AI model credit rates
Updated 2026-04-18
Credits are the only unit you need to think about in the product. Intelligence tools run against your organization’s credit balance; when a run uses language, image, or video models, the platform measures tokens, images, or seconds and converts them into settled credit debits using the same catalog basis summarized below.
Use this page when you compare models, sanity-check a heavy job, or align finance with ops. Everyday tasks like topping up stay on Credits & billing.
Credits as the platform unit
- Balance lives on the organization, not your personal login.
- Subscriptions and top-ups increase that balance in whole credits.
- Each run either charges a predictable credit fee for the tool (see Tools overview) or settles against metered usage when you pick premium models or generate lots of media.
- Fractional usage still stacks up in credits—token tables below use per 10,000 tokens so numbers stay easy to relate to typical prompts.
Fixed tool fees vs metered settlement
Many tools advertise a flat credit cost per execution so planning stays simple. When you override models or produce long outputs, settlement follows actual tokens / images / seconds from your run against the same reference rates. A small authorization hold may apply when the run starts; the final debit lines up with metered usage and can be higher when usage is heavy—your run detail is the authoritative breakdown.
How to read the tables
All numeric cells are credits. Headers state the denominator: 10k tokens, one image / MP, or one second of video.
Text & token-priced image (per 10k tokens)
Three columns—input, output, and read (for repeated/cached context where applicable). Figures are credits per 10,000 tokens. If read is marked “—”, that model does not expose a separate read line in this reference.
Native image (per image or per megapixel)
The native block lists total credits per generated asset—either one image or one megapixel, as shown in the basis column—when billing is not token-based.
Video (per second)
Credits per second of generated output. Estimate total credits by multiplying rate × duration in seconds; some SKUs add tiers—see the footnote and your run summary when the catalog shows composite pricing.
Browse rates by modality
Switch tabs for text, image, or video. Image combines token-priced models (same per-10k columns as text) with native per-asset pricing.
Credits are the platform unit (1 credit = $1 on your balance). Numbers below are reference rates from our model catalog. Token rows use per 10,000 tokens; native image rows are per image or per MP; video is per second. Actual runs may vary slightly; your run summary shows what was metered.
Token rates are credits per 10,000 input, output, or read tokens.
| Model | Credits / 10k input | Credits / 10k output | Credits / 10k read |
|---|---|---|---|
| GPT-5 Nano openai/gpt-5-nano | 0.0015 credits | 0.012 credits | 0.0001 credits |
| GPT-5 Mini openai/gpt-5-mini | 0.0075 credits | 0.06 credits | 0.0008 credits |
| GPT-5.4 Nano openai/gpt-5.4-nano | 0.006 credits | 0.0375 credits | 0.0006 credits |
| GPT-5.4 Mini openai/gpt-5.4-mini | 0.0225 credits | 0.135 credits | 0.0022 credits |
| GPT-5.4 openai/gpt-5.4 | 0.075 credits | 0.45 credits | 0.0075 credits |
| GPT-5 openai/gpt-5 | 0.0375 credits | 0.3 credits | 0.0037 credits |
| GPT-5 Pro openai/gpt-5-pro | 0.45 credits | 3.6 credits | - |
| GPT-5.2 openai/gpt-5.2 | 0.0525 credits | 0.42 credits | 0.0052 credits |
| GPT-5.2 Chat openai/gpt-5.2-chat | 0.0525 credits | 0.42 credits | 0.0052 credits |
| GPT-5 Chat openai/gpt-5-chat | 0.0375 credits | 0.3 credits | 0.0037 credits |
| GPT-4.1 openai/gpt-4.1 | 0.06 credits | 0.24 credits | 0.015 credits |
| GPT-4.1 Mini openai/gpt-4.1-mini | 0.012 credits | 0.048 credits | 0.003 credits |
