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See what different jobs could cost.
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$0.05 input · $0.10 outputPer million tokens · USD
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Make your AI budget go further.
Keep your existing agent for planning, decisions and final review. Lithi handles suitable code, data, document and media work at token pricing, helping preserve the allowance that work would consume or reduce comparable API charges.
| Tokens | Rate |
|---|---|
| Input — Instructions and material you send | $0.05 |
| Output — Results you receive | $0.10 |
Storage and data transfer needed for the job, normal checks, retries, delivery, and repair are included.
How is content counted?
Lithi measures text, code, documents and media in tokens. It counts the input processed and the accepted output using the metering profile for that content. For documents, this includes extracted text and any page images read. For images, audio and video, the count depends on what the job needs to process.
Your quote uses these counts to calculate the price. Other providers may count differently, so compare the total cost of the same work.
How does my agent decide what to move?
Your agent reads the relevant Markdown guides, reviews authorized work evidence, and identifies the billing pool the task would use. It compares keeping the work, delegating a bounded part to Lithi, or waiting for a reset.
The comparison counts Lithi’s price, retained agent work and costs outside the included service once. Preserving an included subscription allowance is not cash saved; an API comparison needs equivalent work and current evidence. Ask about code preparation, your agent connection, privacy or the assumptions that change the estimate.
What common jobs cost
Lithi's price for each job, next to three AI models' published batch prices for the same work. Every price links to its source.
| Job | Lithi | OpenAIgpt-6-luna | Gemini 3.1Flash-Lite | ClaudeHaiku 4.5 |
|---|---|---|---|---|
| Documents | ||||
| Translate 5,000 documents1,500 words each, into 10 languages | $15.25 | $30.25 | $88.13 | $302.50 |
| Read 100,000 scanned pages1,024-pixel page image in, about 500 tokens of text out | $25.98 | OpenAI has not published an image-token rule for this model. | $51.65¹ | $198.45¹ |
| Code, for your coding agent | ||||
| Review 10,000 code changes8,000 tokens in, a 1,000-token report out | $5.00 | $6.50 | $17.50 | $65.00 |
| Debug 5,000 failing tests9,600 tokens in, a 1,200-token report out | $3.00 | $3.90 | $10.50 | $39.00 |
| Map 2,000 modules for your agent9,600 tokens in, a 1,200-token summary out | $1.20 | $1.56 | $4.20 | $15.60 |
| Data and evaluation | ||||
| Label 1,000,000 items9,600 tokens in, 1,200 out per item | $600.00 | $780.00 | $2,100.00 | $7,800.00 |
| Classify 5,000,000 records200 tokens in, 10 out per record | $55.00 | $62.50 | $162.50 | $625.00 |
| Score 1,000,000 answers2,000 tokens in, 100 out per answer | $110.00 | $125.00 | $325.00 | $1,250.00 |
| Images | ||||
| Describe 5,000 images1,024 × 1,024 pixels, one pass each | $1.30 | OpenAI has not published an image-token rule for this model. | $2.58¹ | $9.92¹ |
| Video: 500 hours into 10 languages | ||||
| 1Transcribe the speech30,000 minutes | $2.85 | The provider publishes no audio input rate for this model. | $18.90¹ | The provider publishes no audio input rate for this model. |
| 2Translate the subtitles6,000,000 tokens into each of 10 languages | $9.15 | $18.15 | $52.88 | $181.50 |
| 3Find scenes and keyframes180,000 scenes, one about every 10 seconds | $15.75 | The provider publishes no video input rate for this model. | $63.23¹ | The provider publishes no video input rate for this model. |
| 4Choose the clips1,000 calls, one per 30 minutes of video | $0.60 | $0.78 | $2.10 | $7.80 |
| All four video steps1 + 2 + 3 + 4 | $28.35 | gpt-6-luna and Claude Haiku 4.5 publish no audio or video input rate, so they have no total for all four steps. | $137.11¹ | gpt-6-luna and Claude Haiku 4.5 publish no audio or video input rate, so they have no total for all four steps. |
¹ Counted with that model's own media-token rule. — The model publishes no rate for this kind of input.
