DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is the official release of V4 Flash, re-post-trained from the preview build rather than re-pretrained. The architecture, size, 1M-token context and per-token price are all unchanged, but agentic and coding performance moved sharply: it scores 52 on the Artificial Analysis Intelligence Index against 40 for the preview, gains 17 points on Terminal-Bench 2.1, and cuts its hallucination rate by 12 points. Knowledge benchmarks barely shifted, so the gain is in doing rather than knowing. Reach for it on tool-use loops, coding agents, and long-running automation where the preview fell short. The preview build stays available under the original id for anyone who needs the exact behaviour they built against.
Pricing
Input
$0.140 / 1M
Output
$0.280 / 1M
Pay only for what you use. No subscriptions, no minimums.
Specs
- Context
- 1M
- Max output
- 384K
- Latency
- Fast
- Category
- Text
- Arabic
- Partial
Quick start
Use any OpenAI-compatible client. Just change base_url and your key.
from openai import OpenAI
client = OpenAI(
api_key="tl-xxxxxxxxxxxxxxxxxxxxxxxx",
base_url="https://api.thalam.ai/v1",
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-flash-0731",
messages=[
{"role": "user", "content": "Hello from Thalam!"}
],
)
print(response.choices[0].message.content)Similar models
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