DeepSeek V4 Flash DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000560
Output: $0.000560
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 2,000 output tokens:
- Input Cost: $0.001400
- Output Cost: $0.000560
- Total Cost: $0.001411
- Cost per 1K tokens: $0.000118
- Tokens per dollar: 8,503,401 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: 19.93 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
|
$0.000310 Best Value | ↓ 78% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000310 | ↓ 78% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000310 | ↓ 78% cheaper |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000420 | ↓ 70.2% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.000890 | ↓ 36.9% cheaper |
| #6 |
Devstral 2
Mistral AI
|
$0.001090 | ↓ 22.8% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.001150 | ↓ 18.5% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.001550 | ↑ 9.8% more |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.001730 | ↑ 22.6% more |
| #10 |
Gemini 2.5 Flash
Google
|
$0.001730 | ↑ 22.6% more |
| #11 |
Gemini 3.8 Flash
Google
|
$0.003075 | ↑ 117.9% more |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.003450 | ↑ 144.5% more |
| #13 |
o4-mini Deep Research
OpenAI
|
$0.003600 | ↑ 155.1% more |
| #14 |
o4-mini
OpenAI
|
$0.003960 | ↑ 180.6% more |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.004100 | ↑ 190.5% more |
| #16 |
Gemini 3.1 Flash
Google
|
$0.004600 | ↑ 226% more |
| #17 |
GPT-5.6 Luna
OpenAI
|
$0.004600 | ↑ 226% more |
| #18 |
Magistral Medium
Mistral AI
|
$0.005700 (rounded ~ $0.01) | ↑ 303.9% more |
| #19 |
Gemini 3.6 Flash
Google
|
$0.006150 (rounded ~ $0.01) | ↑ 335.8% more |
| #20 |
Gemini 3.5 Flash
Google
|
$0.006900 (rounded ~ $0.01) | ↑ 388.9% more |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.008200 (rounded ~ $0.01) | ↑ 481.1% more |
| #22 |
GPT-5.3 Codex Spark
OpenAI
|
$0.009800 | ↑ 594.4% more |
| #23 |
GPT-5.3 Instant
OpenAI
|
$0.009800 | ↑ 594.4% more |
| #24 |
Grok 4.3
xAI
|
$0.010400 | ↑ 637% more |
| #25 |
Grok 4.20 Beta
xAI
|
$0.010400 | ↑ 637% more |
| #26 |
GPT-5.6 Terra
OpenAI
|
$0.011500 (rounded ~ $0.01) | ↑ 714.9% more |
| #27 |
Claude Sonnet 4.6
Anthropic
|
$0.012300 (rounded ~ $0.01) | ↑ 771.6% more |
| #28 |
Gemini 2.5 Pro
Google
|
$0.014000 (rounded ~ $0.01) | ↑ 892.1% more |
| #29 |
Gemini 3.1 Pro
Google
|
$0.018400 (rounded ~ $0.02) | ↑ 1203.9% more |
| #30 |
Claude Opus 4.7
Anthropic
|
$0.020500 | ↑ 1352.7% more |
| #31 |
Claude Opus 5
Anthropic
|
$0.020500 | ↑ 1352.7% more |
| #32 |
Claude Opus 4.8
Anthropic
|
$0.020500 | ↑ 1352.7% more |
| #33 |
Claude Opus 4.6
Anthropic
|
$0.020500 | ↑ 1352.7% more |
| #34 |
GPT-5.4
OpenAI
|
$0.023000 (rounded ~ $0.02) | ↑ 1529.8% more |
| #35 |
GPT-5.4 Thinking
OpenAI
|
$0.023000 (rounded ~ $0.02) | ↑ 1529.8% more |
| #36 |
GPT-5.5 Instant
OpenAI
|
$0.023000 (rounded ~ $0.02) | ↑ 1529.8% more |
| #37 |
GPT-5.6 Sol
OpenAI
|
$0.023000 (rounded ~ $0.02) | ↑ 1529.8% more |
| #38 |
o3 Deep Research
OpenAI
|
$0.036000 (rounded ~ $0.04) | ↑ 2451% more |
| #39 |
Claude Fable 5.1
Anthropic
|
$0.040250 | ↑ 2752.2% more |
| #40 |
Claude Mythos 5.1
Anthropic
|
$0.040250 | ↑ 2752.2% more |
| #41 |
Claude Fable 5
Anthropic
|
$0.041000 (rounded ~ $0.04) | ↑ 2805.3% more |
| #42 |
Claude Mythos 5
Anthropic
|
$0.041000 (rounded ~ $0.04) | ↑ 2805.3% more |
| #43 |
GPT-5.5
OpenAI
|
$0.046000 (rounded ~ $0.05) | ↑ 3159.6% more |
| #44 |
o3 Pro
OpenAI
|
$0.072000 (rounded ~ $0.07) | ↑ 5002% more |
| #45 |
GPT-6 Astra
OpenAI
|
$0.082000 (rounded ~ $0.08) | ↑ 5710.7% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.117600 (rounded ~ $0.12) | ↑ 8233.3% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$0.117600 (rounded ~ $0.12) | ↑ 8233.3% more |
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Nemotron 3 Super NVIDIA
Devstral 2 Mistral AI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Magistral Medium Mistral AI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
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
Evaluating Cost-Effectiveness for Code Review Assistants
This analysis focuses on processing 10,000 tokens for code review tasks, a volume suitable for evaluating individual pull requests or smaller code snippets. For academic researchers and indie developers prioritizing budget, understanding the most cost-effective AI models is crucial for prototyping and MVP development.
When aiming for the lowest cost per token, DeepSeek V4 Flash emerges as a compelling option. Its pricing structure is among the most competitive, making it ideal for small-scale, experimental projects where every dollar counts.
DeepSeek V4 Flash: The Budget Champion
DeepSeek V4 Flash is engineered for efficiency, offering a significant context window (1,000,000 tokens) at an exceptionally low price point. For our benchmark of 10,000 tokens, the estimated cost is remarkably low, approximately $0.0014 per call (based on $0.14 per 1 million tokens). This makes it an excellent choice for tasks that can be batched or for frequent testing during development.
While its capabilities are primarily text-focused, its efficiency means that even demanding code review tasks, such as summarizing changes or identifying potential bugs in smaller diffs, can be handled without breaking the bank. Its ‘thinking’ and ‘cache’ capabilities also suggest potential for optimizing repeated analysis tasks.
- Model Name: DeepSeek V4 Flash
- Provider: DeepSeek
- Context Window: 1,000,000 tokens
- Pricing (per 1M tokens): $0.14 (input) / $0.28 (output)
- Estimated Cost for 10K Tokens: ~$0.0014
- Key Capabilities: text, cache, thinking
Use Case: Code Review Assistant
For a code review assistant prototype, DeepSeek V4 Flash can process pull request diffs within the 10K token range. While it might not offer the most sophisticated reasoning for complex architectural suggestions, it excels at quick analysis, summarization of changes, and flagging basic issues. This allows developers to iterate rapidly on their AI tools without incurring high operational costs.
The model’s affordability makes it suitable for hobbyists, students, or developers building an MVP who need to validate their ideas quickly. The large context window, though not fully utilized in this 10K token scenario, provides headroom for future scaling if needed.
Best Use Cases: Cost-sensitive text analysis, rapid prototyping of AI assistants, and scenarios where high-volume, low-complexity tasks are dominant.