Each model counts tokens its own way. Lithi figures use the published example metering profile; a signed quote sets the real charge. These are prices for the same work, not a test of output quality. Prices checked 5 October 2026.
AWS and Google Cloud service prices for the document, image and video jobs are in the working below. Compare Lithi with AWS, Google Cloud and AI models.
How each price is worked out
Token sizes per item
To estimate your own job, multiply your item count by a size below, then by the token rates. Your quote sets the real price.
| Work | Input | Output |
|---|---|---|
| Classify a record | 200 tokens | 10 tokens |
| Score an answer | 2,000 tokens | 100 tokens |
| One full-context taskLabel an item, debug a test, map a module or choose clips. | 9,600 tokens | 1,200 tokens |
| Review one code change | 8,000 tokens | 1,000 tokens |
| Translate a 1,500-word document into one language | 2,000 source + 100 instruction tokens | 2,000 tokens |
| Read one image or scanned page, per passA 1,024 × 1,024 image. Finding objects, body points and hand points takes 3 passes. | 4,096 tokens | 500 tokens |
| Transcribe a minute of speech | 1,500 audio tokens | 200 tokens |
| Convert a second of video | 169 tokens (144 picture + 25 sound) | 169 tokens for the converted video |
Translate 5,000 documents into 10 languages
Each 1,500-word document, about 2,000 tokens, is translated into each of 10 languages: 50,000 translations.
Input: 105,000,000 tokens × $0.05 per million = $5.25
Output: 100,000,000 tokens × $0.10 per million = $10.00
Lithi total: $15.25
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $30.25 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $88.13 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $302.50 |
| AWSAmazon TranslateFree monthly allowances are ignored at this volume. | 412,500,000 characters | $6,187.50 |
| Google CloudGoogle Cloud TranslationFree monthly allowances are ignored at this volume. | 412,500,000 characters | $8,250.00 |
Read 100,000 scanned pages into text
Each page is read as one 1,024-pixel image and returned as text.
Input: 419,600,000 tokens × $0.05 per million = $20.98
Output: 50,000,000 tokens × $0.10 per million = $5.00
Lithi total: $25.98
| Product | Measured as | Total |
|---|---|---|
| AWSAmazon Textract DetectDocumentText | 100,000 pages | $150.00 |
| Google CloudGoogle Document AI Enterprise OCRThe first 1,000 free pages each month are ignored at this volume. | 100,000 pages | $150.00 |
| AnthropicClaude Haiku 4.5 (Batch)Input counted at Claude's published 1,369 tokens for a 1,024-pixel page image. | 146,900,000 input + 50,000,000 output tokens | $198.45 |
| GoogleGemini 3.1 Flash-Lite (Batch)Input counted at Gemini's published 1,032 tokens for a 1,024-pixel page image. | 113,200,000 input + 50,000,000 output tokens | $51.65 |
| OpenAIgpt-6-luna (Batch)OpenAI has not published an image-token rule for this model. | Not applicable | No public image-token rule |
Review 10,000 code changes
Each change goes in as one 8,000-token packet with its diff, callers, types and tests. A 1,000-token review report comes back for your coding agent.
Input: 80,000,000 tokens × $0.05 per million = $4.00
Output: 10,000,000 tokens × $0.10 per million = $1.00
Lithi total: $5.00
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $6.50 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $17.50 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $65.00 |
Debug 5,000 failing tests
Each failing test goes in with its log and the code it touches. A short report with the likely cause and a suggested fix comes back.
Input: 48,000,000 tokens × $0.05 per million = $2.40
Output: 6,000,000 tokens × $0.10 per million = $0.60
Lithi total: $3.00
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $3.90 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $10.50 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $39.00 |
Map 2,000 code modules for your coding agent
Each module is read once and summarised, so your coding agent can plan from short reports instead of reading all the code itself.
Input: 19,200,000 tokens × $0.05 per million = $0.96
Output: 2,400,000 tokens × $0.10 per million = $0.24
Lithi total: $1.20
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $1.56 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $4.20 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $15.60 |
Label 1,000,000 items with an AI model
One model call per item: 9,600 input tokens and 1,200 output tokens each.
