deepseek

deepseek-v4-flash-0731

Top-3 open model: frontier reasoning at flash speed and price.

deepseek 1M context

Value rank

#3 of 18

intelligence per dollar in our catalogue

Context rank

#1 tied

1M token window

Agentic strength

79%

Terminal-Bench v2.1 task completion

Benchmarks

Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.

Intelligence index

glm-5.3
44.9
kimi-k3
43.8

Coding index

kimi-k3
76.2
glm-5.3
74.8

Agentic (Terminal-Bench v2.1)

kimi-k3
85%
glm-5.3
83.9%

Long context

kimi-k3
88.7%
glm-5.3
79.7%

Best for

Where this model earns its keep.

Agentic pipelines and tool use Long-document analysis Coding and engineering Prompt-cached workloads

The numbers

Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.

Input price$0.25
Cache read price$0.06
Output price$0.30
Context window1M tokens
Intelligence / coding index34.5 / 69.1
Agentic: Terminal-Bench v2.1 / tau279% / -
Long-context reasoning80%
GPQA / MMLU-Pro91% / -

Or consider

Close alternatives in the catalogue.

Quick start

OpenAI-compatible. Switch in one line.

# pip install openai
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
    model="deepseek/deepseek-v4-flash-0731",
    messages=[{"role": "user", "content": "Hello"}],
)

Benchmark data from the Artificial Analysis Intelligence Index, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.