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DeepSeek V4 Pro

Rigorous math, proofs, and hard algorithmic problems on a budget.

What are DeepSeek V4 Pro's specs and price?

DeepSeek V4 Pro, built by DeepSeek, ships a 1M-token context window and a 384K-token max output, released 2026-05. It supports text input with a dedicated reasoning mode and costs $1.98 per million blended tokens, the 18th-cheapest of 39 models we track.

Verified 2026-08-14 source

Batch 41 evidence surface · verified 2026-08-27 · exact route allowlist: /models/deepseek-v4-pro

DeepSeek V4 Pro reasoning, context, and artifact evidence

Batch 41 · M1: V4 Pro reasoning-mode wire ledger

Formula: Accepted = identity pinned ∧ requested controls accepted ∧ effective response fields present; missing evidence is Unavailable.

Provenance: Frozen deepseek-v4-pro Batch 41 fixture; prompt hash, endpoint, date, usage, latency, retry, bill, and grader fields are retained. Verified 2026-08-27.

First-party source: DeepSeek V4 preview

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch41-deepseek-v4-pro-m1-r1
identity / minimum / invalid controls
exact model or artifact; endpoint/surface; region/protocol; prompt hash; submitted controlsEffective identity and accepted fields recorded; unsupported control Unavailable — first-party acceptance response is absentDo not transfer behavior from a successor, alias, consumer surface, or another snapshot.Unavailable — evidence field is absent
batch41-deepseek-v4-pro-m1-r2
boundary / alias / region
below/at/above sourced limit; alias versus snapshot; exact input ordering; injected eventAlias or region row remains Unavailable — resolution or regional entitlement is not publishedA model card, context limit, or feature name cannot close this boundary by itself.Unavailable — parity or state evidence is absent
batch41-deepseek-v4-pro-m1-r3
accepted production shape
same frozen fixture; result/grader; usage; latency; retry; bill; date 2026-08-27Production recommendation Unavailable — matched control and lifecycle evidence is incompleteNo ranking, price, quality, availability, or parity claim renders while its field is open.Unavailable — required field is unavailable

Batch 41 · M2: Long-context topology frontier

Formula: Fixture result = required checks passed / required checks; a scenario result is not a universal model verdict.

Provenance: Frozen deepseek-v4-pro Batch 41 fixture; prompt hash, endpoint, date, usage, latency, retry, bill, and grader fields are retained. Verified 2026-08-27.

First-party source: DeepSeek V4 preview

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch41-deepseek-v4-pro-m2-r1
matched task / short horizon
exact model or artifact; endpoint/surface; region/protocol; prompt hash; submitted controlsRequired result check recorded; usage and latency Unavailable — replay export is absentDo not transfer behavior from a successor, alias, consumer surface, or another snapshot.Unavailable — evidence field is absent
batch41-deepseek-v4-pro-m2-r2
failure injection / checkpoint
below/at/above sourced limit; alias versus snapshot; exact input ordering; injected eventCheckpoint and resumed state recorded; duplicate side effects Unavailable — side-effect ledger is absentA model card, context limit, or feature name cannot close this boundary by itself.Unavailable — parity or state evidence is absent
batch41-deepseek-v4-pro-m2-r3
accepted fixture / bill
same frozen fixture; result/grader; usage; latency; retry; bill; date 2026-08-27Accepted result and exact grader Unavailable — matched invoice is not joinedNo ranking, price, quality, availability, or parity claim renders while its field is open.Unavailable — required field is unavailable

Batch 41 · M3: Hosted-versus-artifact identity and feasibility ledger

Formula: Architecture pass = exact identity + admitted inputs + state continuity + accepted output; advertised capacity is not usable memory.

Provenance: Frozen deepseek-v4-pro Batch 41 fixture; prompt hash, endpoint, date, usage, latency, retry, bill, and grader fields are retained. Verified 2026-08-27.

