DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.004200
Output: $0.004200
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 15,000 output tokens:
- Input Cost: $0.003500
- Output Cost: $0.004200
- Total Cost: $0.005180 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000080
- Tokens per dollar: 12,548,263 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: 1 minute, 47.18 seconds
- Latency: 95 milliseconds to first token
- Base Throughput: 650 tokens/second
- Effective Throughput: 607 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for DeepSeek V4 Flash. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to DeepSeek V4 Flash| Rank | AI Model & Provider | Total Cost | vs DeepSeek V4 Flash |
|---|---|---|---|
| 🏆 |
Ministral 3 (14B)
Mistral AI
|
$0.001450 Best Value | ↓ 72% cheaper |
| 🥈 |
Mistral Small 3
Mistral AI
|
$0.001475 | ↓ 71.5% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.001475 | ↓ 71.5% cheaper |
| #4 |
Nemotron 3 Super
Mistral AI
|
$0.004125 | ↓ 20.4% cheaper |
| #5 |
Devstral 2
Mistral AI
|
$0.004775 | ↓ 7.8% cheaper |
| #6 |
Grok Code Fast 1
xAI
|
$0.006325 (rounded ~ $0.01) | ↑ 22.1% more |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.006500 (rounded ~ $0.01) | ↑ 25.5% more |
| #8 |
Mistral Large 3
Mistral AI
|
$0.007375 (rounded ~ $0.01) | ↑ 42.4% more |
| #9 |
Gemini 2.5 Flash
Google
|
$0.010425 | ↑ 101.3% more |
| #10 |
Grok 4.3
xAI
|
$0.013750 (rounded ~ $0.01) | ↑ 165.4% more |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.018500 (rounded ~ $0.02) | ↑ 257.1% more |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.019500 | ↑ 276.4% more |
| #13 |
o4-mini
OpenAI
|
$0.020350 | ↑ 292.9% more |
| #14 |
Claude Haiku 4.5
Anthropic
|
$0.022250 (rounded ~ $0.02) | ↑ 329.5% more |
| #15 |
Magistral Medium
Mistral AI
|
$0.025750 (rounded ~ $0.03) | ↑ 397.1% more |
| #16 |
Gemini 3.1 Flash
Google
|
$0.026000 (rounded ~ $0.03) | ↑ 401.9% more |
| #17 |
Grok 4.20 Beta
xAI
|
$0.029500 | ↑ 469.5% more |
| #18 |
Gemini 3.5 Flash
Google
|
$0.039000 (rounded ~ $0.04) | ↑ 652.9% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.058625 (rounded ~ $0.06) | ↑ 1031.8% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.058625 (rounded ~ $0.06) | ↑ 1031.8% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.066750 (rounded ~ $0.07) | ↑ 1188.6% more |
| #22 |
Gemini 2.5 Pro
Google
|
$0.083750 (rounded ~ $0.08) | ↑ 1516.8% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.104000 (rounded ~ $0.10) | ↑ 1907.7% more |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.111250 (rounded ~ $0.11) | ↑ 2047.7% more |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.111250 (rounded ~ $0.11) | ↑ 2047.7% more |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.111250 (rounded ~ $0.11) | ↑ 2047.7% more |
| #27 |
GPT-5.4
OpenAI
|
$0.130000 | ↑ 2409.7% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.130000 | ↑ 2409.7% more |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.130000 | ↑ 2409.7% more |
| #30 |
o3 Deep Research
OpenAI
|
$0.185000 (rounded ~ $0.19) | ↑ 3471.4% more |
| #31 |
GPT-5.5
OpenAI
|
$0.260000 | ↑ 4919.3% more |
| #32 |
o3 Pro
OpenAI
|
$0.370000 | ↑ 7042.9% more |
| #33 |
GPT-5.2 Pro
OpenAI
|
$0.703500 (rounded ~ $0.70) | ↑ 13481.1% more |
| #34 |
GPT-5.2 Pro
OpenAI
|
$0.703500 (rounded ~ $0.70) | ↑ 13481.1% more |
Ministral 3 (14B) Mistral AI
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Nemotron 3 Super Mistral AI
Devstral 2 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 2.5 Flash Google
Grok 4.3 xAI
o4-mini Deep Research OpenAI
GPT-5.4 mini OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Magistral Medium Mistral AI
Gemini 3.1 Flash Google
Grok 4.20 Beta xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
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-5.2 Pro OpenAI
Iterative Drafting at Scale
Research paper drafting is rarely a one-shot process. It involves multiple passes: outlining, drafting sections, revising for flow, and proofreading against citation requirements. If you are a student or independent researcher, running these iterations on top-tier frontier models can lead to unnecessary budget bloat.
DeepSeek V4 Flash provides a highly efficient alternative. It is engineered for cost-effective performance while maintaining the 1-million-token context window that is essential for processing large batches of literature. By utilizing hybrid attention mechanisms, it achieves top-tier efficiency without sacrificing the ability to handle your entire 50,000-token literature review in a single request.
Why DeepSeek V4 Flash fits the researcher’s workflow:
- Rapid Prototyping: The model is exceptionally fast, allowing for quick iterative drafting. You can generate multiple variations of a paragraph or an outline without waiting for slow reasoning cycles.
- Context Retention: Despite its focus on efficiency, it does not compromise on input capacity. You can feed your entire library of references, and the model will retain the context throughout your conversation, ensuring consistency in your arguments.
For mid-tier tasks like drafting outlines, summarizing findings, or basic structural proofreading, DeepSeek V4 Flash is the smart choice. It allows you to preserve your budget for the final, most complex stages of your research where you might need the advanced reasoning capabilities of a more expensive model.