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DeepSeek V4 Pro 0424 (Max)

open weightsdeprecated by benchmark source
DeepSeek · released 2026-04-24 · 18 offers

Context 1M tokens

Top 5 cheapest providers (Adjusted $/task)

The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1Relacevia OpenRouter — Price via OpenRouter: OpenRouter's price for Relace's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03.
2SiliconFlowvia OpenRouter — Price via OpenRouter: OpenRouter's price for SiliconFlow's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03.
3DigitalOceanvia OpenRouter — Price via OpenRouter: OpenRouter's price for DigitalOcean's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03.
4DeepInfravia OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03.
5Cloudflarevia OpenRouter — Price via OpenRouter: OpenRouter's price for Cloudflare's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03.

Composite

4 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one

36.8

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 68AA Intelligence (est.): percentile 81Epoch ECI: percentile 40Software ECI: percentile 23

AA Coding v4.x 59.4Coding Agent v1.4 —AA Intelligence (est.) 18.7AA Agentic —Epoch ECI 149.1Software ECI 146.3DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

55 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
Compare this model →

Agentic

  • AA-AnalystAgent3418.8%

    AA-AnalystAgent published 2026-09-10 → · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.

  • APEX-Agents-AA4824.3%

    APEX-Agents-AA published 2026-09-10 → · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.

  • AA-Briefcase47925 Elo

    AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v2671,223 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Harvey LAB-AA4084.4%

    Harvey LAB-AA published 2026-09-10 → · Published board — Tests legal-work deliverables across practice areas on Harvey's private task set. Artificial Analysis' run, graded by one LLM judge against task rubrics — not the same run or scale as Vals AI's HLAB row.

  • ITBench-AA6638.3%

    ITBench-AA published 2026-09-10 → · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.

  • Terminal-Bench Hard (AA)9346.2%

    Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)6364.0%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)7714.6%

    Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • ApprenticeBench API (NeoCognition)3121.0%

    ApprenticeBench API (NeoCognition) published 2026-09-14 → · Claude Code — An agent completes the same 100 sequential accounts-payable tasks in the Odoo ERP with diminishing mentoring, using dedicated application API calls instead of the screen interface.

  • RSI-Exam 0.1 (aiming-lab)00.32

    RSI-Exam 0.1 (aiming-lab) v0.1 → · Claude Code — An agent spends a long, budgeted run improving an inherited, working-but-weak executable research method or harness on a visible split, and the single artifact it submits is re-run once on a sealed hidden split across 88 executable research tasks in six domains.

  • Finance Agent v2 (Vals Index v2)1444.1%

    Finance Agent v2 (Vals Index v2) v2 → · Published board — Multi-step financial reasoning tasks.

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)333.8%

    HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 → · Published board — Long-horizon legal work product creation. The index column is Harvey's Legal Agent Benchmark's own published standalone score, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.

  • Vals Index v2 (Vals AI)1642.9%

    Vals Index v2 (Vals AI) v2 → · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.

Coding

Efficiency

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)6013.4%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.17574.7%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • MLCR-AA7321.1%

    MLCR-AA published 2026-09-10 → · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.

Math

  • FrontierMath Tier 4 v2 (Epoch AI)02.4%

    FrontierMath Tier 4 v2 (Epoch AI) v2 → · Published board — The hardest, research-level tier of Epoch AI's unpublished FrontierMath problems, run by Epoch AI on its private v2 set.

  • FrontierMath Tiers 1–3 v2 (Epoch AI)1745.3%

    FrontierMath Tiers 1–3 v2 (Epoch AI) v2 → · Published board — Unpublished, expert-written mathematics problems from undergraduate to research level with automatically checkable answers, run by Epoch AI on its private v2 set.

  • HMMT February 2026 (MathArena) 2026-022593.9%

    HMMT February 2026 (MathArena) 2026-02 → · Published board — The 33 final-answer problems of the February 2026 Harvard-MIT Mathematics Tournament, one of the largest high-school math competitions in the United States, run by MathArena on the contest problems.

  • Apex 2025 (MathArena)6728.1%

    Apex 2025 (MathArena) v2025 → · Published board — Twelve final-answer problems from 2025 competitions that MathArena selected because strong models of the time failed them; the selection is biased against the four models used to choose it (Grok 4, GPT-5, Gemini 2.5 Pro, GLM 4.5).

  • Apex Shortlist 2025 (MathArena)6787.8%

    Apex Shortlist 2025 (MathArena) v2025 → · Published board — 47 final-answer problems from 2025 competitions on which at least one of two reference models (Grok 4 Fast, GPT-5 mini) got at least one of four attempts wrong, run by MathArena.

  • AIME 2026 (MathArena)3396.7%

    AIME 2026 (MathArena) v2026 → · Published board — The 30 integer-answer problems of the 2026 American Invitational Mathematics Examination (AIME I and II), the qualifying exam for the USA Mathematical Olympiad, run by MathArena on the contest problems.