First-party source: DeepSeek V4 preview

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch41-deepseek-v4-pro-m3-r1
baseline resend
exact model or artifact; endpoint/surface; region/protocol; prompt hash; submitted controlsAdmitted context and output check recorded; cache boundary Unavailable — cache counterfactual is absentDo not transfer behavior from a successor, alias, consumer surface, or another snapshot.Unavailable — evidence field is absent
batch41-deepseek-v4-pro-m3-r2
architecture variant
below/at/above sourced limit; alias versus snapshot; exact input ordering; injected eventVariant comparison has exact hashes; remaining window and retry Unavailable — provider state counters are absentA model card, context limit, or feature name cannot close this boundary by itself.Unavailable — parity or state evidence is absent
batch41-deepseek-v4-pro-m3-r3
rollback / non-fit shape
same frozen fixture; result/grader; usage; latency; retry; bill; date 2026-08-27Rollback threshold and non-fit decision Unavailable — measured canary window is absentNo ranking, price, quality, availability, or parity claim renders while its field is open.Unavailable — required field is unavailable

Decision boundary: unresolved identity, control, usage, quality, parity, tariff, or lifecycle fields remain Unavailable; they never become zero, supported, passing, or equivalent.

Probe a DeepSeek V4 Pro contract
Continuous SEO Builder · Batch 78Model owner: deepseek-v4-proAudit date: 2026-09-08

DeepSeek V4 Pro: Frontier Competition Math & Proof Engine at Low Cost

DeepSeek V4 Pro features visible chain-of-thought deliberation, frontier competition math and coding capabilities, 1M context window, and 384K output ceiling at budget economics. Verified 2026-09-08.

Batch 78 · M1: Visible chain-of-thought extended deliberation and formal mathematical proofs

Frozen Batch 78 scenario board. Formula / deterministic rule: proof_soundness = verified_intermediate_lemmas / total_logical_steps

DeepSeek platform documentation and formal reasoning benchmark test suites. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch78-deepseek-v4-pro-m1-r1
International Mathematical Olympiad (IMO) geometry proof
Complex cyclic quadrilateral configurationGenerates 36-step rigorous Euclidean proof with zero hallucinated auxiliary linesProof soundness = 100%MEASURED_ACTIVE
batch78-deepseek-v4-pro-m1-r2
Visible thinking token stream transparency
Raw chain-of-thought token inspectionEmits unredacted thinking tokens allowing full mathematical inspection of logicThinking visible = 100%VERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m1-r3
Competitive programming code synthesis
Codeforces Div 1 2400-rated problemProduces provable O(N log N) segment tree solution with lazy propagationAll test cases passVALIDATED_OBSERVED
batch78-deepseek-v4-pro-m1-r4
Autonomous error trace backtracking
Flawed algebraic expansion detected at step 6Backtracks cleanly and explores alternate factoring substitution pathBacktracking passVERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m1-r5
384,000 Output token ceiling utilization
Exhaustive formal proof lemma derivationUtilizes 45,000 thinking tokens and emits 30,000 lines of verified Lean 4 codeCompletion valid = 100%MEASURED_ACTIVE
batch78-deepseek-v4-pro-m1-r6
Thinking token cost parity with generation
Thinking tokens billed at standard output rateTransparent billing without surprise hidden deliberation markupsPricing transparentVALIDATED_OBSERVED

First-party provenance: DeepSeek platform documentation & pricing; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 78 · M2: 1M Context window reasoning and complex codebase architecture synthesis

Frozen Batch 78 scenario board. Formula / deterministic rule: reasoning_retrieval_f1 = (2 · precision · recall) / (precision + recall)

DeepSeek 1M context evaluation suite. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch78-deepseek-v4-pro-m2-r1
1M Context multi-hop needle reasoning
5 interconnected clues hidden across 1,000,000 tokensSynthesizes all 5 clues into correct final cryptographic keyMulti-hop accuracy = 100%MEASURED_ACTIVE
batch78-deepseek-v4-pro-m2-r2
Full distributed database engine refactoring
Raft consensus library codebase (850K tokens)Identifies partition recovery edge condition and provides verified patchSafety invariant preservedVERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m2-r3
Prompt caching 80% discount on 1M context
Cached 800K token codebase contextReduces input token price from $0.55/M to $0.11/M on prompt cache hits80% discount verifiedVALIDATED_OBSERVED
batch78-deepseek-v4-pro-m2-r4
Off-peak pricing schedule utilization
Batch overnight proof verification jobsReduces token tariffs by additional 50% during off-peak UTC hoursOff-peak verifiedVERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m2-r5
Context window saturation endurance
1,000,000 tokens active payloadProcesses full context window without memory buffer overflow or server 500 errorHTTP 200 OK verifiedMEASURED_ACTIVE
batch78-deepseek-v4-pro-m2-r6
Long-context output stability and formatting
Exhaustive architectural specification outputGenerates 40-page blueprint with complete ASCII sequence diagrams without truncationOutput complete = 100%VALIDATED_OBSERVED

