DeepSeek R1 DeepSeek
$0.099360
Total Cost
⚠️ This model is now in Legacy mode. Results are based on last-known pricing.
Vision/Images
✗ Not Available
Audio Processing
✗ Not Available
Video Analysis
✗ Not Available
Tool Usage
✗ Not Available
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✓ Available
98% savings
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.131700 (rounded ~ $0.13)
Input: $0.066000 (rounded ~ $0.07)
Output: $0.065700 (rounded ~ $0.07)
Output: $0.065700 (rounded ~ $0.07)
Optimized Cost
$0.099360
Input: $0.066000 (rounded ~ $0.07)
Output: $0.065700 (rounded ~ $0.07)
Unit: $0.000000
Fees: $0.000000
Output: $0.065700 (rounded ~ $0.07)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.032340 (rounded ~ $0.03)
24.6% discount
Detailed Cost Analysis (from Plugin)
For 120,000 input tokens and 30,000 output tokens:
- Input Cost: $0.066000 (rounded ~ $0.07)
- Output Cost: $0.065700 (rounded ~ $0.07)
- Total Cost: $0.099360
- Cost per 1K tokens: $0.000662
- Tokens per dollar: 1,509,662 tokens
- Context Window: 163840 tokens
Speed & Performance Analysis
With a processing speed of 120 tokens per second and 220ms time to first token:
- Processing Time: 22 minutes, 5.18 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 120 tokens/second
- Effective Throughput: 113 tokens/second (temperature-adjusted)
Best Use Cases
High-volume academic drafting and systematic reviews where logical consistency and cost-efficiency are prioritized.
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← Back to DeepSeek R1
📋 Active Input Parameters
Input Tokens:
120,000
Output Tokens:
30,000
Batch API:
Enabled (50% discount)
Cached Tokens:
50%
| Rank | AI Model & Provider | Total Cost | vs DeepSeek R1 |
|---|---|---|---|
| 🏆 |
Devstral Small 2
Mistral AI
|
$0.003900 Best Value | ↓ 96.1% cheaper |
| 🥈 |
Nemotron 3 Super
NVIDIA
|
$0.011100 (rounded ~ $0.01) | ↓ 88.8% cheaper |
| 🥉 |
Devstral 2
Mistral AI
|
$0.013350 (rounded ~ $0.01) | ↓ 86.6% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.015375 (rounded ~ $0.02) | ↓ 84.5% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.019500 | ↓ 80.4% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.023700 (rounded ~ $0.02) | ↓ 76.1% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.023700 (rounded ~ $0.02) | ↓ 76.1% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.040500 | ↓ 59.2% cheaper |
| #9 |
GPT-5.4 mini
OpenAI
|
$0.046125 (rounded ~ $0.05) | ↓ 53.6% cheaper |
| #10 |
o4-mini
OpenAI
|
$0.051150 (rounded ~ $0.05) | ↓ 48.5% cheaper |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.054000 (rounded ~ $0.05) | ↓ 45.7% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.061500 (rounded ~ $0.06) | ↓ 38.1% cheaper |
| #13 |
GPT-5.6 Luna
OpenAI
|
$0.061500 (rounded ~ $0.06) | ↓ 38.1% cheaper |
| #14 |
Gemini 3.6 Flash
Google
|
$0.081000 | ↓ 18.5% cheaper |
| #15 |
Gemini 3.5 Flash
Google
|
$0.092250 (rounded ~ $0.09) | ↓ 7.2% cheaper |
| #16 |
Claude Sonnet 5
Anthropic
|
$0.108000 (rounded ~ $0.11) | ↑ 8.7% more |
| #17 |
Grok 4.3
xAI
|
$0.126000 (rounded ~ $0.13) | ↑ 26.8% more |
| #18 |
Grok 4.20 Beta
xAI
|
$0.126000 (rounded ~ $0.13) | ↑ 26.8% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.133875 (rounded ~ $0.13) | ↑ 34.7% more |
| #20 |
GPT-5.6 Terra
OpenAI
|
$0.153750 (rounded ~ $0.15) | ↑ 54.7% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.162000 (rounded ~ $0.16) | ↑ 63% more |