Input: 9,600,000,000 tokens × $0.05 per million = $480.00
Output: 1,200,000,000 tokens × $0.10 per million = $120.00
Lithi total: $600.00
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $780.00 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $2,100.00 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $7,800.00 |
| AWSAmazon SageMaker Ground Truth automated labellingAn automated labelling service with its own workflow, not an AI-model call. | 1,000,000 objects | $42,000.00 |
| Google CloudGoogle Cloud data labelingGoogle Cloud publishes no current price for an automated labelling service. | Not applicable | No current price |
Classify 5,000,000 short records
One model call per record: 200 input tokens and 10 output tokens each, a compact label with no written reason.
Input: 1,000,000,000 tokens × $0.05 per million = $50.00
Output: 50,000,000 tokens × $0.10 per million = $5.00
Lithi total: $55.00
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $62.50 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $162.50 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $625.00 |
Score 1,000,000 model answers against a rubric
One scoring call per answer: 2,000 input tokens and 100 output tokens each.
Input: 2,000,000,000 tokens × $0.05 per million = $100.00
Output: 100,000,000 tokens × $0.10 per million = $10.00
Lithi total: $110.00
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $125.00 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $325.00 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $1,250.00 |
Label and describe 5,000 keyframe images
One pass over 5,000 images of 1,024 × 1,024 pixels.
Input: 20,980,000 tokens × $0.05 per million = $1.05
Output: 2,500,000 tokens × $0.10 per million = $0.25
Lithi total: $1.30
| Product | Measured as | Total |
|---|---|---|
| AWSAmazon Rekognition Image label detection | 5,000 images | $5.00 |
| Google CloudGoogle Cloud Vision label detectionThe first 1,000 free units each month are ignored at this volume. | 5,000 units | $7.50 |
| AnthropicClaude Haiku 4.5 (Batch)Input counted at Claude's published 1,369 tokens for a 1,024 × 1,024 image. | 7,345,000 input + 2,500,000 output tokens | $9.92 |
| GoogleGemini 3.1 Flash-Lite (Batch)Input counted at Gemini's published 1,032 tokens for a 1,024 × 1,024 image. | 5,660,000 input + 2,500,000 output tokens | $2.58 |
| OpenAIgpt-6-luna (Batch)OpenAI has not published an image-token rule for this model. | Not applicable | No public image-token rule |
Transcribe 500 hours of video
500 hours is 30,000 minutes of speech turned into a text transcript.
Input: 45,000,000 tokens × $0.05 per million = $2.25
Output: 6,000,000 tokens × $0.10 per million = $0.60
Lithi total: $2.85
| Product | Measured as | Total |
|---|---|---|
| AWSAmazon Transcribe (batch) | 30,000 minutes | $180.00 |
| Google CloudGoogle Speech-to-Text V2 (standard) | 30,000 minutes | $480.00 |
| Google CloudGoogle Speech-to-Text V2 (dynamic batch) | 30,000 minutes | $90.00 |
| GoogleGemini 3.1 Flash-Lite (Batch)Input counted at Gemini's published 32 audio tokens per second. | 57,600,000 audio input + 6,000,000 output tokens | $18.90 |
| OpenAIgpt-6-luna (Batch)The provider publishes no audio input rate for this model. | Not applicable | No audio input rate |
| AnthropicClaude Haiku 4.5 (Batch)The provider publishes no audio input rate for this model. | Not applicable | No audio input rate |
Translate the 500-hour transcript into 10 languages
The 6,000,000-token transcript is translated into each of 10 languages.
Input: 63,000,000 tokens × $0.05 per million = $3.15
Output: 60,000,000 tokens × $0.10 per million = $6.00
Lithi total: $9.15
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $18.15 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $52.88 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $181.50 |
| AWSAmazon TranslateFree monthly allowances are ignored at this volume. | 247,500,000 characters | $3,712.50 |
| Google CloudGoogle Cloud TranslationFree monthly allowances are ignored at this volume. | 247,500,000 characters | $4,950.00 |
Find scenes and keyframes in 500 hours of video
A scene list for 500 hours of video, one scene about every 10 seconds.
