DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000840
Output: $0.000840
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 3,000 output tokens:
- Input Cost: $0.014000 (rounded ~ $0.01)
- Output Cost: $0.000840
- Total Cost: $0.009352
- Cost per 1K tokens: $0.000091
- Tokens per dollar: 11,013,687 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: 2 minutes, 49.73 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 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001825 Best Value | ↓ 80.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.005125 (rounded ~ $0.01) | ↓ 45.2% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.006675 (rounded ~ $0.01) | ↓ 28.6% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.006675 (rounded ~ $0.01) | ↓ 28.6% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.009125 | ↓ 2.4% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.014813 (rounded ~ $0.01) | ↑ 58.4% more |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.015375 (rounded ~ $0.02) | ↑ 64.4% more |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.019000 (rounded ~ $0.02) | ↑ 103.2% more |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.019750 | ↑ 111.2% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.020500 | ↑ 119.2% more |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.020500 | ↑ 119.2% more |
| #12 |
o4-mini
OpenAI
|
$0.020900 | ↑ 123.5% more |
| #13 |
Gemini 3.6 Flash
Google
|
$0.029625 | ↑ 216.8% more |
| #14 |
Gemini 3.5 Flash
Google
|
$0.030750 | ↑ 228.8% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.038500 (rounded ~ $0.04) | ↑ 311.7% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.038500 (rounded ~ $0.04) | ↑ 311.7% more |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.039500 | ↑ 322.4% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.051250 (rounded ~ $0.05) | ↑ 448% more |
| #19 |
Gemini 2.5 Pro
Google
|
$0.055000 (rounded ~ $0.06) | ↑ 488.1% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.059250 | ↑ 533.6% more |
| #21 |
Grok 4.3
xAI
|
$0.070000 | ↑ 648.5% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.070000 | ↑ 648.5% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.082000 (rounded ~ $0.08) | ↑ 776.8% more |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.098750 (rounded ~ $0.10) | ↑ 955.9% more |
| #25 |
Claude Opus 5
Anthropic
|
$0.098750 (rounded ~ $0.10) | ↑ 955.9% more |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.098750 (rounded ~ $0.10) | ↑ 955.9% more |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.098750 (rounded ~ $0.10) | ↑ 955.9% more |
| #28 |
GPT-5.4
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 996% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 996% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 996% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 996% more |
| #32 |
o3 Deep Research
OpenAI
|
$0.190000 | ↑ 1931.7% more |
| #33 |
Claude Fable 5.1
Anthropic
|
$0.190000 | ↑ 1931.7% more |
| #34 |
Claude Mythos 5.1
Anthropic
|
$0.190000 | ↑ 1931.7% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.197500 (rounded ~ $0.20) | ↑ 2011.8% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.197500 (rounded ~ $0.20) | ↑ 2011.8% more |
| #37 |
GPT-5.5
OpenAI
|
$0.205000 (rounded ~ $0.21) | ↑ 2092% more |
| #38 |
o3 Pro
OpenAI
|
$0.380000 | ↑ 3963.3% more |
| #39 |
GPT-6 Astra
OpenAI
|
$0.395000 (rounded ~ $0.40) | ↑ 4123.7% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.462000 (rounded ~ $0.46) | ↑ 4840.1% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.462000 (rounded ~ $0.46) | ↑ 4840.1% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Scaling SEO content creation often involves significant text processing, from generating variations of headlines to summarizing complex technical documentation for blog posts. For technical writers and indie developers looking to maximize their automation efforts without over-committing to high-end frontier models, DeepSeek V4 Flash has emerged as a highly efficient engine for bulk text processing.
The strength of this model lies in its architecture, which is finely tuned for high-throughput tasks where logic must be maintained but at a lower compute intensity than the most expensive reasoning models. In an SEO workflow, this means you can iterate through hundreds of content drafts, topic clusters, or keyword-optimized outlines with a high degree of speed. It is particularly effective for tasks like mass-producing structured variations of content or refining large datasets for SEO-friendly metadata.
Because the model is designed for efficient, large-scale inference, it allows writers to experiment with more aggressive content expansion strategies—such as generating long-form evergreen guides or comprehensive FAQ sections—without the resource constraints that might stop a project using more premium, reasoning-heavy alternatives. For those who prioritize raw output capacity and need a system that can handle repetitive, rule-based generation with consistent performance, DeepSeek V4 Flash serves as an excellent utility for keeping production velocity high while keeping the underlying infrastructure lean.