  • USAMO 2026 (MathArena)060.7%

    USAMO 2026 (MathArena) v2026 → · Published board — The six proof problems of the 2026 USA Mathematical Olympiad, the final round of the American Mathematics Competitions, with each model's proofs graded by MathArena's LLM judges.

  • ProofBench v1.1516.0%

    ProofBench v1.1 v1.1 → · Published board — ProofBench v1.1 results published by Vals AI.

Reasoning

  • Chess Puzzles (Epoch AI)3620.0%

    Chess Puzzles (Epoch AI) published 2026-09-18 → · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.

Science

Tool-use

  • AutomationBench-AA v1.0.68056.3%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • EnterpriseOps-Gym-AA4740.4%

    EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.

  • τ²-Bench Telecom (AA)9796.2%

    τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.

  • τ³-Banking (AA) v1.0.16930.1%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

  • Toolathlon-Verified (HKUST NLP) 2026-06-302555.9%

    Toolathlon-Verified (HKUST NLP) 2026-06-30 → · Published board — An agent completes 108 real-world tool-use tasks across 32 MCP servers and 7 local toolkits, and each task is graded by executing the resulting state against the task's ground truth.

  • Toolathlon, original release (HKUST NLP, archived board) pre-verified10052.8%

    Toolathlon, original release (HKUST NLP, archived board) pre-verified → · Published board — An agent completes 108 real-world tool-use tasks across MCP servers and local toolkits, graded by executing the resulting state against each task's ground truth — the original task definitions, before the June 2026 Verified repair.

  • Excel Modeling Benchmark (Vals Index v2)1351.6%

    Excel Modeling Benchmark (Vals Index v2) v2 → · Published board — Building and editing financial models in spreadsheets.

  • MCPMark Verified071.7%

    MCPMark Verified verified → · Published board — AI agents complete realistic multi-step tasks through Model Context Protocol servers for Notion, GitHub, a filesystem, Postgres and a Playwright browser, each checked by the task's own verification script; Verified is the maintainers' version-pinned, stabilized 127-task set.

  • Excel Modeling Benchmark (standalone Vals board, 2026-09-22 snapshot)051.6%

    Excel Modeling Benchmark (standalone Vals board, 2026-09-22 snapshot) published 2026-09-22 → · Published board — Standalone Excel Modeling Benchmark results published by Vals AI, distinct from its Vals Index v2 subset.

Unusual results

2 threshold-crossing signals flagged · 35 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually weak FrontierMath Tier 4 v2 (Epoch AI)
    Why
    Observed: 0.02439 fraction
    Peer mean 0.49391 · peer sd 0.29078 · n 35 · families 30
    Directed z -1.615 · baseline z 0.233 · gap -1.848 · profile n 34
    0.02439 fractionmeasuredobserved 2026-09-16epoch.ai ↗
    Evidence
    Axis: FrontierMath Tier 4 v2 (Epoch AI) · v2 · Published board
    Exact value: 0.024390243902439025 fraction
    Observed: 2026-09-16T09:43:00Z · publication date: not recorded
    Observation id: public:0ea3cf191b80cdaa6393c40d
  • unusually strong IFBench (AA single-turn) published 2026-09-10
    Why
    Observed: 0.76463 fraction
    Peer mean 0.48006 · peer sd 0.17139 · n 450 · families 331
    Directed z 1.66 · baseline z 0.137 · gap 1.523 · profile n 34
    0.76463 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: IFBench (AA single-turn) · published 2026-09-10 · Published board
    Exact value: 0.764625850340136 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:bf220674-68bd-43cc-a1b8-ce5ed4d2f18d:ifbench
Missing coverage · 264 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Variants / reasoning settings

Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)

VariantAA CodingAA Intelligence
DeepSeek V4 Pro 0424 (Max)59.418.7est.
DeepSeek V4 Pro 0424 (High)58.718.4est.
DeepSeek V4 Pro 0424 (Non-reasoning)—9.8est.
Token offers by platform · 12 offers (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

12 offers within the active global filters, 6 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (9)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/deepseek/deepseek-v4-pro/providers, collected 2026-11-03.

Relace
SiliconFlow
DigitalOcean
DeepInfra
Cloudflare
Novita
Crusoe
Venice
Azure

Azure AI Foundry (2)

Direct prices from Azure AI Foundry's own price list. Source: prices.azure.com/api/retail/prices, collected 2026-11-03.

Azure AI Foundry
Azure AI Foundry

Nebius (1)

Direct prices from Nebius's own price list. Source: tokenfactory.nebius.com/models, collected 2026-11-03.

Nebius
DeepSeek V4 Pro 0424 (Max) — benchmarks & cost