TL;DR

DeepSeek V4 Pro 0813 by DeepSeek scores 63.21 overall, costs $1.32 per 1M input tokens and $3.96 per 1M output tokens, and carries a context window of 1M tokens — observed 2026-10-23.

DeepSeek V4 Pro 0813

DeepSeek · Open Weight · rank 43 · bench-align-v5

Compare this model Model a workload

Canonical iddeepseek-v4-pro-max

Overall score63.21

Context window1M tokens

Release date2026-08-13

Access typeOpen Weight

Blended $/1M$1.9875% input / 25% output

Cost per successful task$0.0442LiveBench

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

Agentic73.5

Coding59.4

Knowledge73.1

Reasoning60.7

Multimodal & GroundedUnavailable

Instruction FollowingUnavailable

Math87.4

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: Observed

Runtime measurements
Measurement	Value	Observed	Last good	Evidence
Time to first token	1.68 s	2026-10-23	2026-10-23
Throughput	101 tok/s	2026-10-23	2026-10-23

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
Component	USD	Evidence
Input / 1M tokens	$1.32
Output / 1M tokens	$3.96
Cache read / 1M tokens	$0.044
Cache write / 1M tokens	Unavailable
Blended / 1M (75% input / 25% output)	$1.98
Cost per successful task (LiveBench)	$0.0442

Self-hosted listingDeepSeek's pricing page, read September 25, 2026, lists `deepseek-v4-pro` (model version DeepSeek-V4-Pro-0813) with peak and off-peak rates, effective 16:00 UTC on August 16, 2026 per DeepSeek's August 13, 2026 V4-Pro GA announcement and change log (https://api-docs.deepseek.com/news/news260813, https://api-docs.deepseek.com/updates/). The stored values are the peak rates: $1.32 cache-miss input / $0.044 cache-hit input / $3.96 output per million tokens. Off-peak rates are half of peak: $0.66 / $0.022 / $1.98. Peak hours are 01:00-04:00 and 06:00-10:00 UTC, Monday through Friday, excluding Chinese public holidays; all other hours are off-peak. The page lists a 1M context length, a 384K maximum output, and a 500-request concurrency limit, and no Batch API discount. DeepSeek's September 10, 2026 V4.1 Flash announcement said `deepseek-v4-pro` requests would route to DeepSeek-V4.1-Flash and bill at the V4.1 Flash rate from 04:00 UTC on September 14, 2026 until V4.1 Pro launches. DeepSeek then said V4 Pro API service continues after September 14, 2026 with the billing method unchanged and that it will give notice of any change: on its pricing page, read September 17, 2026, and in its change log entry for September 10, read September 25, 2026 (https://api-docs.deepseek.com/news/news260910). This row previously stored the flat $0.435 cache-miss input / $0.003625 cache-hit input / $0.87 output rate from the pricing page checked August 12, 2026, before the peak/off-peak schedule took effect.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$5.58

Modelled tokens2.82M

Open the simulatorChange this workload

Benchmark record

64 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
Benchmark	Value	Tasks	Difficulty	Provenance
GPQA Graduate-Level Google-Proof Q&A	90.1	448 questions	Graduate level	GPQA: A Graduate-Level Google-Proof Q&A Benchmark
GPQA-D GPQA Diamond	90.1	Graduate-level science questions	Graduate level	GPQA: A Graduate-Level Google-Proof Q&A Benchmark
MMLU-Pro Massive Multitask Language Understanding Professional	87.5	Multiple subjects	Professional level	MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
HLE Humanity's Last Exam	42.7

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.

