DeepSeek-V4-Flash-0423: API Pricing, Context Window & Benchmarks
DeepSeek-V4-Flash-0423 is a language model from DeepSeek, released in April 2026, with a 1.0M-token context window, and pricing from $0.100/M input, $0.018/M cached input, $0.200/M output.
DeepSeek-V4-Flash-0423 is the preview release of DeepSeek-V4-Flash, a 284B-parameter MoE model with 13B activated parameters and a 1M-token context window, evaluated here at the default high reasoning effort. It shares the V4 series'
DeepSeek-V4-Flash-0423 benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for DeepSeek-V4-Flash-0423 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How DeepSeek-V4-Flash-0423 holds up as conversations get longer.
Quality Tracker
DeepSeek-V4-Flash-0423 Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Sep 07 2026DeepSeek-V4-Flash-0423 pricing
Providers
DeepSeek-V4-Flash-0423 starts at $0.100 per million input tokens and $0.200 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.0180 per million cached input tokens. See all 2 providers below with their per-token pricing, latency, throughput, and modality support.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepInfra | $0.100 | $0.0180 | $0.200 | 1.0M/65.5K | — | — | / |
 Novita | $0.140 | $0.0280 | $0.280 | 1.0M/131.1K | — | — | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
DeepSeek-V4-Flash-0423 model size
DeepSeek-V4-Flash-0423 has 284 billion parameters and was trained on 32 trillion tokens. See how it compares to other models in the same parameter range.
DeepSeek-V4-Flash-0423 context window
Input and output token limits for DeepSeek-V4-Flash-0423, plus how it ranks on long-context understanding.
DeepSeek-V4-Flash-0423 API
Run a request to see the response
Use it in your code
Billed at $0.10 input / $0.02 cached input / $0.20 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="deepseek-v4-flash-0423",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
DeepSeek-V4-Flash-0423 latency
DeepSeek-V4-Flash-0423 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
DeepSeek-V4-Flash-0423 examples
Recent arena outputs from DeepSeek-V4-Flash-0423, picked from the highest-ranked matchups.
DeepSeek-V4-Flash-0423 license
DeepSeek-V4-Flash-0423 is released under the MIT license, which permits commercial use, has 284.0B parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 284.0B
MIT License - allows commercial use
DeepSeek-V4-Flash-0423 resources
Official sources for DeepSeek-V4-Flash-0423: api documentation, official playground, source repository, model weights.
DeepSeek-V4-Flash-0423 vs other models
The most-compared alternatives to DeepSeek-V4-Flash-0423 are Gemini 3 Flash, GPT-5 High, MiMo-V2.5-Pro. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like DeepSeek-V4-Flash-0423
Models ranked just above and below DeepSeek-V4-Flash-0423 by LLM Stats score.
FAQ
Common questions about DeepSeek-V4-Flash-0423.