Input: 304,200,000 tokens × $0.05 per million = $15.21
Output: 5,400,000 tokens × $0.10 per million = $0.54
Lithi total: $15.75
| Product | Measured as | Total |
|---|---|---|
| AWSAmazon Rekognition Video shot detection | 30,000 minutes | $1,500.00 |
| AWSAmazon Rekognition Video label detection | 30,000 minutes | $3,000.00 |
| Google CloudGoogle Video Intelligence shot detectionThe free first minutes each month are ignored at this volume. | 30,000 minutes | $1,500.00 |
| Google CloudGoogle Video Intelligence label detectionThe free first minutes each month are ignored at this volume. | 30,000 minutes | $3,000.00 |
| GoogleGemini 3.1 Flash-Lite (Batch)Input counted at Gemini's published 263 video tokens per second. | 473,400,000 video input + 5,400,000 output tokens | $63.23 |
| OpenAIgpt-6-luna (Batch)The provider publishes no video input rate for this model. | Not applicable | No video input rate |
| AnthropicClaude Haiku 4.5 (Batch)The provider publishes no video input rate for this model. | Not applicable | No video input rate |
Choose clips from 500 hours using the transcript and scene list
One model call per 30 minutes of video: 9,600 input tokens and 1,200 output tokens each.
Input: 9,600,000 tokens × $0.05 per million = $0.48
Output: 1,200,000 tokens × $0.10 per million = $0.12
Lithi total: $0.60
| Product | Measured as | Total |
|---|---|---|
| OpenAIgpt-6-luna (Batch) | Same tokens as Lithi | $0.78 |
| GoogleGemini 3.1 Flash-Lite (Batch) | Same tokens as Lithi | $2.10 |
| AnthropicClaude Haiku 4.5 (Batch) | Same tokens as Lithi | $7.80 |
| AWS and Google CloudManaged clip selectionAWS and Google Cloud publish no price for a managed clip-selection service. | Not applicable | No managed service |
All four video steps
Transcribe, translate and cut 500 hours of video into 10 languages
Input: 421,800,000 tokens × $0.05 per million = $21.09
Output: 72,600,000 tokens × $0.10 per million = $7.26
Lithi total: $28.35
| Provider | Products | Parts | Total |
|---|---|---|---|
| Lithi | LithiLithi ComputeTranscription, translation, scene finding and clip selection | Transcription, translation, scene finding and clip selection | $28.35 |
| GoogleGemini 3.1 Flash-Lite (Batch)$18.90 + $52.88 + $63.23 + $2.10 | $18.90 + $52.88 + $63.23 + $2.10 | $137.11 | |
| AWS | AWSAmazon Transcribe (batch) + Amazon Translate + Amazon Rekognition Video shot detection$180.00 + $3,712.50 + $1,500.00 | $180.00 + $3,712.50 + $1,500.00 | $5,392.50 |
| Google Cloud | Google CloudGoogle Speech-to-Text V2 (dynamic batch) + Google Cloud Translation + Google Video Intelligence shot detection$90.00 + $4,950.00 + $1,500.00 | $90.00 + $4,950.00 + $1,500.00 | $6,540.00 |
AWS and Google Cloud sell no clip-selection service, so their totals cover transcription, translation and scene finding only. gpt-6-luna and Claude Haiku 4.5 publish no audio or video input rate, so they have no total for all four steps.
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Buy credit before your first job and add more only when you choose. Review the purchase and any tax in secure browser checkout. Payment, sharing prepared input and starting work need separate approval; there is no automatic reload or overage debt.
Your paid purchase invoice records the credit you buy. Your monthly usage statement shows accepted work, token counts, rates, credit used and unused releases, with zero prepaid amount due. Existing historical invoices keep their original printed terms.
After customer payments settle, 50% of eligible settled task revenue is allocated to the provider pool for Macs that helped complete accepted work. Lithi uses the rest to run the network and bring in more customers.
Your monthly impact report is a separate document. It shows the work completed, the Macs that took part, and the electricity used and its emissions, each marked measured, estimated or unavailable.
- Monthly usage statement
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Common pricing questions.
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