DeepSeek

DeepSeek V4 FlashOpen

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.

#403released Jul 30, 2026·Open Weights·Not disclosed
text1.0M ctx
API providersGet API Key →Leaderboard
Intelligence
42.0 #403
AAQI 50.0
Output Speed
113 t/s
TTFT 1.34 s · ITL 8.8 ms/tok
Blended price (3:1)
$0.175 /1M
In $0.14/M · Out $0.28/M
Context
1.0M
≈ 2,500 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V4 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (38)Mathematics (62)Hard Science (GPQA) (41.2)Agentic & Tool Use (35.3)Knowledge (MMLU) (15)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

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Scores by Source

Model Details

Release date
Jul 30, 2026
Parameters
Not disclosed
License
Open Weights
Context Window
1,000,000 tokens
Input Price
$0.14/M
Output Price
$0.28/M
Output Speed
113 t/s
Time to First Token
1.34 s

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026deepseekv4flash,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V4 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-v4-flash}
}

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