DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with a 1M-token context window, built for advanced reasoning, coding, long-horizon agent workflows, knowledge, math, and software engineering tasks.
- Reasoning
- Tool Calling
- Structured Output
Added Apr 24, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.70
- Output
- $1.40
- Cache read
- $0.070
Specifications
- Context window
- 1M
- Max output
- 384K
- Parameters
- 1.6T / 49B
- Total / active
- Avg output (7d)
- 473 tokens
- Longer than 43% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
36.0
Coding Index
68.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
56.7%
Better than 78% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
25.9%
Better than 79% of models compared
AA-Briefcase v1.1
Agentic knowledge work (Elo)
1257 Elo
Better than 64% of models compared
GDPval-AA v2.1
Economically valuable tasks (Elo)
1450 Elo
Better than 79% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.4%
Better than 47% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
80.3%
Better than 87% of models compared
MLCR-AA
Medical long-context reasoning
17.8%
Better than 60% of models compared
Reasoning
HLE
Humanity's Last Exam
41.0%
Better than 88% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
14.1%
Better than 67% of models compared
SciCode
Python programming for scientific computing
51.0%
Better than 57% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
92.8%
Better than 95% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
80.3%
Better than 87% of models compared
Last updated Oct 19, 2026
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