DeepSeek V4 Pro 0424 (Max)
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.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Relacevia OpenRouter — Price via OpenRouter: OpenRouter's price for Relace's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Relace's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | $0.900 | $1.50 | |
| 2 | SiliconFlowvia OpenRouter — Price via OpenRouter: OpenRouter's price for SiliconFlow's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for SiliconFlow's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | $1.00 | $3.13 | |
| 3 | DigitalOceanvia OpenRouter — Price via OpenRouter: OpenRouter's price for DigitalOcean's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for DigitalOcean's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | $1.04 | $2.09 | |
| 4 | DeepInfravia OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | $1.30 | $2.60 | |
| 5 | Cloudflarevia OpenRouter — Price via OpenRouter: OpenRouter's price for Cloudflare's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Cloudflare's endpoint (https://openrouter.ai/deepseek/deepseek-v4-pro/providers), collected 2026-11-03. | $1.15 | $2.55 |
Composite
4 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one36.8
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.
- Epoch ECI · attached
- Software ECI · attached
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
SciCode (AA subproblems) v1.0.15950.8%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
SWE-bench Verified (Epoch AI run)6377.6%
SWE-bench Verified (Epoch AI run) published 2026-09-18 → · Published board — Epoch AI's own inspect-ai runs of SWE-bench Verified, the human-validated GitHub issue-resolution set.
Code Migration (Vals Index v2 subset)2326.2%
Code Migration (Vals Index v2 subset) v2 → · Published board — Porting projects to another language, including COBOL modernization.
Vibe Code Bench (Vals Index v2)1849.9%
Vibe Code Bench (Vals Index v2) v2 → · Published board — End-to-end app-building tasks.
Vibe Code Bench v1.1049.9%
Vibe Code Bench v1.1 v1.1 → · Published board — Vibe Code Bench v1.1 results published by Vals AI.
ProgramBench90.0%
ProgramBench published 2026-09-23 → · Published board — ProgramBench results published by Vals AI.
Code Migration (standalone Vals board, 2026-09-22 snapshot)1726.2%
Code Migration (standalone Vals board, 2026-09-22 snapshot) published 2026-09-22 → · Published board — Standalone Code Migration results published by Vals AI, distinct from its Vals Index v2 subset.
AA Coding Index v4.x · frozen 2026-10-276859.4
AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).
Efficiency
ApprenticeBench API cost per task (NeoCognition)88$0.46
ApprenticeBench API cost per task (NeoCognition) published 2026-09-14 → · Claude Code — ApprenticeBench's published USD cost per task for each API-board model-harness-effort configuration on the 100-task accounts-payable job.
Vals Index v2 cost per test (Vals AI)78$0.94
Vals Index v2 cost per test (Vals AI) v2 → · Published board — Vals AI's published USD cost per test for each model on the Vals Index v2.
Instruction-following
IFBench (AA single-turn)9676.5%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)8737.5%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index69-10.7
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
SimpleQA Verified (run by Epoch AI)3947.0%
SimpleQA Verified (run by Epoch AI) published 2026-09-16 → · Published board — Short fact-seeking questions answered without tools, testing whether a model knows a fact rather than guessing; Google DeepMind's cleaned version of OpenAI's SimpleQA, run by Epoch AI.
Legal Research Bench (Vals Index v2)1023.1%
Legal Research Bench (Vals Index v2) v2 → · Published board — Case and statute research with citation-backed answers.
Public Benefits Bench v1.12962.9%
Public Benefits Bench v1.1 v1.1 → · Published board — Public Benefits Bench v1.1 results published by Vals AI.
MedScribe075.1%
MedScribe published 2026-09-22 → · Published board — MedScribe results published by Vals AI.
MedCode1040.5%
MedCode published 2026-09-22 → · Published board — MedCode results published by Vals AI.
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
CritPt (AA)8612.9%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8688.8%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (Epoch AI run)5889.6%
GPQA Diamond (Epoch AI run) published 2026-09-18 → · Published board — Epoch AI's own inspect-ai runs of GPQA Diamond, the 198-question graduate-level science multiple-choice set.
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 fractionPeer mean 0.49391 · peer sd 0.29078 · n 35 · families 30Directed z -1.615 · baseline z 0.233 · gap -1.848 · profile n 340.02439 fractionmeasuredobserved 2026-09-16epoch.ai ↗Evidence
Axis: FrontierMath Tier 4 v2 (Epoch AI) · v2 · Published boardExact value:0.024390243902439025fractionObserved: 2026-09-16T09:43:00Z · publication date: not recordedObservation id:public:0ea3cf191b80cdaa6393c40d - unusually strong IFBench (AA single-turn) published 2026-09-10
Why
Observed: 0.76463 fractionPeer mean 0.48006 · peer sd 0.17139 · n 450 · families 331Directed z 1.66 · baseline z 0.137 · gap 1.523 · profile n 340.76463 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: IFBench (AA single-turn) · published 2026-09-10 · Published boardExact value:0.764625850340136fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation 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)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| DeepSeek V4 Pro 0424 (Max) | 59.4 | 18.7est. |
| DeepSeek V4 Pro 0424 (High) | 58.7 | 18.4est. |
| 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 | globalrelace/fp4 | $0.900 raw in $/1M | $1.50 raw out $/1M | |
| SiliconFlow | globalsiliconflow/fp8 | $1.00 raw in $/1M | $3.13 raw out $/1M | |
| DigitalOcean | globaldigitalocean | $1.04 raw in $/1M | $2.09 raw out $/1M | |
| DeepInfra | globaldeepinfra/fp8 | $1.30 raw in $/1M | $2.60 raw out $/1M | |
| Cloudflare | globalcloudflare | $1.15 raw in $/1M | $2.55 raw out $/1M | |
| Novita | globalnovita/fp8 | $1.60 raw in $/1M | $3.20 raw out $/1M | |
| Crusoe | globalcrusoe/fp8 | $1.74 raw in $/1M | $3.48 raw out $/1M | |
| Venice | globalvenice | $1.65 raw in $/1M | $3.30 raw out $/1M | |
| Azure | globalazure/us | $1.91 raw in $/1M | $3.83 raw out $/1M |
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 | globalazure directEU equivalent | $1.74 raw in $/1M | $3.48 raw out $/1M | |
| Azure AI Foundry | usfireworks | $1.93 raw in $/1M | $3.83 raw out $/1M |
Nebius (1)
Direct prices from Nebius's own price list. Source: tokenfactory.nebius.com/models, collected 2026-11-03.
| Nebius | uk | $1.75 raw in $/1M | $3.50 raw out $/1M |