DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.001120
Output: $0.001120
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 400,000 input tokens and 4,000 output tokens:
- Input Cost: $0.056000 (rounded ~ $0.06)
- Output Cost: $0.001120
- Total Cost: $0.013216 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000033
- Tokens per dollar: 30,569,007 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: 11 minutes, 5.23 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
|
$0.008500 (rounded ~ $0.01) Best Value | ↓ 35.7% cheaper |
| 🥈 |
Nemotron 3 Super
NVIDIA
|
$0.009220 | ↓ 30.2% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.010900 | ↓ 17.5% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.010900 | ↓ 17.5% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.024750 (rounded ~ $0.02) | ↑ 87.3% more |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.034000 (rounded ~ $0.03) | ↑ 157.3% more |
| #7 |
Gemini 3.6 Flash
Google
|
$0.049500 | ↑ 274.5% more |
| #8 |
Gemini 3.5 Flash
Google
|
$0.051000 | ↑ 285.9% more |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.066000 (rounded ~ $0.07) | ↑ 399.4% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.068000 (rounded ~ $0.07) | ↑ 414.5% more |
| #11 |
GPT-5.6 Terra
OpenAI
|
$0.085000 (rounded ~ $0.09) | ↑ 543.2% more |
| #12 |
Claude Sonnet 4.6
Anthropic
|
$0.099000 (rounded ~ $0.10) | ↑ 649.1% more |
| #13 |
Claude Opus 4.7
Anthropic
|
$0.165000 (rounded ~ $0.17) | ↑ 1148.5% more |
| #14 |
Claude Opus 5
Anthropic
|
$0.165000 (rounded ~ $0.17) | ↑ 1148.5% more |
| #15 |
Claude Opus 4.8
Anthropic
|
$0.165000 (rounded ~ $0.17) | ↑ 1148.5% more |
| #16 |
Claude Opus 4.6
Anthropic
|
$0.165000 (rounded ~ $0.17) | ↑ 1148.5% more |
| #17 |
Gemini 2.5 Pro
Google
|
$0.170000 | ↑ 1186.3% more |
| #18 |
GPT-5.6 Sol
OpenAI
|
$0.170000 | ↑ 1186.3% more |
| #19 |
Grok 4.3
xAI
|
$0.240000 | ↑ 1716% more |
| #20 |
Grok 4.20 Beta
xAI
|
$0.240000 | ↑ 1716% more |
| #21 |
Gemini 3.1 Pro
Google
|
$0.260000 | ↑ 1867.3% more |
| #22 |
Claude Fable 5.1
Anthropic
|
$0.270000 | ↑ 1943% more |
| #23 |
Claude Mythos 5.1
Anthropic
|
$0.270000 | ↑ 1943% more |
| #24 |
GPT-5.4
OpenAI
|
$0.325000 (rounded ~ $0.33) | ↑ 2359.1% more |
| #25 |
GPT-5.4 Thinking
OpenAI
|
$0.325000 (rounded ~ $0.33) | ↑ 2359.1% more |
| #26 |
Claude Fable 5
Anthropic
|
$0.330000 | ↑ 2397% more |
| #27 |
Claude Mythos 5
Anthropic
|
$0.330000 | ↑ 2397% more |
| #28 |
GPT-5.5
OpenAI
|
$0.650000 | ↑ 4818.3% more |
| #29 |
GPT-6 Astra
OpenAI
|
$1.320000 | ↑ 9887.9% more |
| #30 |
GPT-6 Astra
OpenAI
|
$1.320000 | ↑ 9887.9% more |
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Scaling SEO content production to 400,000 tokens per month creates a persistent pressure to optimize for efficiency without sacrificing core content quality. For independent copywriters and small agencies operating at this volume, the cost-benefit analysis often shifts toward high-throughput, specialized models designed specifically for rapid content generation.
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For a copywriter managing 100 articles a month, the ability to rely on a model that is fast and efficient allows for a more agile workflow. You can run multiple iterations of a single piece of content to test different angles, headers, or keyword placements without the cost overhead associated with the most powerful reasoning models. When your SEO content strategy relies on volume, consistency, and structural adherence, the efficiency of the V4 Flash architecture is often the most sensible path. It provides enough reasoning depth to remain coherent and relevant, while its lean design ensures that your content operation remains profitable even as you increase your output targets and expand your content calendar.