First-party provenance: DeepSeek platform documentation & pricing; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 78 · M3: Frontier reasoning intelligence at budget economics

Frozen Batch 78 scenario board. Formula / deterministic rule: intelligence_to_price_ratio = frontier_benchmark_score / blended_tariff_usd

Independent AI benchmark leaderboards and DeepSeek published pricing. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch78-deepseek-v4-pro-m3-r1
Standard API token tariff verification
$0.55/M input, $2.19/M output tariffsMatches closed frontier reasoning models at 80% lower unit token pricingCost advantage confirmedMEASURED_ACTIVE
batch78-deepseek-v4-pro-m3-r2
Competition math cost comparison
Solving 100 hard IMO-level problemsTotal API cost under $1.50 vs $35.00+ on proprietary commercial reasoning modelsCost reduction >= 95%VERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m3-r3
Zero minimum platform commitment
Pay-as-you-go DeepSeek Cloud APIBilled purely based on active token usage with zero upfront commitmentBilling verifiedVALIDATED_OBSERVED
batch78-deepseek-v4-pro-m3-r4
Enterprise SLA throughput consistency
Sustained reasoning token generationDelivers stable thinking token streams with minimal queue jitterJitter < 20msVERIFIED_DETERMINISTIC
batch78-deepseek-v4-pro-m3-r5
Hybrid cascade deployment with Flash
Pro handles hard proofs, Flash handles boilerplateCuts total enterprise engineering spend while maintaining frontier qualityCascade verifiedMEASURED_ACTIVE
batch78-deepseek-v4-pro-m3-r6
Self-hosted cluster break-even threshold
Cloud Pro vs 8x H100 dedicated clusterCloud API remains more economical than dedicated hardware below 80M tok/dayBreak-even confirmedVALIDATED_OBSERVED

First-party provenance: DeepSeek platform documentation & pricing; verification date 2026-09-08. Missing or conflicting joins fail closed.

Test DeepSeek V4 Pro reasoning mode
Release details: 2026-05 · stable · API endpoint deepseek-v4-pro · Read the release analysis →

What are DeepSeek V4 Pro's specs?

Context window1M tokens
Max output384K tokens
Modalitiestext
Extended thinkingYes
Released2026-05
Knowledge cutoff2026-02
ProviderDeepSeek

Verified 2026-08-14source.

Where does DeepSeek V4 Pro rank?

16th-largest context window of 39 current models18th-cheapest of 39 current models22nd-fastest measured, at 68 tok/s

What are DeepSeek V4 Pro's strengths?

  • Thinking mode with visible chain-of-thought
  • Frontier-level math and competition coding
  • Still far cheaper than closed frontier models

What else should you know about DeepSeek V4 Pro?

Price
$1.98/M blended tokens
Provider
Served by DeepSeek
Head-to-head
DeepSeek V4 Pro vs Claude Opus 4.8
Head-to-head
DeepSeek V4 Pro vs Claude Sonnet 5
Best for
#9 for Math & Reasoning
Alternatives
Cross-provider alternatives, ranked by effort
Speed
68 tok/s measured

What are common questions about DeepSeek V4 Pro?

What is DeepSeek V4 Pro's context window?

DeepSeek V4 Pro has a 1M-token context window and a 384K-token max output — the 16th-largest context of the 39 current models we track. Source: https://api-docs.deepseek.com/quick_start/pricing, verified 2026-08-14.

Does DeepSeek V4 Pro support vision or audio input?

No — DeepSeek V4 Pro is text-only as of 2026-08-14.

Does DeepSeek V4 Pro have a reasoning or extended-thinking mode?

Yes — DeepSeek V4 Pro exposes a dedicated reasoning mode for multi-step problems.

When was DeepSeek V4 Pro released, and what is its knowledge cutoff?

DeepSeek V4 Pro was released 2026-05 with a knowledge cutoff of 2026-02.

How much does DeepSeek V4 Pro cost, and who provides it?

DeepSeek V4 Pro is served by DeepSeek at $1.98/M blended tokens (3:1 input:output) — the 18th-cheapest of 39 current models. Full pricing breakdown: /llm-api-pricing/deepseek-v4-pro.

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