DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000280
Output: $0.000280
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.007000 (rounded ~ $0.01)
- Output Cost: $0.000280
- Total Cost: $0.007280 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000072
- Tokens per dollar: 13,873,626 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, 46.44 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
|
$0.002575 Best Value | ↓ 64.6% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.002575 | ↓ 64.6% cheaper |
| 🥉 |
Grok Code Fast 1
xAI
|
$0.005375 (rounded ~ $0.01) | ↓ 26.2% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.006625 (rounded ~ $0.01) | ↓ 9% cheaper |
| #5 |
Nemotron 3 Super
Mistral AI
|
$0.007705 (rounded ~ $0.01) | ↑ 5.8% more |
| #6 |
Gemini 2.5 Flash
Google
|
$0.008125 (rounded ~ $0.01) | ↑ 11.6% more |
| #7 |
Llama 4 Scout
Meta AI
|
$0.008300 (rounded ~ $0.01) | ↑ 14% more |
| #8 |
Devstral 2
Mistral AI
|
$0.010225 | ↑ 40.5% more |
| #9 |
Mistral Large 3
Mistral AI
|
$0.012875 (rounded ~ $0.01) | ↑ 76.9% more |
| #10 |
Llama 4 Maverick (400B)
Meta AI
|
$0.015600 (rounded ~ $0.02) | ↑ 114.3% more |
| #11 |
GPT-5.4 mini
OpenAI
|
$0.019875 | ↑ 173% more |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.026000 (rounded ~ $0.03) | ↑ 257.1% more |
| #13 |
Claude Haiku 4.5
Anthropic
|
$0.026250 (rounded ~ $0.03) | ↑ 260.6% more |
| #14 |
Gemini 3.1 Flash
Google
|
$0.026500 (rounded ~ $0.03) | ↑ 264% more |
| #15 |
o4-mini
OpenAI
|
$0.028600 (rounded ~ $0.03) | ↑ 292.9% more |
| #16 |
Grok 4.3
xAI
|
$0.031875 (rounded ~ $0.03) | ↑ 337.8% more |
| #17 |
Gemini 3.5 Flash
Google
|
$0.039750 | ↑ 446% more |
| #18 |
GPT-5.3 Codex Spark
OpenAI
|
$0.047250 (rounded ~ $0.05) | ↑ 549% more |
| #19 |
GPT-5.3 Instant
OpenAI
|
$0.047250 (rounded ~ $0.05) | ↑ 549% more |
| #20 |
Magistral Medium
Mistral AI
|
$0.051250 (rounded ~ $0.05) | ↑ 604% more |
| #21 |
Grok 4.20 Beta
xAI
|
$0.051500 (rounded ~ $0.05) | ↑ 607.4% more |
| #22 |
Llama 3.3 70B
Meta AI
|
$0.061200 (rounded ~ $0.06) | ↑ 740.7% more |
| #23 |
Gemini 2.5 Pro
Google
|
$0.067500 (rounded ~ $0.07) | ↑ 827.2% more |
| #24 |
Claude Sonnet 4.6
Anthropic
|
$0.078750 (rounded ~ $0.08) | ↑ 981.7% more |
| #25 |
Gemini 3.1 Pro
Google
|
$0.106000 (rounded ~ $0.11) | ↑ 1356% more |
| #26 |
Claude Opus 4.7
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 1702.9% more |
| #27 |
Claude Opus 4.8
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 1702.9% more |
| #28 |
Claude Opus 4.6
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 1702.9% more |
| #29 |
GPT-5.4
OpenAI
|
$0.132500 (rounded ~ $0.13) | ↑ 1720.1% more |
| #30 |
GPT-5.4 Thinking
OpenAI
|
$0.132500 (rounded ~ $0.13) | ↑ 1720.1% more |
| #31 |
GPT-5.5 Instant
OpenAI
|
$0.132500 (rounded ~ $0.13) | ↑ 1720.1% more |
| #32 |
o3 Deep Research
OpenAI
|
$0.260000 | ↑ 3471.4% more |
| #33 |
GPT-5.5
OpenAI
|
$0.265000 (rounded ~ $0.27) | ↑ 3540.1% more |
| #34 |
o3 Pro
OpenAI
|
$0.520000 | ↑ 7042.9% more |
| #35 |
GPT-5.2 Pro
OpenAI
|
$0.567000 (rounded ~ $0.57) | ↑ 7688.5% more |
| #36 |
GPT-5.5 Pro
OpenAI
|
$0.795000 (rounded ~ $0.80) | ↑ 10820.3% more |
| #37 |
GPT-5.5 Pro
OpenAI
|
$0.795000 (rounded ~ $0.80) | ↑ 10820.3% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super Mistral AI
Gemini 2.5 Flash Google
Llama 4 Scout Meta AI
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
Llama 4 Maverick (400B) Meta AI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Magistral Medium Mistral AI
Grok 4.20 Beta xAI
Llama 3.3 70B Meta AI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.7 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
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.5 Pro OpenAI
GPT-5.5 Pro OpenAI
Evaluating Budget-Friendly Text Generation
For mobile app developers focused on prototyping or small-scale MVP launches, optimizing AI costs is crucial. This record explores DeepSeek V4 Flash as a prime candidate for generating up to 100,000 tokens of content, such as product descriptions or marketing copy, without breaking the bank.
DeepSeek V4 Flash stands out for its extremely competitive pricing and a generous context window, making it ideal for batch processing of text-intensive tasks. While it may not offer the nuanced reasoning of premium models, its efficiency for straightforward content generation is unparalleled for budget-conscious projects.
When choosing this model, developers should consider its strengths in raw output volume for cost. It’s particularly suited for generating large batches of unique text where the primary goal is cost per token. Decision factors include the need for absolute lowest cost, the ability to process content in batches, and tolerance for standard reasoning capabilities over cutting-edge interpretation.
This model is an excellent choice for indie hackers and side projects aiming to add AI-generated content to their applications without significant upfront investment.