| #22 |
Gemini 2.5 Pro
Google
|
$0.191250 (rounded ~ $0.19) | ↑ 92.5% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.246000 (rounded ~ $0.25) | ↑ 147.6% more |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.270000 | ↑ 171.7% more |
| #25 |
Claude Opus 5
Anthropic
|
$0.270000 | ↑ 171.7% more |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.270000 | ↑ 171.7% more |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.270000 | ↑ 171.7% more |
| #28 |
GPT-5.4
OpenAI
|
$0.307500 (rounded ~ $0.31) | ↑ 209.5% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.307500 (rounded ~ $0.31) | ↑ 209.5% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.307500 (rounded ~ $0.31) | ↑ 209.5% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.307500 (rounded ~ $0.31) | ↑ 209.5% more |
| #32 |
o3 Deep Research
OpenAI
|
$0.465000 (rounded ~ $0.47) | ↑ 368% more |
| #33 |
Claude Fable 5.1
Anthropic
|
$0.528750 (rounded ~ $0.53) | ↑ 432.2% more |
| #34 |
Claude Mythos 5.1
Anthropic
|
$0.528750 (rounded ~ $0.53) | ↑ 432.2% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.540000 | ↑ 443.5% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.540000 | ↑ 443.5% more |
| #37 |
GPT-5.5
OpenAI
|
$0.615000 (rounded ~ $0.62) | ↑ 519% more |
| #38 |
o3 Pro
OpenAI
|
$0.930000 | ↑ 836% more |
| #39 |
GPT-6 Astra
OpenAI
|
$1.080000 | ↑ 987% more |
| #40 |
GPT-6 Astra
OpenAI
|
$1.080000 | ↑ 987% more |
🏆
Devstral Small 2
Devstral Small 2 Mistral AI
$0.003900
vs DeepSeek R1:
↓ 96.1%
🥈
Nemotron 3 Super
Nemotron 3 Super NVIDIA
$0.011100 (rounded ~ $0.01)
vs DeepSeek R1:
↓ 88.8%
🥉
Devstral 2
Devstral 2 Mistral AI
$0.013350 (rounded ~ $0.01)
vs DeepSeek R1:
↓ 86.6%
#4
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.015375 (rounded ~ $0.02)
vs DeepSeek R1:
↓ 84.5%
#5
Mistral Large 3
Mistral Large 3 Mistral AI
$0.019500
vs DeepSeek R1:
↓ 80.4%
#6
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.023700 (rounded ~ $0.02)
vs DeepSeek R1:
↓ 76.1%
#7
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.023700 (rounded ~ $0.02)
vs DeepSeek R1:
↓ 76.1%
#8
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.040500
vs DeepSeek R1:
↓ 59.2%
#9
GPT-5.4 mini
GPT-5.4 mini OpenAI
$0.046125 (rounded ~ $0.05)
vs DeepSeek R1:
↓ 53.6%
#10
o4-mini
o4-mini OpenAI
$0.051150 (rounded ~ $0.05)
vs DeepSeek R1:
↓ 48.5%
#11
Claude Haiku 4.5
Claude Haiku 4.5 Anthropic
$0.054000 (rounded ~ $0.05)
vs DeepSeek R1:
↓ 45.7%
#12
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.061500 (rounded ~ $0.06)
vs DeepSeek R1:
↓ 38.1%
#13
GPT-5.6 Luna
GPT-5.6 Luna OpenAI
$0.061500 (rounded ~ $0.06)
vs DeepSeek R1:
↓ 38.1%
#14
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.081000
vs DeepSeek R1:
↓ 18.5%
#15
Gemini 3.5 Flash
Gemini 3.5 Flash Google
$0.092250 (rounded ~ $0.09)
vs DeepSeek R1:
↓ 7.2%
#16
Claude Sonnet 5
Claude Sonnet 5 Anthropic
$0.108000 (rounded ~ $0.11)
vs DeepSeek R1:
↑ 8.7%
#17
Grok 4.3
Grok 4.3 xAI
$0.126000 (rounded ~ $0.13)
vs DeepSeek R1:
↑ 26.8%
#18
Grok 4.20 Beta
Grok 4.20 Beta xAI
$0.126000 (rounded ~ $0.13)
vs DeepSeek R1:
↑ 26.8%
#19
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.133875 (rounded ~ $0.13)
vs DeepSeek R1:
↑ 34.7%
#20
GPT-5.6 Terra
GPT-5.6 Terra OpenAI
$0.153750 (rounded ~ $0.15)
vs DeepSeek R1:
↑ 54.7%
#21
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.162000 (rounded ~ $0.16)
vs DeepSeek R1:
