DeepSeek V4 Flash 0731 (batch)
by DeepSeek · deepseek/deepseek-v4-flash-0731:batch · #76 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
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....
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.11
per 1M tokens
Output
$0.33
per 1M tokens
Blended (3:1)
$0.165
3 input : 1 output
Cache read
$0.0035
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for DeepSeek V4 Flash 0731 (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.165 | $0.0116 | — |
| 50% | $0.125 | $0.006225 | −46% |
| 90% | $0.093 | $0.001965 | −83% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000154 | $0.154 |
| Document summary | 8,000 | 1,000 | $0.00121 | $1.21 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00396 | $3.96 |
| Long-context analysis | 150,000 | 5,000 | $0.0181 | $18.15 |
Performance
Intelligence Index
34.5
AA composite quality
Coding Index
69.1
Math Index
—
Agentic Index
41.7
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,251 |
| UI components | 1,252 |
| Data viz | 1,197 |
| SVG | 1,211 |
| 3D | 1,237 |
| Game dev | 1,233 |
| Code categories | 1,245 |
| ASCII art | 1,111 |
Specs
Context window
1.05M
tokens
Max output
944K
tokens
Input modalities
text
Tokenizer
DeepSeek