TokenRaAI Model Catalog
DeepSeek V4.1 Flash API · Transparent usage-based pricing via TokenRa

DeepSeek V4.1 Flash API — 304B MoE, 1.31M Context, Native Multimodal

Updated: Sep 8, 2026

Build with the DeepSeek V4.1 Flash API for coding, sustained agentic work, and complex reasoning. Transparent usage-based pricing: $0.21 per 1M input tokens, $0.42 per 1M output tokens, and $0.04 per 1M cached input tokens. Follow the quick guide below to get an API key and send your first request.

$0.21 inputPer 1M input tokens.
$0.42 outputPer 1M output tokens.
$0.04 cachedPer 1M cached input tokens.
Get an API keySee API integration

Built for coding and sustained agentic work

DeepSeek V4.1 Flash (DeepSeek 4.1, DeepSeek Flash 4.1) is built for long-horizon software engineering, complex reasoning, and production use. It provides a 1.31M-token context window (OpenRouter-listed) and accepts text, image, and video input natively - no separate vision model required. V4.1 Flash uses a model architecture designed to improve Flash-tier efficiency and generation speed.

01

~304B MoE · MIT-licensed

Mixture-of-Experts with Compressed Sparse Attention, Heavily Compressed Attention, and mHC optimizations. DSpark speculative decoding supports high-throughput inference. Open weights are available under MIT with vLLM and SGLang deployment recipes.

02

1.31M-token context

Handle entire codebases, long documents, and persistent agentic sessions. Supports reasoning_effort in three tiers: low, high, and max - trade latency against reasoning depth per task.

03

Native multimodal (V4.1)

Text, image, and video input integrated natively. Builds on the earlier V4-Flash-Vision-Exp experimental branch and makes multimodal input a first-class Flash capability.

Where DeepSeek V4.1 Flash fits

DeepSeek V4.1 Flash delivers fast reasoning for workloads that require sustained execution and production-oriented evaluation.

  • Long-horizon software engineering and coding tasks.
  • Complex reasoning that benefits from structured evaluation.
  • Agentic workflows that combine planning, tools, and application checks.
  • Production workloads requiring representative quality, latency, error, and usage testing.

How to get a DeepSeek V4.1 Flash API key

Register for TokenRa, open the dashboard, create an API key, confirm that DeepSeek V4.1 Flash is enabled for your account, and then send an OpenAI-compatible request from your server. Keep the key private and verify the live model identifier before production use.

1

Create a TokenRa account

Register, then open the TokenRa dashboard.

2

Create your API key

Open the API key or token section, create a key, and store it server-side.

3

Send a test request

Confirm the enabled model ID, test a representative workload, and add production controls.

curl https://tokenra.io/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-v4.1-flash","messages":[{"role":"user","content":"Explain the MoE architecture in simple terms."}]}'

DeepSeek V4.1 Flash API pricing

DeepSeek V4.1 Flash uses transparent usage-based pricing through TokenRa. The current rates are shown below; confirm the live rate and account limits in the TokenRa console before production use.

Input

$0.21 / 1M tokens

TokenRa rate for DeepSeek V4.1 Flash input tokens.

Output

$0.42 / 1M tokens

TokenRa rate for DeepSeek V4.1 Flash output tokens.

Cached input

$0.04 / 1M tokens

TokenRa rate for DeepSeek V4.1 Flash cached input tokens.

One key, enabled models

Your TokenRa API key can work across DeepSeek V4.1 Flash, GLM-5.3-Flash, Seedance 2.5, and other models enabled for your account. No separate DeepSeek provider key is required. Use model ID deepseek-v4.1-flash - this is the stable identifier.

Data handling

Prompts and completions are retained by the provider and are not used for training. Review the applicable provider and TokenRa terms before sending sensitive or regulated information.

DeepSeek V4.1 Flash vs DeepSeek V3 and R1

DeepSeek V4.1 Flash prioritizes throughput and predictable usage-based pricing for everyday API workloads.

  • Compared with DeepSeek V3 — Flash is designed for fast coding, chat, and agentic requests with a 1M-token context window.
  • Compared with DeepSeek R1 — Flash is the practical choice when throughput and latency matter more than maximum reasoning depth.
  • Confirm the live model lineup, capabilities, and limits in the TokenRa console before production use.

Production checklist

  • Keep API keys on the server and separate credentials by environment.
  • Confirm the 1M-token context and supported input modalities against the live integration before relying on them.
  • Evaluate representative coding, agentic, reasoning, and visual-context workloads.
  • Set explicit timeouts, bounded retries, tracing, and application-side budgets.
  • Review data handling, provider terms, privacy requirements, and output rights for your use case.

DeepSeek V4.1 Flash API FAQ

What is the DeepSeek V4.1 Flash API?

The DeepSeek V4.1 Flash API provides OpenAI-compatible access to DeepSeek V4.1 Flash, a reasoning model for coding, sustained agentic work, complex reasoning, and production workloads.

How do I get a DeepSeek V4.1 Flash API key?

Register for TokenRa, open the dashboard, create an API key, confirm that DeepSeek V4.1 Flash is enabled, and use the key in a server-side integration.

How much does DeepSeek V4.1 Flash API cost?

The current TokenRa rates are $0.21 per 1M input tokens, $0.42 per 1M output tokens, and $0.04 per 1M cached input tokens. Check the TokenRa console for current rates and account limits.

Who develops DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash is developed and operated by DeepSeek. TokenRa provides the API gateway and is not the model developer or owner.

What input does DeepSeek V4.1 Flash support?

DeepSeek V4.1 Flash supports text, image, and video input on the enabled integration.

What is the difference between DeepSeek V4.1 Flash and DeepSeek V4.1?

DeepSeek V4.1 Flash is the efficiency-focused Flash variant. Confirm the current full-tier model name, capabilities, and pricing in the live TokenRa console.

Does DeepSeek V4.1 Flash support reasoning_effort?

Yes. The page documents reasoning_effort tiers of low, high, and max; verify support on the enabled integration.

Is DeepSeek V4.1 Flash open source?

The current page describes open weights under MIT licensing. Confirm the applicable release and deployment terms before redistribution or production deployment.

Are prompts and completions used for training?

They are retained by the provider and are not used for training.

DeepSeek is a trademark of DeepSeek. TokenRa is an independent API gateway and is not affiliated with, endorsed by, or sponsored by DeepSeek. DeepSeek and related names belong to their respective rights holders. TokenRa should not be treated as the model's developer or owner.