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DeepSeek V4.1 Flash

deepseek·deepseek/deepseek-v4.1-flash·BETA·Open weights·deepseek-flash series·NEW
DeepSeek V4.1 Flash model for reasoning and agentic coding

Specs & pricing

Input / output per 1M tokens
Official price
—
Lowest paid·engyGateway
$0.03 / $0.12
Blended $0.053 · 33.6× spread
4 more $0 channels
Context
262,144
Output limit
262,144
Knowledge cutoff
2025-05
Released / updated
2026-09-10 / 2026-09-10
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
⚠ Providers report capability flags inconsistently
Modalities
TextImagePDF
License
MIT
Weights
Hugging Face

DeepSeek V4.1 Flash is offered by 99 providers on this page. Public prices are shown for 92 of them. No official API price is listed for it; the prices below come from third-party channels. The lowest paid channel is engy at $0.03 / $0.12 per 1M. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. Prices vary about 34× across the providers that host it. It also has 4 free ($0) channels and 3 covered by a paid subscription; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 39.5 on the Intelligence Index. Against its lowest blended price of $0.052 per 1M, that is roughly 752 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 181 tokens per second, with 0.94s to the first token. Running one task of the Artificial Analysis suite costs about $0.4802, which reflects how many tokens its reasoning consumes rather than the unit price alone.

The context window is 262,144 tokens at the reference host, but hosts report different limits, from 200,000 to 5,000,000, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and PDF. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use. Its training knowledge cuts off at 2025-05.

Quality & performanceArtificial Analysis · Intelligence Index v4.3 · rep. tier Max

Intelligence39.5
Value752
Coding—
Agentic—
Output speed181 tok/s
TTFT0.94 s
Cost per task$0.48
Value formulaIQ 39.5 ÷ min blended $0.052 = 752
Reasoning tier → intelligence / speed (higher tier = stronger but slower)
Non-reasoningIQ 24.7 · 295 tok/s
MaxIQ 39.5 · 181 tok/s

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 99 providers92 with public prices · 4 free · 3 subscription-covered

  • ProviderInput / Output
  • NvidiaCloud
    Free
    Context 1,000,000 ⚠Output limit 384,000
  • SCNet Token PlanGateway
    DeepSeek-V4.1-Flash
    Subscription
    Cache read $0Context 1,000,000 ⚠Output limit 384,000
  • OpenCodeGateway
    deepseek-v4.1-flash-free
    Free
    Cache read $0Context 200,000 ⚠Output limit 32,000
  • NaNGateway
    deepseek-v4-flash
    Free
    Context 1,000,000 ⚠Output limit 384,000
  • Alibaba Token Plan (China)Gateway
    Subscription
    Cache read $0Context 1,000,000 ⚠Output limit 384,000
  • SenseNova (China)Gateway
    Free
    Cache read $0Context 1,048,576 ⚠Output limit 65,536
  • Alibaba Token PlanGateway
    Subscription
    Cache read $0Context 1,000,000 ⚠Output limit 384,000
  • engyGateway
    $0.03 / $0.12
    Cache read $0.006Context 1,048,576 ⚠Output limit 65,536
  • NanoGPTGateway
    $0.054 / $0.21
    Cache read $0.0011Context 1,000,000 ⚠Output limit 384,000
  • NanoGPTGateway
    deepseek/deepseek-v4.1-flash:thinking
    $0.054 / $0.21
    Cache read $0.0011Context 1,000,000 ⚠Output limit 384,000
ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NvidiaCloudFree——1,000,000 ⚠384,000
SCNet Token Plan
DeepSeek-V4.1-Flash
GatewaySubscription$0—1,000,000 ⚠384,000
OpenCode
deepseek-v4.1-flash-free
GatewayFree$0—200,000 ⚠32,000
NaN
deepseek-v4-flash
GatewayFree——1,000,000 ⚠384,000
Alibaba Token Plan (China)GatewaySubscription$0$01,000,000 ⚠384,000
SenseNova (China)GatewayFree$0—1,048,576 ⚠65,536
Alibaba Token PlanGatewaySubscription$0$01,000,000 ⚠384,000
engyGateway$0.03$0.12$0.006—1,048,576 ⚠65,536
NanoGPTGateway$0.054$0.21$0.0011—1,000,000 ⚠384,000
NanoGPT
deepseek/deepseek-v4.1-flash:thinking
Gateway$0.054$0.21$0.0011—1,000,000 ⚠384,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Reasoning control

effort = noneeffort = loweffort = higheffort = maxToggle (on / off)effort = minimaleffort = mediumeffort = xhighbudget_tokens ≥ 1 ≤ 393,216

Interleaved thinking (reasoning between tool calls) is declared by 34 of 99 providers.

