Skip to content
Dashboard

Deepseek V4 Flash 0731

Deepseek V4 Flash 0731 is a dated checkpoint of DeepSeek's V4 Flash weights, with notably stronger agentic capabilities than the April preview. Deepseek V4 Flash 0731 scores 82.7 on Terminal-Bench, pairs a hybrid attention architecture with a context window of 1.0M tokens, and routes across Fireworks, DeepSeek, Baseten, DeepInfra, Novita AI, Alibaba Cloud, Wafer, Runware, RunInfra, Morph, Parasail, Together AI, DigitalOcean, StreamLake, Inceptron, Relace, Particle.AI, Blackbox AI, GMICloud on AI Gateway.

View API reference
Input and output price
Prices from: Input $0.08, Output $0.15, Per 1M tokens
24h uptime
Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({
model: 'deepseek/deepseek-v4-flash-0731',
prompt: 'Why is the sky blue?'
})
Read docs

Copy link to headingPlayground

Try out Deepseek V4 Flash 0731 by DeepSeek. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

deepseek logo
deepseek logo

Deepseek V4 Flash 0731

Copy link to headingProviders

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Max Output
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
ZDR
No Training
Regional Inference
Free Tier
Release Date
1M384K2.0 s129 tps
$0.22/M+1 more
$0.66/M+1 more
Read$0.007/M
US
07/31/2026
1M384K1.1 s110 tps
$0.22/M+1 more
$0.66/M+1 more
Read$0.007/M
07/31/2026
1M384K5.6 s126 tps
$0.13/M
$0.26/M
Read$0.03/M
US
07/31/2026
1M384K0.9 s41 tps
$0.08/M
$0.18/M
Read$0.02/M
07/31/2026
1M393K2.7 s129 tps
$0.44/M
$1.32/M
Read$0.03/M
07/31/2026
1M384K4.3 s123 tps
$0.22/M+1 more
$0.66/M+1 more
Read$0.02/M
07/31/2026
1M1M2.7 s214 tps
$0.28/M
$0.56/M
Read$0.07/M
07/31/2026
1M384K2.5 s101 tps
$0.08/M
$0.15/M
Read$0.01/M
07/31/2026
1M1M3.7 s25 tps
$0.13/M
$0.27/M
Read$0.01/M
07/31/2026
1M1M1.4 s6 tps
$0.08/M
$0.28/M
Read$0.02/M
07/31/2026
1M1M0.8 s69 tps
$0.14/M
$0.28/M
Read$0.07/M
07/31/2026
1M1M0.7 s138 tps
$0.14/M
$0.28/M
Read$0.03/M
07/31/2026
1M1M0.6 s35 tps
$0.08/M
$0.25/M
Read$0.03/M
07/31/2026
1M384K1.3 s115 tps
$0.44/M
$1.32/M
Read$0.01/M
07/31/2026
1M1M0.7 s57 tps
$0.13/M
$0.28/M
Read$0.07/M
07/31/2026
1M1M2.5 s73 tps
$0.07/M
$0.18/M
Read$0.02/M
07/31/2026
1M384K0.5 s189 tps
$0.14/M
$0.28/M
Read$0.03/M
07/31/2026
1M384K1.3 s244 tps
$0.08/M
$0.15/M
Read$0.01/M
07/31/2026
GMICloud
20% off
Legal:TermsPrivacy
1M384K2.3 s138 tps
$0.35/M
$1.06/M
Read$0.01/M
07/31/2026

Copy link to headingUptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

Copy link to headingThroughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Copy link to headingLatency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Getting started

Call Deepseek V4 Flash 0731 through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.

Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.

index.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'deepseek/deepseek-v4-flash-0731',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Top-level parameters

The same Deepseek V4 Flash 0731 request in each API format AI Gateway supports.

top-level-params.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'deepseek/deepseek-v4-flash-0731',
system: 'You are a concise technical assistant.',
prompt: 'Summarize the tradeoffs between static generation and SSR.',
maxOutputTokens: 1024,
});
console.log(result.text);
}
main().catch(console.error);

Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.

ParameterTypeRequiredDescription
modelstringYesModel ID in the form creator/model, e.g. deepseek/deepseek-v4-flash-0731. AI Gateway routes the request to an available provider.
maxOutputTokensnumberNoHard cap on generated tokens. Deepseek V4 Flash 0731 supports up to 1,048,576 output tokens. Reasoning tokens count toward this limit.
reasoning'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh'NoProvider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under providerOptions take precedence when both are set. See the Reasoning section below.
providerOptionsRecord<string, JSONValue>NoAI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below.

Input limits

InputFormatsSourcesMax countMax sizeLimits
TextPrompt and response share the 1M-token context window

Provider options

Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.

