Capable, everyday coding
Quick fixes, code reviews and test generation, with the capability for most coding work.
Use it for: reviewing every pull request and generating tests on every commit.
AI Cloud
From rapid prototyping to foundation training to scalable inference
Compute
Inference
Verda Inference New
Run frontier open-weight models with performance engineered for long-context prompts.
Run
Serving your own models? Serverless containers
Models
GB300 NVL72
New1x tray to 2+ racks · NVLink v5
The right balance of capability and cost for coding and agents, with a 1M-token context window.
DeepSeek V4.1 Flash is the cost-efficient tier of DeepSeek's V4.1 family, and this release, 1017, is its October 2026 update. It's a 552B-parameter Mixture-of-Experts model that activates 8B parameters while reading input and 16B while generating output, which keeps costs low for input-heavy work like agents. It has a 1M-token context window and native image understanding.
OpenAI compatible: point your code or coding agent at Verda Inference with your API key and the model ID deepseek-4-1-flash-1017 .
curl -X POST "https://inference.verda.com/v1/chat/completions" \ -H "Authorization: Bearer ${VERDA_INFERENCE_API_KEY}" \ -H "Content-Type: application/json" \ -d '{ "model": "deepseek-4-1-flash-1017", "messages": [ { "role": "user", "content": "What is the best viewpoint in Helsinki?" } ], "max_tokens": 2048 }'
Supports thinking and non-thinking modes, chosen with reasoning_effort .
Quick fixes, code reviews and test generation, with the capability for most coding work.
Use it for: reviewing every pull request and generating tests on every commit.
Run it on every agent step, pull request and support ticket, without rationing requests.
Use it for: multi-step agent workflows and automation.
It keeps a small memory of everything it reads, so long sessions, up to 1M tokens, stay light.
Use it for: working across whole codebases and long documents.
Switch thinking off for quick answers, or on for harder problems.
Use it for: chat assistants, and harder reasoning when it counts.
For complex coding, agent and research work, with major gains in long-horizon coding.
Strong coding and agent performance at a lower cost, for long-running tasks.
Available now
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