DeepSeek-V4-Flash-Max: API Pricing, Context Window & Benchmarks
DeepSeek-V4-Flash-Max is a language model from DeepSeek, released in April 2026, with a 1.0M-token context window, and pricing from $0.100/M input and $0.200/M output.
DeepSeek-V4-Flash-Max is the maximum reasoning effort mode of DeepSeek-V4-Flash, a 284B-parameter MoE model with 13B activated parameters and a 1M-token context window. Sharing the V4 series' hybrid attention architecture (Compressed
DeepSeek-V4-Flash-Max benchmarks
Rankings
Quality Tracker
DeepSeek-V4-Flash-Max Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Thu Jul 23 2026DeepSeek-V4-Flash-Max pricing
Providers
DeepSeek-V4-Flash-Max starts at $0.100 per million input tokens and $0.200 per million output tokens via DeepInfra. See all 4 providers below with their per-token pricing, latency, throughput, and modality support.
| Provider | Input $/M | Output $/M | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepInfra | $0.100 | $0.200 | 1.0M/65.5K | 2.29/3.50 | 32/14 | 100.00%(8) | / |
 DeepSeek | $0.140 | $0.280 | 1.0M/393.2K | 1.40/2.67 | 183/11 | 100.00%(21) | / |
 Fireworks | $0.140 | $0.280 | 1.0M/65.5K | 0.78/5.66 | 127/4 | 100.00%(41) | / |
 Novita | $0.140 | $0.280 | 1.0M/131.1K | 3.15/4.90 | 110/2 | 100.00%(15) | / |
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. Success is calculated from completed versus failed requests over the trailing seven days.
DeepSeek-V4-Flash-Max model size
DeepSeek-V4-Flash-Max 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-Max context window
Input and output token limits for DeepSeek-V4-Flash-Max, plus how it ranks on long-context understanding.
DeepSeek-V4-Flash-Max API
Run a request to see the response
Use it in your code
Billed at $0.10 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-max",
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-Max latency
DeepSeek-V4-Flash-Max time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
DeepSeek-V4-Flash-Max examples
Recent arena outputs from DeepSeek-V4-Flash-Max, picked from the highest-ranked matchups.
DeepSeek-V4-Flash-Max license
DeepSeek-V4-Flash-Max 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-Max resources
Official sources for DeepSeek-V4-Flash-Max: api documentation, official playground, source repository, model weights.
DeepSeek-V4-Flash-Max vs other models
The most-compared alternatives to DeepSeek-V4-Flash-Max are Gemini 3 Pro, Gemini 3 Flash, GPT-5 Medium. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like DeepSeek-V4-Flash-Max
Models ranked just above and below DeepSeek-V4-Flash-Max by LLM Stats score.
FAQ
Common questions about DeepSeek-V4-Flash-Max.