Articles

model release

OpenAI previews GPT-5.6 to select partners with three variants priced from $1 to $30 per million tokens

OpenAI has begun previewing its GPT-5.6 series to a limited group of trusted partners after government review. The release includes three variants: Sol at $5 input/$30 output per million tokens, Terra at $2.50/$15, and Luna at $1/$6.

model release

OpenAI announces GPT-5.6 series with Sol flagship, Terra at 50% cost of GPT-5.5, and Luna budget model

OpenAI has begun a limited preview of its GPT-5.6 series, introducing three models: Sol (flagship), Terra (2x cheaper than GPT-5.5 with competitive performance), and Luna (lowest cost option). The models are launching first with trusted partners before general availability in coming weeks, following U.S. government preview requirements.

model release

DeepSeek Releases V4 Models: 1M Context Window, 90% Less KV Cache Than V3

DeepSeek has released two new MoE models: DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated). Both models support a one million token context window and use a hybrid attention architecture that requires only 27% of single-token inference FLOPs and 10% of KV cache compared to DeepSeek-V3.2.

model release

OpenAI releases GPT-5.6 in three tiers with limited government-coordinated rollout

OpenAI announced GPT-5.6, a three-tier model series launching through a limited preview coordinated with the U.S. government. The models—Sol, Terra, and Luna—are priced from $1/$6 to $5/$30 per million input/output tokens and introduce new max and ultra reasoning modes.

Comments

Loading...