Requesty
TensorX Ltd.

deepseek-v4-flash-0731

DeepSeek V4 Flash 0731 is the July 31 update of DeepSeek's efficiency-optimized MoE model (284B total, 13B active parameters) with a 1M-token context window. It is built for fast inference and high-throughput workloads while keeping strong reasoning and coding performance. Reasoning is toggleable and off by default.

ReasoningTool callingCachingJSON schema
CompareDocs

Specifications

Context window1.0M tokens
Max output1.0M tokens
API typechat
AddedAug 6, 2026
Model ID
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU
Privacy policyTensorX Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the TensorX Ltd. models overview.

Pricing

Prices updated August 7, 2026
Input / 1M
$0.25
Output / 1M
$0.30
Cache write
N/A
Cache read / 1M
$0.06
Estimated cost
100K input + 10K output$0.0280
1M input + 100K output$0.28
10M input + 1M output$2.80

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to tensorx/deepseek-v4-flash-0731.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="tensorx/deepseek-v4-flash-0731",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other TensorX Ltd. models

kimi-k3
1.0M ctx$3.00/1M
Coding 76
minimax-m3
1.0M ctx$0.40/1M
Coding 59
deepseek-v4-flash
1.0M ctx$0.15/1M
Coding 69
deepseek-v4-pro
1.0M ctx$1.75/1M
Coding 59
glm-5.2
1.0M ctx$1.50/1M
Coding 69
kimi-k2.7-code
262K ctx$1.25/1M
Coding 61

Frequently asked questions

How much does deepseek-v4-flash-0731 cost?
deepseek-v4-flash-0731 is priced at $0.25 per million input tokens and $0.30 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of deepseek-v4-flash-0731?
deepseek-v4-flash-0731 has a context window of 1.0M tokens, with a maximum output of 1.0M tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can deepseek-v4-flash-0731 do?
deepseek-v4-flash-0731 supports tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek-v4-flash-0731 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "tensorx/deepseek-v4-flash-0731". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run deepseek-v4-flash-0731 through Requesty?
Yes. deepseek-v4-flash-0731 runs through Requesty's OpenAI-compatible API, served from TensorX Ltd.. You do not host the model yourself: point base_url at Requesty, set the model to "tensorx/deepseek-v4-flash-0731", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access deepseek-v4-flash-0731 through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All TensorX Ltd. models