Models›DeepSeek›DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423

by DeepSeek · released Apr 24, 2026 · 15 providers
Model IDdeepseek/deepseek-v4-flash
Free plan eligibleReasoningTool callingStructured outputsOpen weights · MIT1.05M context

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.

Cheap mode · 69.2% off ↓
SAME MODEL · COMPARE API ROUTES

Cheap mode · 69.2% off

Fast mode prioritizes response speed. Cheap mode uses lower-cost capacity and may be a little slower. Both run DeepSeek V4 Flash 0423.

Per 1M tokens, including your 5% fee. Your selection carries into the playground and API example.

Per 1 million tokensFast modeCheap modeYou save
Input$0.0956$0.029469.2%
Output$0.1911$0.058869.2%
ILLUSTRATIVE USAGE · TOKEN CHARGESAggregate usage across calls, not a single request.
$0.2867 → $0.0882Save $0.1985 · 69.2%

All displayed prices include the 5% Free-plan fee. Standard rates are OpenRouter’s published routing ceilings; the actual standard bill may be lower. Cheapest quote: StreamLake. Savings compare uncached token rates; other provider charges and your usage mix can change the total. Availability is not guaranteed.

Quote checked 11/8/2026, 8:18:04 PM UTC.

Context
1.05M
tokens
Max output
384k
tokens per reply
Input
$0.091
provider baseline / 1M; fee applies
Output
$0.182
provider baseline / 1M; fee applies

Choose how to use DeepSeek V4 Flash 0423

Playground

Try prompts in your browser, create an agent, and see the cost of each reply. Your selected model carries into setup.

Model capabilities below describe the underlying model. Available playground features depend on its provider.

API

Connect your app with a Gizmo API key. Choose fastest or cheapest, stream text responses, and inspect timing, tokens, and charges in request logs.

A current API route is listed for this exact model. Gateway configuration is required for live calls.

Provider price + a transparent platform fee

RateProvider baselineFree plan · 5% feePaid plan · 4% fee
Input / 1M tokens$0.091$0.09555$0.09464
Output / 1M tokens$0.182$0.1911$0.18928
API input / 1M tokens$0.091$0.09555$0.09464
API output / 1M tokens$0.182$0.1911$0.18928

Legacy chat image rates use the catalog baseline. The dedicated image playground shows separate estimates and settles the provider’s metered usage. API rates are current routing ceilings; final API charges use provider-reported cost plus your fee. Cheapest routing compares eligible OpenRouter and Cheaper Inference rates for the same model; savings are not guaranteed. Cached input or other provider charges may differ. Compare all model rates and verified discounts →

How your plan pays for usage

API and playground share one included allowance. Usage including the fee draws from that allowance first, then your prepaid credits. Plans bill monthly; included usage resets weekly: Free $1, Starter $5, Growth $25, Scale $50.

A $1 provider charge becomes $1.05 on Free or $1.04 on a paid plan before included usage is applied. Plan eligibility still applies in the playground.

Free models and limits

Zero-cost models stay $0, including the fee, and do not consume your dollar allowance. Free accounts can make 1,000 free-model API requests per calendar month, resetting in UTC. Admitted requests count even if the provider fails.

Free includes 20 API requests/minute and 6 playground messages/minute. Paid plans raise these limits. See plan limits.

Before a text API request, Gizmo temporarily reserves included usage and, if necessary, prepaid credit for the model’s full context plus your maximum output. Image jobs reserve twice their displayed estimate. Unused funds return after metering. This hold can exceed the final charge; unconfirmed usage remains marked pending.

Overview

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance.

The model includes hybrid attention for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

Benchmarks

Artificial Analysis indices independent, 0–100

Intelligence
24.8
Coding
52.0
Agentic
27.9

Design Arena head-to-head, human-voted

CategoryEloWin rateRank
SVG118348.4%#34
Game dev122150.2%#41
3D scenes121749.3%#42
Code122148.9%#45
Websites122149.1%#46
ASCII art113142.8%#50
UI components118344.7%#60
Data viz114340.6%#77

Base Model from the model card

Benchmark (Metric)# ShotsDeepSeek-V3.2-BaseDeepSeek-V4-Flash-BaseDeepSeek-V4-Pro-Base
Architecture-MoEMoEMoE
# Activated Params-37B13B49B
# Total Params-671B284B1.6T
World Knowledge
AGIEval (EM)0-shot80.182.683.1
MMLU (EM)5-shot87.888.790.1
MMLU-Redux (EM)5-shot87.589.490.8
MMLU-Pro (EM)5-shot65.568.373.5
MMMLU (EM)5-shot87.988.890.3
C-Eval (EM)5-shot90.492.193.1
CMMLU (EM)5-shot88.990.490.8
MultiLoKo (EM)5-shot38.742.251.1
Simple-QA verified (EM)25-shot28.330.155.2
SuperGPQA (EM)5-shot45.046.553.9
FACTS Parametric (EM)25-shot27.133.962.6
TriviaQA (EM)5-shot83.382.885.6
Language & Reasoning
BBH (EM)3-shot87.686.987.5
DROP (F1)1-shot88.288.688.7
HellaSwag (EM)0-shot86.485.788.0
WinoGrande (EM)0-shot78.979.581.5
CLUEWSC (EM)5-shot83.582.285.2
Code & Math
BigCodeBench (Pass@1)3-shot63.956.859.2