2 / 99 providers expose no reasoning control (reasoning_options: []).

Experimental modes1 items

ModeProviderInputOutputCache readCache write
priorityFireworks AI$0.38$1.50$0.0075—

Your usage cost

1engy$9.12
2NanoGPT$15.16
3NanoGPT$15.16
4Vercel AI Gateway$21.18
5ZenMux$21.18
6DevPass (LLM Gateway)$23.30

7 more channels offer $0 (Nvidia, SCNet Token Plan, OpenCode etc.); free tiers usually have rate limits and no SLA, excluded from ranking.

The cheapest paid channel is the only channel.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.60$02026-09-092026-10-23
2026-10-23Input list —Output list —Min blended $0.053

Benchmark34 items

NameConditionsScoreMetricSource
GPQA Diamondvariant: reasoning_effort=10090.9pass@1Source ↗
MathArena Apexvariant: reasoning_effort=10065.6pass@1Source ↗
Humanity's Last Examvariant: reasoning_effort=100 · dataset: full set36.8pass@1Source ↗
Humanity's Last Examvariant: reasoning_effort=100 · dataset: text-only subset39.1pass@1Source ↗
Codeforcesvariant: reasoning_effort=1003471ratingSource ↗
Terminal-Benchharness: DeepSeek Harness minimal mode · variant: reasoning_effort=100 · v2.190.6pass@1Source ↗
Terminal-Benchharness: DeepSeek Harness minimal mode · variant: reasoning_effort=100 · v3.030pass@1Source ↗
Terminal-Benchharness: DeepSeek Harness minimal mode · variant: reasoning_effort=100 · v4.031.2pass@1Source ↗
DeepSWEharness: mini-swe-agent · variant: reasoning_effort=100 · v1.174.2resolvedSource ↗
ProgramBenchharness: DeepSeek Harness minimal mode · variant: reasoning_effort=10020.3almost@1Source ↗
NL2Repoharness: DeepSeek Harness minimal mode · variant: reasoning_effort=10064scoreSource ↗
CyberGymvariant: reasoning_effort=10088.1pass@1Source ↗
ExploitGymvariant: reasoning_effort=10015.3pass@1Source ↗
AutomationBenchvariant: reasoning_effort=10054.8pass@1Source ↗
Agents' Last Examvariant: reasoning_effort=10031.8pass@1Source ↗
SEC-Bench Proharness: Claude Code · variant: reasoning_effort=10062.8pass@1Source ↗
Humanity's Last Examvariant: reasoning_effort=100; with tools63.9pass@1Source ↗
Chartographyharness: Claude Code · variant: reasoning_effort=100; with tools78.9pass@1Source ↗
BabyVisionharness: Claude Code · variant: reasoning_effort=100; with tools89.6pass@1Source ↗
ZeroBenchharness: Claude Code · variant: reasoning_effort=100; with tools · dataset: main49pass@5Source ↗
DeepSWEharness: Claude Code · variant: reasoning_effort=100 · v1.169.8resolvedSource ↗
Terminal-Benchharness: Claude Code · variant: reasoning_effort=100 · v2.188pass@1Source ↗
DeepSWEharness: Codex · variant: reasoning_effort=100 · v1.165.6resolvedSource ↗
Terminal-Benchharness: Codex · variant: reasoning_effort=100 · v2.184.1pass@1Source ↗
DeepSWEharness: OpenCode · variant: reasoning_effort=100 · v1.165.5resolvedSource ↗
Terminal-Benchharness: OpenCode · variant: reasoning_effort=100 · v2.185pass@1Source ↗
DeepSWEharness: Pi · variant: reasoning_effort=100 · v1.166.2resolvedSource ↗
Terminal-Benchharness: Pi · variant: reasoning_effort=100 · v2.186.1pass@1Source ↗
Terminal-Benchharness: mini-swe-agent · variant: reasoning_effort=100 · v2.190.3pass@1Source ↗
DeepSWEharness: DeepSeek Harness minimal mode · variant: reasoning_effort=100 · v1.172.6resolvedSource ↗
DeepSWEharness: DeepSeek Harness standard mode · variant: reasoning_effort=100 · v1.170.5resolvedSource ↗
Terminal-Benchharness: DeepSeek Harness standard mode · variant: reasoning_effort=100 · v2.185.8pass@1Source ↗
DeepSWEharness: DeepSeek Harness PTC mode · variant: reasoning_effort=100 · v1.167.6resolvedSource ↗
Terminal-Benchharness: DeepSeek Harness PTC mode · variant: reasoning_effort=100 · v2.185.8pass@1Source ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Related models

DeepSeek: DeepSeek Flash Latestsame series—DeepSeek V4 Flash 0423same series—
Data partly from models.dev (MIT)