Benchmark	Value	Tasks	Difficulty	Provenance
Terminal-Bench 2.1 Terminal-Bench 2.1	87.9	Terminal-based software-agent tasks	Professional software engineering	Terminal-Bench
Codeforces Codeforces Rating	3206.0	Competitive programming contests	Elite competitive programming	DeepSeek-V4 Technical Report
Terminal-Bench 2.0 Terminal-Bench 2.0	67.9	Terminal-based software tasks	Professional software engineering	Terminal-Bench 2.0
SWE-bench Verified Software Engineering Benchmark Verified	80.6	500 verified issues	Professional software engineering	SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
LiveCodeBench Pass@1-COT LiveCodeBench Pass@1 with Chain-of-Thought	93.5	DeepSeek-V4 report evaluation window	Competitive programming level	DeepSeek-V4 technical report
SWE-bench Pro SWE-bench Pro	55.4	1,865 repository problems	Long-horizon professional engineering	SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
OpenHarmony Bench OpenHarmony Bench v1.0	59.0	153 app-development and bug-fix tasks	End-to-end OpenHarmony application development	OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development
SWE Multilingual SWE Multilingual	76.2	Multilingual software-engineering tasks	Professional software engineering	MiniMax M2.7: Early Echoes of Self-Evolution
Vibe Code Bench Vibe Code Bench v1.1	49.93	End-to-end web application builds	End-to-end software delivery	Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development
NL2Repo NL2Repo	61.5	Natural language to repository tasks	System-level software comprehension	MiniMax M2.7: Early Echoes of Self-Evolution
DSBench-FullStack DeepSeek DSBench FullStack	71.1	Internal full-stack coding-agent tasks	Full-stack software engineering	DeepSeek V4 Flash 0731 update
DSBench-Hard DeepSeek DSBench Hard	67.2	Internal hard coding-agent tasks	Advanced coding-agent challenges	DeepSeek V4 Flash 0731 update
AA Coding Index Artificial Analysis Coding Index	68.8	Cross-benchmark coding index	Display-only external reference	Artificial Analysis model leaderboards
AA-SciCode Artificial Analysis SciCode	51.0	Scientific coding subproblems	Scientific programming	Artificial Analysis SciCode Benchmark Leaderboard
LiveCodeBench (Vals) LiveCodeBench, Vals AI run	87.5	Competitive programming problems (easy, medium, hard)	Frontier coding	Vals AI LiveCodeBench, Vals AI run leaderboard
SWE-bench (Vals) SWE-bench, Vals AI run	96.4	Real repository issues by human time bucket	Frontier coding agents	Vals AI SWE-bench, Vals AI run leaderboard
DeepSWE DeepSWE	62.7	113 software engineering tasks across 91 repositories and 5 languages	Long-horizon software engineering	DeepSWE benchmark blog

Benchmark	Value	Tasks	Difficulty	Provenance
HMMT Feb 2026 Harvard-MIT Mathematics Tournament February 2026	95.2	Competition math problems	Olympiad-style mathematics	Qwen3.6 launch benchmarks
IMOAnswerBench IMOAnswerBench	89.8	Advanced mathematical answer generation	Olympiad-level mathematics	DeepSeek-V4 Technical Report
Apex Apex	38.3	Advanced mathematical reasoning	Frontier math reasoning	DeepSeek-V4 Technical Report
Apex Shortlist Apex Shortlist	90.2	Advanced mathematical reasoning	Frontier math reasoning	DeepSeek-V4 Technical Report

Benchmark	Value	Tasks	Difficulty	Provenance
ARC-AGI-1 ARC-AGI-1 Semi-Private Evaluation	90.00	Semi-private ARC-AGI-1 evaluation set	Abstract visual reasoning	ARC Prize leaderboard
MRCR 1M MRCR 1M	83.5	Million-token retrieval	Million-token long context	DeepSeek-V4 Technical Report
CorpusQA 1M CorpusQA 1M	62.0	Million-token corpus question answering	Million-token long context	DeepSeek-V4 Technical Report
ARC-AGI-2 Abstraction and Reasoning Corpus for AGI v2	61.25	Visual pattern completion and abstract reasoning	Expert-level — hardest public reasoning benchmark	ARC-AGI-2: A Harder General Intelligence Benchmark
AA-LCR Artificial Analysis Long Context Reasoning	80.3	Long-context reasoning tasks	Long-context reasoning	Artificial Analysis model benchmarks
MLCR-AA Medical Long Context Reasoning (MLCR-AA)	17.8	Long, fragmented medical-record reasoning	Long-context medical reasoning	Medical Long Context Reasoning (MLCR-AA)
CritPt Critical Physics Tasks	18.0	Research-level physics questions	Research-level physics reasoning	CritPt Benchmark Leaderboard

