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DeepSeek V4 Flash (Thinking)

deepseek/deepseek-v4-flash:thinking
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DeepSeek V4 Flash (Thinking)

deepseek/deepseek-v4-flash:thinking

DeepSeek V4 Flash Thinking enables DeepSeek's reasoning mode on the efficiency-optimized Mixture-of-Experts model with a 1M-token context window, built for fast inference, high-throughput workloads, reasoning, coding, and agent workflows.

Added Apr 24, 2026

Model weights

Context Window

1.0M

Max Output

384.0K

Avg output tokens (7d)

701 tokens

54%

Input Price (Auto)

$0.14/1M

Output Price (Auto)

$0.28/1M

Cache Read (Auto)

$0.0028/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

34.5

Better than 90% of models compared

Coding Index

69.1

Better than 81% of models compared

Agentic Index

41.7

Better than 80% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

54.0%

Better than 79% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1253 Elo

Better than 72% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1442 Elo

Better than 82% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

11.0%

Better than 50% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

79.7%

Better than 88% of models compared

Reasoning

HLE

Humanity's Last Exam

38.6%

Better than 90% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

12.1%

Better than 73% of models compared

SciCode

Python programming for scientific computing

50.3%

Better than 61% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

90.8%

Better than 91% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

79.7%

Better than 88% of models compared

Last updated Sep 15, 2026

Artificial Analysis

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