Olmo 3

Olmo 3

Ai2
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google AI Studio
    40 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • Nexo
    18,666 Ratings
    Visit Website
  • AthenaHQ
    36 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • Zendesk
    7,958 Ratings
    Visit Website
  • InEight
    136 Ratings
    Visit Website

About

DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts (MoE) language model designed for fast, scalable reasoning and text generation. It features 284 billion total parameters with 13 billion activated parameters, delivering strong performance while optimizing computational cost. The model supports an extensive context window of up to one million tokens, enabling it to process large documents and complex workflows with ease. Its hybrid attention architecture enhances long-context efficiency by reducing memory and compute requirements. Trained on over 32 trillion tokens, DeepSeek-V4-Flash demonstrates solid capabilities across knowledge, reasoning, and coding tasks. It is designed for scenarios where speed and efficiency are critical, offering a balance between performance and resource usage. The model also supports multiple reasoning modes, allowing users to adjust between faster outputs and deeper analysis.

About

Olmo 3 is a fully open model family spanning 7 billion and 32 billion parameter variants that delivers not only high-performing base, reasoning, instruction, and reinforcement-learning models, but also exposure of the entire model flow, including raw training data, intermediate checkpoints, training code, long-context support (65,536 token window), and provenance tooling. Starting with the Dolma 3 dataset (≈9 trillion tokens) and its disciplined mix of web text, scientific PDFs, code, and long-form documents, the pre-training, mid-training, and long-context phases shape the base models, which are then post-trained via supervised fine-tuning, direct preference optimisation, and RL with verifiable rewards to yield the Think and Instruct variants. The 32 B Think model is described as the strongest fully open reasoning model to date, competitively close to closed-weight peers in math, code, and complex reasoning.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, startups, and enterprises looking for a cost-efficient, scalable language model for fast inference, long-context processing, and real-world AI applications

Audience

AI researchers, developers and enterprises needing a tool offering foundation models to inspect, fine-tune or deploy with full provenance and auditability

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.14 per 1M tokens (input)
DeepSeek V4 Flash API pricing per 1 million tokens is $0.14 for regular cache-miss inputs, $0.0028 for cache-hit inputs, and $0.28 for outputs.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • DeepSeek-V4-Flash is really compelling because it feels built for developers who care about performance and cost at the same time. A 1M-token context window, open weights, and a low active-parameter MoE setup make it interesting for repo analysis, long-context coding, document-heavy agents, and high-volume automation.

Cons

  • I would still test it carefully before trusting it in production. Cheap inference is great, but coding agents need reliability, strong tool use, clean multi-file edits, good recovery from mistakes, and consistent behavior over long tasks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

Ai2
Founded: 2014
United States
allenai.org/blog/olmo3

Alternatives

Alternatives

Qwen3-Max

Qwen3-Max

Alibaba
LongCat-2.0

LongCat-2.0

LongCat
GPT-6 Astra

GPT-6 Astra

OpenAI
MiniMax M1

MiniMax M1

MiniMax
DeepSeek-V4

DeepSeek-V4

DeepSeek
DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

Integrations

Buda
Cheaper Inference
Cline
ClinePass
DeepSeek
DeepSeek Harness
DeepSeek-V4
Novita AI
OpenClaw
OpenTag
Oxlo.ai
Reasonix
SnapVee Studio
Together AI
Vercel AI Gateway
ZooClaw

Integrations

Buda
Cheaper Inference
Cline
ClinePass
DeepSeek
DeepSeek Harness
DeepSeek-V4
Novita AI
OpenClaw
OpenTag
Oxlo.ai
Reasonix
SnapVee Studio
Together AI
Vercel AI Gateway
ZooClaw
Claim DeepSeek-V4-Flash and update features and information
Claim DeepSeek-V4-Flash and update features and information
Claim Olmo 3 and update features and information
Claim Olmo 3 and update features and information