DeepSeek-V4-Pro-Max vs Frontier Models from the model card

Benchmark (Metric)Opus-4.6 MaxGPT-5.4 xHighGemini-3.1-Pro HighK2.6 ThinkingGLM-5.1 ThinkingDS-V4-Pro Max
Knowledge & Reasoning
MMLU-Pro (EM)89.187.591.087.186.087.5
SimpleQA-Verified (Pass@1)46.245.375.636.938.157.9
Chinese-SimpleQA (Pass@1)76.476.885.975.975.084.4
GPQA Diamond (Pass@1)91.393.094.390.586.290.1
HLE (Pass@1)40.039.844.436.434.737.7
LiveCodeBench (Pass@1)88.8-91.789.6-93.5
Codeforces (Rating)-31683052--3206
HMMT 2026 Feb (Pass@1)96.297.794.792.789.495.2
IMOAnswerBench (Pass@1)75.391.481.086.083.889.8
Apex (Pass@1)34.554.160.924.011.538.3
Apex Shortlist (Pass@1)85.978.189.175.572.490.2
Long Context
MRCR 1M (MMR)92.9-76.3--83.5
CorpusQA 1M (ACC)71.7-53.8--62.0
Agentic
Terminal Bench 2.0 (Acc)65.475.168.566.763.567.9
SWE Verified (Resolved)80.8-80.680.2-80.6
SWE Pro (Resolved)57.357.754.258.658.455.4
SWE Multilingual (Resolved)77.5--76.773.376.2
BrowseComp (Pass@1)83.782.785.983.279.383.4
HLE w/ tools (Pass@1)53.152.051.654.050.448.2
GDPval-AA (Elo)161916741314148215351554
MCPAtlas Public (Pass@1)73.867.269.266.671.873.6

Comparison across Modes from the model card

Benchmark (Metric)V4-Flash Non-ThinkV4-Flash HighV4-Flash MaxV4-Pro Non-ThinkV4-Pro HighV4-Pro Max
Knowledge & Reasoning
MMLU-Pro (EM)83.086.486.282.987.187.5
SimpleQA-Verified (Pass@1)23.128.934.145.046.257.9
Chinese-SimpleQA (Pass@1)71.573.278.975.877.784.4
GPQA Diamond (Pass@1)71.287.488.172.989.190.1
HLE (Pass@1)8.129.434.87.734.537.7
LiveCodeBench (Pass@1)55.288.491.656.889.893.5
Codeforces (Rating)-28163052-29193206
HMMT 2026 Feb (Pass@1)40.891.994.831.794.095.2
IMOAnswerBench (Pass@1)41.985.188.435.388.089.8
Apex (Pass@1)1.019.133.00.427.438.3
Apex Shortlist (Pass@1)9.372.185.79.285.590.2
Long Context
MRCR 1M (MMR)37.576.978.744.783.383.5
CorpusQA 1M (ACC)15.559.360.535.656.562.0
Agentic
Terminal Bench 2.0 (Acc)49.156.656.959.163.367.9
SWE Verified (Resolved)73.778.679.073.679.480.6
SWE Pro (Resolved)49.152.352.652.154.455.4
SWE Multilingual (Resolved)69.770.273.369.874.176.2
BrowseComp (Pass@1)-53.573.2-80.483.4
HLE w/ tools (Pass@1)-40.345.1-44.748.2
MCPAtlas (Pass@1)64.067.469.069.474.273.6
GDPval-AA (Elo)--1395--1554

Capabilities

Input
✍️ Text
Output
✍️ Text
✓ Tool calling✓ Structured outputs✓ JSON mode✓ Reasoning✓ Reasoning traces✓ Seeded sampling✓ Log probabilities✓ Stop sequences✓ Logit bias

Reasoning is available with effort levels xhigh · high (default high).

Sampling controls: temperature, top_p, top_k, min_p, max_tokens, frequency_penalty, presence_penalty, repetition_penalty.

Pricing on Gizmo

These are provider baseline rates before Gizmo’s 5% Free-plan or 4% paid-plan fee. Your included usage covers charges first; overage uses prepaid credits. See the fee-inclusive comparison above.

Provider baseline rates

Input
$0.091 / 1M
Cached input
$0.014 / 1M
Output
$0.182 / 1M

Examples before the platform fee

Typical chat turn
$0.00027 2k in · 500 out
$1 of input
≈ 10.99M tokens
$1 of output
≈ 5.49M tokens
Full context, once
$0.0954
Free plan eligible. This model sits at or below the free tier’s price ceiling: $1 of usage covered every week, no card needed. Paid plans cover $5 to $50 weekly and add $25 in bonus credits.

Providers and pricing

3 ways to run DeepSeek V4 Flash 0423 on Gizmo, cheapest first. Requests follow your routing choice and fall back down this list if a provider fails.

ProviderRouteInput / 1MOutput / 1MContextUptime 24h
StreamLake · fp8Lowest priceOpenRouter$0.028$0.0561.02M100%
DeepInfra · fp8OpenRouter$0.09$0.181.05M100%
GMICloud · fp8OpenRouter$0.091$0.181.05M99.7%

Rates are each provider’s, per million tokens, before Gizmo’s 5% (Free) or 4% (paid) fee. “Cheapest” routing starts at the top of this list; “Fastest” starts with the model’s maker.

Run DeepSeek V4 Flash 0423 in under a minute

1

Create your account

Sign up with just an email. Start on the free tier with no card, or pick a paid plan for a bigger weekly allowance and $25 in bonus credits.

2

Your agent is ready

DeepSeek V4 Flash 0423 is preselected as the brain of your first agent. Give it a name and a system prompt, or keep the defaults.

3

Chat, research, create

Live web research and image generation are built in. Every reply shows what it cost, and you can switch models anytime.

Sources. OpenRouter · Hugging Face · Artificial Analysis · Design Arena · DeepSeek documentation. Verified Sep 9, 2026. Baseline prices are the provider’s list prices at sync time. Gizmo adds a 5% fee on Free or 4% on paid plans; included usage is applied before overage credits.