Learn more in the AI SDK deepseek provider docs.

provider-options.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'deepseek/deepseek-v4-flash-0731',
prompt: 'Why is the sky blue?',
providerOptions: {
gateway: {
only: ['fireworks', 'deepseek'],
},
},
});
console.log(result.text);
}
main().catch(console.error);

These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.

ParameterTypeRequiredDescription
providerOptions.gateway.onlystring[]NoRestrict routing to these provider slugs. Requests fail over only within the listed providers.
providerOptions.gateway.orderstring[]NoPreferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks.
providerOptions.gateway.sort'cost' | 'ttft' | 'tps'NoRank candidate providers by price, time to first token, or tokens per second instead of the default routing order.
providerOptions.gateway.zeroDataRetentionbooleanNoRoute only to providers with a zero-data-retention policy for this model.

Routing across providers

AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.

Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.

Reasoning

AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.

Learn more in the AI Gateway reasoning guide.

reasoning.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'deepseek/deepseek-v4-flash-0731',
prompt: 'Explain the Monty Hall problem step by step.',
reasoning: 'high',
});
console.log(result.text);
}
main().catch(console.error);

Tool calling

Expose tools the model can call. Define each tool’s inputs with a Zod schema.

tool-calling.ts
import { generateText, tool } from 'ai';
import { z } from 'zod';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'deepseek/deepseek-v4-flash-0731',
prompt: 'What is the weather in San Francisco?',
tools: {
getWeather: tool({
description: 'Get the current weather for a location',
inputSchema: z.object({ location: z.string() }),
execute: async ({ location }) => ({ location, temperatureC: 18 }),
}),
},
});
console.log(result.text);
}
main().catch(console.error);

Copy link to headingMore models by DeepSeek

Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
Providers
ZDR
No Training
Free Tier
Release Date
1M1.3 s331 tps
$0.22/M
$0.66/M
Read$0.007/M
+1
deepseek logo
09/08/2026
1M0.4 s172 tps
$0.22/M
$0.65/M
Read$0.007/M
+1
deepinfra logo
deepseek logo
fireworks logo
+1
08/21/2026
1M0.3 s107 tps
$0.60/M
$1.90/M
Read$0.02/M
alibaba logo
baseten logo
deepinfra logo
+8
08/12/2026
1M0.5 s223 tps
$0.08/M
$0.18/M
Read$0.007/M
alibaba logo
azure logo
baseten logo
+7
04/23/2026
1M0.6 s139 tps
$0.66/M
$1.98/M
Read$0.02/M
alibaba logo
azure logo
baseten logo
+4
04/23/2026
164K0.4 s124 tps
$0.28/M
$0.42/M
Read$0.03/M
bedrock logo
deepinfra logo
deepseek logo
+1
12/01/2025

Copy link to headingAbout Deepseek V4 Flash 0731

Deepseek V4 Flash 0731 became available on AI Gateway on July 31, 2026 as a dated checkpoint of DeepSeek V4 Flash, the efficiency tier of DeepSeek's V4 generation. The V4 series arrived in April 2026 with two variants: V4 Pro for agentic coding, formal mathematical reasoning, and long-horizon workflows, and V4 Flash for high-volume, latency-sensitive work. V4 Flash performs close to V4 Pro on reasoning and holds up on simpler agent tasks at a smaller parameter size.

This checkpoint carries the updated weights that followed the April preview, and the agentic gains are the reason to pin this checkpoint. On Terminal-Bench, a benchmark that measures how well a model completes real tasks in a terminal, Deepseek V4 Flash 0731 scores 82.7, up 25.8 points from 56.9 in the April preview. That lands directly on coding-agent work such as fixing failing tests in a repository and opening a pull request.

The V4 architecture combines Compressed Sparse Attention (CSA) with Heavily Compressed Attention (HCA), and uses ManifoldConstrained Hyper-Connections (mHC) in place of standard residual connections. The combination targets efficient inference at the context window of 1.0M tokens. Maximum output is 1.0M tokens per response, which gives long reasoning chains and tool-call sequences room to finish in a single call.

AI Gateway routes Deepseek V4 Flash 0731 across Fireworks, DeepSeek, Baseten, DeepInfra, Novita AI, Alibaba Cloud, Wafer, Runware, RunInfra, Morph, Parasail, Together AI, DigitalOcean, StreamLake, Inceptron, Relace, Particle.AI, Blackbox AI, GMICloud, with retries and automatic failover. Provider coverage grew after the updated weights first shipped, so check the list on this page for who serves the checkpoint today. Prefer a specific provider by passing an order array under providerOptions.gateway, which is also how you route to a provider running a promotional rate while one is active.

