DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000168
Output: $0.000168
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 600 output tokens:
- Input Cost: $0.070000
- Output Cost: $0.000168
- Total Cost: $0.063308 (rounded ~ $0.06)
- Cost per 1K tokens: $0.000126
- Tokens per dollar: 7,907,373 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 650 tokens per second and 95ms time to first token:
- Processing Time: 13 minutes, 44.24 seconds
- Latency: 95 milliseconds to first token
- Base Throughput: 650 tokens/second
- Effective Throughput: 607 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to DeepSeek V4 Flash| Rank | AI Model & Provider | Total Cost | vs DeepSeek V4 Flash |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.114650 (rounded ~ $0.11) Best Value | ↑ 81.1% more |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.138000 (rounded ~ $0.14) | ↑ 118% more |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.138000 (rounded ~ $0.14) | ↑ 118% more |
| #4 |
Gemini 3.8 Flash
Google
|
$0.343500 (rounded ~ $0.34) | ↑ 442.6% more |
| #5 |
Gemini 3.1 Flash
Google
|
$0.458600 (rounded ~ $0.46) | ↑ 624.4% more |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.458600 (rounded ~ $0.46) | ↑ 624.4% more |
| #7 |
Gemini 3.6 Flash
Google
|
$0.687000 (rounded ~ $0.69) | ↑ 985.2% more |
| #8 |
Gemini 3.5 Flash
Google
|
$0.687900 (rounded ~ $0.69) | ↑ 986.6% more |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.916000 (rounded ~ $0.92) | ↑ 1346.9% more |
| #10 |
Grok 4.3
xAI
|
$1.140500 | ↑ 1701.5% more |
| #11 |
Grok 4.20 Beta
xAI
|
$1.140500 | ↑ 1701.5% more |
| #12 |
Gemini 2.5 Pro
Google
|
$1.146500 (rounded ~ $1.15) | ↑ 1711% more |
| #13 |
GPT-5.6 Terra
OpenAI
|
$1.146500 (rounded ~ $1.15) | ↑ 1711% more |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$1.374000 (rounded ~ $1.37) | ↑ 2070.3% more |
| #15 |
Gemini 3.1 Pro
Google
|
$1.830800 | ↑ 2791.9% more |
| #16 |
GPT-5.4
OpenAI
|
$2.288500 (rounded ~ $2.29) | ↑ 3514.9% more |
| #17 |
GPT-5.4 Thinking
OpenAI
|
$2.288500 (rounded ~ $2.29) | ↑ 3514.9% more |
| #18 |
Claude Opus 4.7
Anthropic
|
$2.290000 | ↑ 3517.2% more |
| #19 |
Claude Opus 5
Anthropic
|
$2.290000 | ↑ 3517.2% more |
| #20 |
Claude Opus 4.8
Anthropic
|
$2.290000 | ↑ 3517.2% more |
| #21 |
Claude Opus 4.6
Anthropic
|
$2.290000 | ↑ 3517.2% more |
| #22 |
GPT-5.6 Sol
OpenAI
|
$2.293000 (rounded ~ $2.29) | ↑ 3522% more |
| #23 |
Claude Fable 5.1
Anthropic
|
$4.542500 (rounded ~ $4.54) | ↑ 7075.2% more |
| #24 |
Claude Mythos 5.1
Anthropic
|
$4.542500 (rounded ~ $4.54) | ↑ 7075.2% more |
| #25 |
GPT-5.5
OpenAI
|
$4.577000 (rounded ~ $4.58) | ↑ 7129.7% more |
| #26 |
Claude Fable 5
Anthropic
|
$4.580000 | ↑ 7134.5% more |
| #27 |
Claude Mythos 5
Anthropic
|
$4.580000 | ↑ 7134.5% more |
| #28 |
GPT-6 Astra
OpenAI
|
$9.160000 | ↑ 14368.9% more |
| #29 |
GPT-6 Astra
OpenAI
|
$9.160000 | ↑ 14368.9% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.5 OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Drive Down Costs with DeepSeek V4 Flash for High-Volume Emailing
For enterprises managing massive email outreach programs, optimizing AI costs without compromising personalization quality is a significant challenge. DeepSeek V4 Flash emerges as a compelling contender for high-volume text generation tasks, offering exceptional value. This model, with its 1M token context window, is designed for efficiency and speed, making it suitable for generating thousands of personalized emails daily. While it focuses on text and reasoning capabilities, its ability to integrate with tools via its API means it can still access necessary data for crafting unique messages. When planning for monthly volumes of 1 million tokens, DeepSeek V4 Flash provides a cost-effective solution, allowing teams to scale their personalization efforts significantly. Architects should evaluate its performance against specific personalization requirements, considering its strengths in raw text generation and its potential for integration into existing data pipelines to drive down per-email costs effectively.