DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000140
Output: $0.000140
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 500 output tokens:
- Input Cost: $0.014000 (rounded ~ $0.01)
- Output Cost: $0.000140
- Total Cost: $0.007280 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000072
- Tokens per dollar: 13,804,945 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, 45.62 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
|
$0.001413 Best Value | ↓ 80.6% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.001413 | ↓ 80.6% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.003625 | ↓ 50.2% cheaper |
| #4 |
Nemotron 3 Super
NVIDIA
|
$0.004228 | ↓ 41.9% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.004438 | ↓ 39% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.004438 | ↓ 39% cheaper |
| #7 |
Devstral 2
Mistral AI
|
$0.005613 (rounded ~ $0.01) | ↓ 22.9% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.007063 (rounded ~ $0.01) | ↓ 3% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.010781 | ↑ 48.1% more |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.010875 | ↑ 49.4% more |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.014250 (rounded ~ $0.01) | ↑ 95.7% more |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.014375 (rounded ~ $0.01) | ↑ 97.5% more |
| #13 |
Gemini 3.1 Flash
Google
|
$0.014500 (rounded ~ $0.01) | ↑ 99.2% more |
| #14 |
GPT-5.6 Luna
OpenAI
|
$0.014500 (rounded ~ $0.01) | ↑ 99.2% more |
| #15 |
o4-mini
OpenAI
|
$0.015675 (rounded ~ $0.02) | ↑ 115.3% more |
| #16 |
Gemini 3.6 Flash
Google
|
$0.021563 (rounded ~ $0.02) | ↑ 196.2% more |
| #17 |
Gemini 3.5 Flash
Google
|
$0.021750 (rounded ~ $0.02) | ↑ 198.8% more |
| #18 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025813 (rounded ~ $0.03) | ↑ 254.6% more |
| #19 |
GPT-5.3 Instant
OpenAI
|
$0.025813 (rounded ~ $0.03) | ↑ 254.6% more |
| #20 |
Magistral Medium
Mistral AI
|
$0.028125 (rounded ~ $0.03) | ↑ 286.3% more |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.028750 (rounded ~ $0.03) | ↑ 294.9% more |
| #22 |
GPT-5.6 Terra
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↑ 397.9% more |
| #23 |
Gemini 2.5 Pro
Google
|
$0.036875 (rounded ~ $0.04) | ↑ 406.5% more |
| #24 |
Claude Sonnet 4.6
Anthropic
|
$0.043125 (rounded ~ $0.04) | ↑ 492.4% more |
| #25 |
Grok 4.3
xAI
|
$0.056000 (rounded ~ $0.06) | ↑ 669.2% more |
| #26 |
Grok 4.20 Beta
xAI
|
$0.056000 (rounded ~ $0.06) | ↑ 669.2% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.058000 (rounded ~ $0.06) | ↑ 696.7% more |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 887.3% more |
| #29 |
Claude Opus 5
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 887.3% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 887.3% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 887.3% more |
| #32 |
GPT-5.4
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 895.9% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 895.9% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 895.9% more |
| #35 |
GPT-5.6 Sol
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 895.9% more |
| #36 |
Claude Fable 5.1
Anthropic
|
$0.134375 (rounded ~ $0.13) | ↑ 1745.8% more |
| #37 |
Claude Mythos 5.1
Anthropic
|
$0.134375 (rounded ~ $0.13) | ↑ 1745.8% more |
| #38 |
o3 Deep Research
OpenAI
|
$0.142500 (rounded ~ $0.14) | ↑ 1857.4% more |
| #39 |
Claude Fable 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 1874.6% more |
| #40 |
Claude Mythos 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 1874.6% more |
| #41 |
GPT-5.5
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 1891.8% more |
| #42 |
o3 Pro
OpenAI
|
$0.285000 (rounded ~ $0.29) | ↑ 3814.8% more |
| #43 |
GPT-6 Astra
OpenAI
|
$0.287500 (rounded ~ $0.29) | ↑ 3849.2% more |
| #44 |
GPT-5.2 Pro
OpenAI
|
$0.309750 | ↑ 4154.8% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.309750 | ↑ 4154.8% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
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
Magistral Medium Mistral AI
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
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
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
For social media managers tasked with bulk content generation, identifying the most cost-effective AI solution is key to scaling operations efficiently. DeepSeek V4 Flash distinguishes itself by offering an unparalleled price-to-performance ratio for text-based workloads. This model is specifically designed to handle high-volume text generation, making it an excellent choice for creating thousands of product descriptions, social media captions, or ad variations without significant budget strain. Its core strength lies in its affordability and speed for churning out text content, which is precisely what many content-focused teams require for MVP projects or ongoing content pipelines. While it might not possess the advanced multimodal capabilities or complex reasoning of higher-tier models, its straightforward efficiency in text output makes it a standout for its intended use case. Social media managers can leverage DeepSeek V4 Flash to rapidly populate e-commerce sites, test marketing copy, or maintain a consistent flow of digital content. The model’s substantial context window also adds flexibility, enabling it to process larger prompts for more detailed outputs, ensuring that budget constraints do not limit creative potential in text generation. When choosing an AI, consider not only the per-token cost but also the API reliability and ease of integration for your specific workflow.