Benchmark	Value	Tasks	Difficulty	Provenance
AA AutomationBench Artificial Analysis AutomationBench	56.7	Business-process automation tasks	Agentic automation	Artificial Analysis AutomationBench Benchmark Leaderboard
AA EnterpriseOps-Gym Artificial Analysis EnterpriseOps-Gym	49.6	Enterprise operations workflows	Enterprise agent operations	Artificial Analysis EnterpriseOps-Gym Benchmark Leaderboard
AA Tau3 Banking Artificial Analysis Tau3-Banking	39.6	Banking tool-use workflows	Agentic banking workflows	Artificial Analysis Tau3-Banking Benchmark Leaderboard
Terminal-Bench 2.0 Terminal-Bench 2.0	67.9	Terminal-based software tasks	Professional software engineering	Terminal-Bench 2.0
Terminal-Bench 2.1 Terminal-Bench 2.1	87.9	Terminal-based software-agent tasks	Professional software engineering	Terminal-Bench
BrowseComp BrowseComp	83.4	Research questions requiring browsing	Hard web research	BrowseComp
HLE w/ tools Humanity's Last Exam with tools	60.0	Expert questions with tool use	Frontier tool-augmented reasoning	DeepSeek-V4 Technical Report
GDPval-AA GDPval-AA	1306	Agentic real-world work tasks	Professional agentic workflows	DeepSeek-V4 Technical Report
GDPval-AA GDPval-AA normalized	54.5	Economically valuable tasks	Professional agentic workflows	Artificial Analysis model benchmarks
AA Agentic Index Artificial Analysis Agentic Index	49.6	Cross-benchmark agentic index	Display-only external reference	Artificial Analysis model leaderboards
AA Terminal-Bench 4.0 Artificial Analysis Terminal-Bench v4.0	14.1	Terminal-based agent tasks	Agentic software engineering	Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard
APEX-Agents-AA APEX-Agents-AA	24.3	452 professional-services agent tasks	Long-horizon workplace agent tasks	APEX-Agents-AA Benchmark Leaderboard
CyberGym CyberGym	83.3	1,507 vulnerability analysis instances	Real-world cybersecurity	CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
MCP Atlas MCP Atlas	73.6	Tool-integrated agent tasks	Advanced tool use	Introducing GPT-5.4 mini and nano
Toolathlon Toolathlon	51.8	Multi-tool workflows	Advanced tool use	Introducing GPT-5.4 mini and nano
Toolathlon-Verified Toolathlon-Verified	74.1	Verified multi-tool workflows	Advanced tool use	Kimi K3: Open Frontier Intelligence
AutomationBench AutomationBench	31.8	600 public automation tasks	Long-horizon automation	Kimi K3: Open Frontier Intelligence
Agents' Last Exam Agents' Last Exam	25.7	Agent tasks	Advanced agentic work	DeepSeek V4 Flash 0731 update
τ²-bench results τ²-Bench Tool-Agent-User Evaluation	96.2	Airline, retail, and telecom customer-service task sets	Dual-control customer-service workflows	τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Terminal-Bench 2.1 (Vals) Terminal-Bench 2.1, Vals AI run	54.7	Difficult terminal tasks	Frontier agentic	Vals AI Terminal-Bench 2.1, Vals AI run leaderboard

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