deepseek-v4-flash
Fast, efficient DeepSeek model for high-volume, long-context tasks.
Value rank
#2 of 23
intelligence per dollar in our catalogue
Context rank
#1 tied
1M token window
Agentic strength
95%
tau2-bench tool-use success
Benchmarks
Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.
Intelligence index
Coding index
Agentic (tau2-bench)
Best for
Where this model earns its keep.
The numbers
Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.
| Input price | $0.15 |
| Cache read price | $0.04 |
| Output price | $0.30 |
| Context window | 1M tokens |
| Intelligence / coding index | 40.3 / 38.7 |
| Agentic: tau2 / terminal-bench | 95% / 36% |
| GPQA / MMLU-Pro | 89% / - |
Or consider
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kimi-k2.7-code
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Quick start
OpenAI-compatible. Switch in one line.
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "Hello"}],
)
Benchmark data from the Artificial Analysis Intelligence Index v4.1, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.