↑ 63%
#22
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.191250 (rounded ~ $0.19)
vs DeepSeek R1:
↑ 92.5%
#23
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.246000 (rounded ~ $0.25)
vs DeepSeek R1:
↑ 147.6%
#24
Claude Opus 4.7
Claude Opus 4.7 Anthropic
$0.270000
vs DeepSeek R1:
↑ 171.7%
#25
Claude Opus 5
Claude Opus 5 Anthropic
$0.270000
vs DeepSeek R1:
↑ 171.7%
#26
Claude Opus 4.8
Claude Opus 4.8 Anthropic
$0.270000
vs DeepSeek R1:
↑ 171.7%
#27
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.270000
vs DeepSeek R1:
↑ 171.7%
#28
GPT-5.4
GPT-5.4 OpenAI
$0.307500 (rounded ~ $0.31)
vs DeepSeek R1:
↑ 209.5%
#29
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.307500 (rounded ~ $0.31)
vs DeepSeek R1:
↑ 209.5%
#30
GPT-5.5 Instant
GPT-5.5 Instant OpenAI
$0.307500 (rounded ~ $0.31)
vs DeepSeek R1:
↑ 209.5%
#31
GPT-5.6 Sol
GPT-5.6 Sol OpenAI
$0.307500 (rounded ~ $0.31)
vs DeepSeek R1:
↑ 209.5%
#32
o3 Deep Research
o3 Deep Research OpenAI
$0.465000 (rounded ~ $0.47)
vs DeepSeek R1:
↑ 368%
#33
Claude Fable 5.1
Claude Fable 5.1 Anthropic
$0.528750 (rounded ~ $0.53)
vs DeepSeek R1:
↑ 432.2%
#34
Claude Mythos 5.1
Claude Mythos 5.1 Anthropic
$0.528750 (rounded ~ $0.53)
vs DeepSeek R1:
↑ 432.2%
#35
Claude Fable 5
Claude Fable 5 Anthropic
$0.540000
vs DeepSeek R1:
↑ 443.5%
#36
Claude Mythos 5
Claude Mythos 5 Anthropic
$0.540000
vs DeepSeek R1:
↑ 443.5%
#37
GPT-5.5
GPT-5.5 OpenAI
$0.615000 (rounded ~ $0.62)
vs DeepSeek R1:
↑ 519%
#38
o3 Pro
o3 Pro OpenAI
$0.930000
vs DeepSeek R1:
↑ 836%
#39
GPT-6 Astra
GPT-6 Astra OpenAI
$1.080000
vs DeepSeek R1:
↑ 987%
#40
GPT-6 Astra
GPT-6 Astra OpenAI
$1.080000
vs DeepSeek R1:
↑ 987%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.
Scaling Academic Research via Efficient Reasoning
As academic research pipelines grow in volume, the need for cost-efficient reasoning models becomes critical. DeepSeek R1 has emerged as a powerful tool for researchers who need to scale their output without compromising on the logical quality of the draft. By utilizing an architecture specifically optimized for reinforcement learning-based reasoning, it allows for high-throughput drafting at a scale that was previously prohibitive for many independent researchers.
For a daily pipeline processing 150K tokens (120K input / 30K output), DeepSeek R1 offers a unique advantage: it provides ‘thinking’ transparency. You can observe the model’s internal chain-of-thought process as it constructs your literature review. This is invaluable when you are tracking how the model connects disparate research findings or identifies themes across hundreds of pages of source material. It forces a level of accountability in the drafting process that is difficult to find elsewhere.
This model is particularly effective for large-scale systematic reviews where the goal is consistency across hundreds of items. While it may require slightly more structured prompting than the most expensive frontier models, the efficiency gains are substantial for high-volume work. For researchers who are iteratively building a large corpus of work, DeepSeek R1 provides a robust, logical, and economically sustainable path to high-quality academic output.
Frequently Asked Questions
How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly.
We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing.
Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.