by DeepSeek
DeepSeek: DeepSeek V4 Flash 0731.
text
closed
1M ctx
Cheapest input
$0.09/M
on DeepInfra
Cheapest output
$0.18/M
on DeepInfra
Hosted equiv.
~$0.06/hr
@ 100 tok/s on DeepInfra
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.
Hosted API only
No self-host path — closed weights.
DeepSeek: DeepSeek V4 Flash 0731's weights aren't published. Use it via the access providers below.
Where to use it
Cheapest hosted endpoints.
FAQ
Frequently asked.
How do I run DeepSeek: DeepSeek V4 Flash 0731?
DeepSeek: DeepSeek V4 Flash 0731 is a closed-source API model. The cheapest way to access it is through the API providers listed on this page (direct API, aggregators, and hosted chat UIs).
Where can I access DeepSeek: DeepSeek V4 Flash 0731?
DeepSeek: DeepSeek V4 Flash 0731 is available via Fireworks AI, DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run DeepSeek: DeepSeek V4 Flash 0731?
API pricing starts at $0.14/M input tokens and $0.28/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is DeepSeek: DeepSeek V4 Flash 0731 open-source or proprietary?
DeepSeek: DeepSeek V4 Flash 0731 is a proprietary model from DeepSeek. Access is API-only — there are no public weights to download.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for DeepSeek: DeepSeek V4 Flash 0731 across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$1.26
DeepInfra
Most expensive
$1.96
OpenRouter
Spread
$0.7
max − min
Providers
2
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
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Bill breakdown.
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
1M tokens
≈ 786,432 English words
4K
32K
128K
1M
Capabilities
What it can do.
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Vision input
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Audio input
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Video input
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Function calling
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Tool use
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JSON mode
✓
Streaming
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Fine-tuning