Model profile
DeepSeek
New in 2026

DeepSeek V4 Pro (Reasoning, High Effort)

DeepSeek V4 Pro (Reasoning, High Effort) is a budget-priced text-first model from DeepSeek with heavy runtime profile, partial context coverage, and the clearest fit around agent workflows / reasoning.

Best for: Agent workflows / ReasoningHeavy latencyN/A contextBudget pricing
Intelligence
49.8

Benchmark blend

Coding
43.3

Dev workflow signal

Context
N/A

N/A

Input Price
$1.74

Budget tier

Decision snapshot
56

DeepSeek V4 Pro (Reasoning, High Effort) currently reads as a budget text-first option with partially published context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Agent workflows / Reasoning
Latency tier
Heavy
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
49.8
50

General reasoning and benchmark headroom.

Situational
Speed
38 tok/s
51

TTFT 1.29s

Situational
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$1.74
86

$3.48 output / 1M

Efficient

Editorial Profile

DeepSeek V4 Pro (Reasoning, High Effort) in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 43Math score N/A

The DeepSeek V4 Pro (Reasoning, High Effort) AI model by DeepSeek.

Identity

DeepSeek text-first profile

Positioning

Agent workflows / Reasoning with partially published context and heavy runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • The available source data suggests a balanced profile rather than one dominant edge.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context limits are only partially published, so long-session planning needs extra validation.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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Context
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Input Price
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Intelligence
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Context
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Input Price
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Intelligence
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Context
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Input Price
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
49.8
GPQA
90.5%
HLE
33.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
43.3
SciCode
46.4%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
71.3%
TAU2
94.2%
TerminalBench Hard
41.7%
LCR
65.0%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$1.74
Output
per 1M output tokens
$3.48
Blended
AA 3:1 mix
$2.17

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.