Set the model to deepseek/deepseek-v4-flash-0731 in the AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python. Authenticate with an AI Gateway API key or OIDC token, so you don't need a separate DeepSeek platform account. AI Gateway mirrors provider pricing with no markup and adds no platform fee on inference, including for Bring Your Own Key requests.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: The 0731 suffix names a dated checkpoint. deepseek/deepseek-v4-flash-0731 stays on that snapshot of the weights, while deepseek/deepseek-v4-flash picks up whatever DeepSeek ships as current. Pin the checkpoint when you need reproducible behavior across deploys and evaluation runs, and use the undated model ID when you want new weights automatically.
  • Configuration: Provider coverage differs between the two IDs, including which backing providers offer Zero Data Retention. Check the provider list on this page, and use the order option under providerOptions.gateway when you need traffic to prefer one provider. Individual providers sometimes run time-limited promotional rates that end on a set date, so read the pricing panel on this page rather than assuming a past rate still applies.
  • Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Copy link to headingWhen to Use Deepseek V4 Flash 0731

Best for

  • Pinned Production Behavior: A dated checkpoint holds model behavior steady across deploys and evaluation runs
  • Coding Agent Tasks: Terminal-Bench gains land on repository work such as fixing tests and opening pull requests
  • High-Volume Short-Form Traffic: Classification, routing, and extraction pipelines at efficiency-tier pricing
  • Long-Context Workloads: A context window of 1.0M tokens and up to 1.0M tokens output tokens cover large inputs
  • Provider-Controlled Routing: The order option pins traffic to a preferred provider for cost or compliance reasons

Consider alternatives when

  • Automatic Weight Updates: DeepSeek V4 Flash tracks the current weights with no model ID change on your side
  • Deeper Reasoning Work: DeepSeek V4 Pro targets complex reasoning, multi-step problem solving, and agentic planning
  • Dedicated Reasoning Specialist: DeepSeek-R1 remains the open-weights option for extended chain-of-thought workloads

Deepseek V4 Flash 0731 pins the V4 Flash checkpoint that carries the stronger agentic scores, at efficiency-tier pricing and a context window of 1.0M tokens. Pin Deepseek V4 Flash 0731 when reproducible behavior matters, and switch to deepseek/deepseek-v4-flash when you'd rather pick up new weights automatically.

Copy link to headingFrequently Asked Questions

  • What does the 0731 suffix in deepseek/deepseek-v4-flash-0731 mean?

    It names a dated checkpoint of the weights. deepseek/deepseek-v4-flash-0731 stays on that snapshot, while deepseek/deepseek-v4-flash picks up whatever DeepSeek ships as current.

  • How does Deepseek V4 Flash 0731 compare with the April preview weights?

    Deepseek V4 Flash 0731 has notably stronger agentic capabilities. On Terminal-Bench, Deepseek V4 Flash 0731 scores 82.7, up 25.8 points from 56.9 in the April preview.

  • When should I pin Deepseek V4 Flash 0731 instead of using deepseek/deepseek-v4-flash?

    Pin Deepseek V4 Flash 0731 when you need reproducible behavior, such as stable evaluation baselines or a release you don't want shifting underneath you. Use the undated model ID when you'd rather pick up new weights without a code change.

  • What is the context window and maximum output for Deepseek V4 Flash 0731?

    The context window is 1.0M tokens and the maximum output is 1.0M tokens per response.

  • What does the V4 hybrid attention architecture change for inference?

    Deepseek V4 Flash 0731 combines Compressed Sparse Attention (CSA) with Heavily Compressed Attention (HCA), and uses ManifoldConstrained Hyper-Connections (mHC) in place of standard residual connections. The combination targets efficient inference across the full context window of 1.0M tokens.

  • Does Deepseek V4 Flash 0731 work in a coding agent?

    Yes. The updated weights target agentic work such as fixing failing tests and opening pull requests. Run vercel ai-gateway coding-agents setup to connect your agents to AI Gateway, then select deepseek/deepseek-v4-flash-0731 in the agent's model configuration.

  • How do I route Deepseek V4 Flash 0731 to a specific provider?

    Pass an order array under providerOptions.gateway with the provider slugs you want tried first. If none of them can serve the request, AI Gateway falls back to the remaining providers.

  • What is the pricing for Deepseek V4 Flash 0731?

    AI Gateway mirrors provider pricing with no markup and adds no platform fee on inference. Rates are listed on this page and shift when providers update their pricing. Individual providers sometimes run promotional rates that expire on a set date and then return to standard rates.

  • Does Deepseek V4 Flash 0731 support zero data retention?

    Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.

  • How do I call Deepseek V4 Flash 0731 through AI Gateway?

    Set the model to deepseek/deepseek-v4-flash-0731 in the AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python. Authenticate with an AI Gateway API key or OIDC token, and AI Gateway handles retries and failover across fireworks, deepseek, baseten, deepinfra, novita, alibaba, wafer, runware, runinfra, morph, parasail, togetherai, digitalocean, streamlake, inceptron, relace, particle, blackbox, gmicloud.

Your use is subject to DeepSeek's Terms & Privacy Policies.