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DeepSeek V4 Pro 0813 (Max)

open weights
DeepSeek · released 2026-08-13 · 28 offers

Output 82 tokens/sFirst token 1.1 sContext 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
1Wafervia OpenRouter — Price via OpenRouter: OpenRouter's price for Wafer's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro-0813/providers), collected 2026-11-03.
2Ionstreamvia OpenRouter — Price via OpenRouter: OpenRouter's price for Ionstream's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro-0813/providers), collected 2026-11-03.
3Relacevia OpenRouter — Price via OpenRouter: OpenRouter's price for Relace's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro-0813/providers), collected 2026-11-03.
4Novitavia OpenRouter — Price via OpenRouter: OpenRouter's price for Novita's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro-0813/providers), collected 2026-11-03.
5DekaLLMvia OpenRouter — Price via OpenRouter: OpenRouter's price for DekaLLM's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro-0813/providers), collected 2026-11-03.

Composite

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

52.9

AA Coding v4.xCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 78Coding Agent v1.4: percentile 21AA Intelligence: percentile 84Epoch ECI: percentile 58Software ECI: percentile 52

AA Coding v4.x 68.8Coding Agent v1.4 42.8AA Intelligence 23.1AA Agentic —Epoch ECI 155.9Software ECI 155.5DesignArena —/—

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

Benchmark sheet

54 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-Briefcase711,265 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 v2861,493 Elo

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

  • Terminal-Bench v2.1 (AA)7978.7%

    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)7614.1%

    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.

  • τ²-Bench Airline (OpenRouter run)9577.7%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

  • Finance Agent v2 (Vals Index v2)3050.4%

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

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)567.5%

    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.

  • Terminal-Bench 2.1 (Vals Index v2)1154.7%

    Terminal-Bench 2.1 (Vals Index v2) v2 → · Published board — Command-line interface problem solving; the page states that each index column is that benchmark's own published standalone score, so the runner is not asserted here.

  • Vals Index v2 (Vals AI)2752.4%

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

  • Terminal-Bench 4.001.0%

    Terminal-Bench 4.0 published 2026-09-22 → · Published board — Terminal-Bench 4.0 results published by Vals AI.

  • Terminal-Bench Science00.0%

    Terminal-Bench Science published 2026-09-23 → · Published board — Terminal-Bench Science results published by Vals AI.

  • Tax Agent Bench1158.7%

    Tax Agent Bench published 2026-09-23 → · Published board — Tax Agent Bench results published by Vals AI.

Coding

Efficiency

Knowledge

Long-context

  • GDP.pdf (AA)5211.4%

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

  • AA-LCR v1.18980.3%

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

  • MLCR-AA6317.8%

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

  • Context Arena — MRCR v2 (8-needle)6384.0%

    Context Arena — MRCR v2 (8-needle) 8-needle → · Published board — The model must find and reproduce the right one of eight near-identical earlier replies hidden in a long conversation, averaged over context lengths from 8k to 128k tokens.

Math

  • FrontierMath Tier 4 v2 (Epoch AI)2526.8%

    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)4164.6%

    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.

  • ProofBench v1.15050.0%

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

  • IOI2051.6%

    IOI published 2026-09-23 → · Published board — IOI results published by Vals AI.

Reasoning

  • ARC-AGI-13590.0%

    ARC-AGI-1 v1 → · Published board — The first-generation ARC-AGI benchmark measuring passive fluid intelligence, with leaderboard score plotted against cost-per-task.

  • ARC-AGI-23061.3%

    ARC-AGI-2 v2 → · Published board — The second-generation ARC-AGI benchmark of passive fluid intelligence, with leaderboard score plotted against cost-per-task.

  • Chess Puzzles (Epoch AI)8847.0%

    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.

  • Mystery Game Puzzles (Epoch AI)7843.0%

    Mystery Game Puzzles (Epoch AI) published 2026-09-18 → · Published board — Best-move selection on 100 mid-game positions of a well-known game whose identity Epoch deliberately keeps undisclosed, generated programmatically like Chess Puzzles.

  • AA Intelligence Index v5.0 · snapshot-2026-11-033123.1

    AA Intelligence Index v5.0 · snapshot-2026-11-03 → · Published board — Artificial Analysis Intelligence Index v5.0. Models AA has not rescored on v5.0 are listed as estimates from their frozen v4.x value (isotonic fit over the models measured on both versions), never as measurements.

Safety/Alignment

Science

Tool-use

Missing coverage · 265 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 0813 (Max)68.823.1
DeepSeek V4 Pro 0813 (Non-reasoning)—9.8est.
Token offers by platform · 21 offers (Adjusted $/task)

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

21 offers within the active global filters, 7 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 (19)

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-0813/providers, collected 2026-11-03.

Wafer
Ionstream
Relace
Wafer
Novita
DekaLLM
DeepInfra
CoreWeave
Nebius
Parasail
DigitalOcean
SiliconFlow
Cloudflare
Sail Research
Sail Research
Together
BaseTen
Phala
Venice

TensorX (1)

Direct prices from TensorX's own price list. Source: tensorx.ai/pricing/, collected 2026-11-03.

TensorX

Nebius (1)

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

Nebius
DeepSeek V4 Pro 0813 (Max) — benchmarks & cost