DeepSeek V4.1 Flash 1017 Thinking
The October 17, 2026 snapshot of DeepSeek V4.1 Flash supports text and image input, tool calling, and optional reasoning with low, high, and max effort. It has a shared 1,048,576-token context window and supports up to 393,216 output tokens within the remaining context. Released under the MIT license.
- Reasoning
- Vision
- Tool Calling
Added Oct 17, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.100
- Output
- $0.60
- Cache read
- $0.0030
Specifications
- Context window
- 1M
- Max output
- 393.2K
- Avg output (7d)
- 1.3K tokens
- Longer than 78% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
45.1
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
66.6%
Better than 95% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
36.7%
Better than 93% of models compared
AA-Briefcase v1.1
Agentic knowledge work (Elo)
1570 Elo
Better than 91% of models compared
GDPval-AA v2.1
Economically valuable tasks (Elo)
1746 Elo
Better than 98% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
17.2%
Better than 63% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
82.7%
Better than 94% of models compared
Reasoning
HLE
Humanity's Last Exam
43.3%
Better than 91% of models compared
CritPt
Research-level physics reasoning
14.3%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
33.8%
Better than 83% of models compared
SciCode
Python programming for scientific computing
55.9%
Better than 82% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
46.4%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
96.5%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
82.7%
Better than 94% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
55.0%
Last updated Oct 22, 2026
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