| GPT-4o Mini openai/gpt-4o-mini | 0.0045 credits | 0.018 credits | 0.0022 credits |
| o4 Mini openai/o4-mini | 0.033 credits | 0.132 credits | 0.0083 credits |
| o3 openai/o3 | 0.06 credits | 0.24 credits | 0.015 credits |
| o3 Pro openai/o3-pro | 0.6 credits | 2.4 credits | - |
| o3 Mini openai/o3-mini | 0.033 credits | 0.132 credits | 0.0165 credits |
| Claude 3.5 Haiku anthropic/claude-3.5-haiku | 0.024 credits | 0.12 credits | - |
| Claude Haiku 4.5 anthropic/claude-haiku-4.5 | 0.03 credits | 0.15 credits | 0.003 credits |
| Claude Sonnet 4.5 anthropic/claude-sonnet-4.5 | 0.09 credits | 0.45 credits | 0.009 credits |
| Claude Sonnet 4.6 anthropic/claude-sonnet-4.6 | 0.09 credits | 0.45 credits | 0.009 credits |
| Claude Opus 4.5 anthropic/claude-opus-4.5 | 0.15 credits | 0.75 credits | 0.015 credits |
| Claude Opus 4.6 anthropic/claude-opus-4.6 | 0.15 credits | 0.75 credits | 0.015 credits |
| Claude Opus 4.7 anthropic/claude-opus-4.7 | 0.15 credits | 0.75 credits | 0.015 credits |
| Claude Opus 4.8 anthropic/claude-opus-4.8 | 0.15 credits | 0.75 credits | 0.015 credits |
| Claude Opus 5 anthropic/claude-opus-5 | 0.15 credits | 0.75 credits | 0.015 credits |
| Kimi K3 moonshotai/kimi-k3 | 0.09 credits | 0.45 credits | 0.009 credits |
| Gemini 2.5 Flash google/gemini-2.5-flash | 0.009 credits | 0.075 credits | 0.0009 credits |
| Gemini 2.5 Flash Lite google/gemini-2.5-flash-lite | 0.003 credits | 0.012 credits | 0.0003 credits |
| Gemini 2.5 Pro google/gemini-2.5-pro | 0.0375 credits | 0.3 credits | 0.0037 credits |
| Gemini 3 Flash google/gemini-3-flash | 0.015 credits | 0.09 credits | 0.0015 credits |
| Gemini 3.1 Flash Lite google/gemini-3.1-flash-lite | 0.0075 credits | 0.045 credits | 0.0009 credits |
| Gemini 3.1 Flash Lite (preview) google/gemini-3.1-flash-lite-preview | 0.0075 credits | 0.045 credits | 0.0009 credits |
| Gemini 3.1 Pro Preview google/gemini-3.1-pro-preview | 0.06 credits | 0.36 credits | 0.006 credits |
| Gemini 3.5 Flash google/gemini-3.5-flash | 0.045 credits | 0.27 credits | 0.0045 credits |
| Grok 4.1 Fast Reasoning xai/grok-4.1-fast-reasoning | 0.006 credits | 0.015 credits | 0.0015 credits |
| Grok 4.20 Reasoning xai/grok-4.20-reasoning | 0.0375 credits | 0.075 credits | 0.006 credits |
| Seed 1.8 bytedance/seed-1.8 | 0.0075 credits | 0.06 credits | 0.0015 credits |
| Trinity Mini arcee-ai/trinity-mini | 0.0012 credits | 0.0045 credits | - |
| Trinity Large (preview) arcee-ai/trinity-large-preview | 0.0075 credits | 0.03 credits | - |
| GLM-4.5V zai/glm-4.5v | 0.018 credits | 0.054 credits | 0.0033 credits |
| GLM-4.5 Air zai/glm-4.5-air | 0.006 credits | 0.033 credits | 0.0009 credits |
| Qwen 3.7 Plus alibaba/qwen3.7-plus | 0.012 credits | 0.048 credits | 0.0024 credits |
| Qwen3 Next 80B Instruct alibaba/qwen3-next-80b-a3b-instruct | 0.0045 credits | 0.036 credits | - |
| Qwen3 Coder 30B alibaba/qwen3-coder-30b-a3b | 0.0045 credits | 0.018 credits | - |
| Mercury 2 inception/mercury-2 | 0.0075 credits | 0.0225 credits | 0.0008 credits |
| Mercury Coder Small inception/mercury-coder-small | 0.0075 credits | 0.03 credits | - |
| Llama 3.1 70B meta/llama-3.1-70b | 0.0216 credits | 0.0216 credits | - |
| Llama 3.2 1B meta/llama-3.2-1b | 0.003 credits | 0.003 credits | - |
| Llama 3.2 11B meta/llama-3.2-11b | 0.0048 credits | 0.0048 credits | - |
| Llama 3.2 90B meta/llama-3.2-90b | 0.0216 credits | 0.0216 credits | - |
| LongCat Flash Thinking meituan/longcat-flash-thinking-2601 | 0.015 credits | 0.06 credits | - |
| Kimi K2 Thinking Turbo moonshotai/kimi-k2-thinking-turbo | 0.0345 credits | 0.24 credits | 0.0045 credits |
| Amazon Nova Pro amazon/nova-pro | 0.024 credits | 0.096 credits | - |
| GPT-3.5 Turbo Instruct openai/gpt-3.5-turbo-instruct | 0.045 credits | 0.06 credits | - |
| GPT-5.1 Thinking openai/gpt-5.1-thinking | 0.0375 credits | 0.3 credits | 0.0037 credits |
| GPT-5.5 openai/gpt-5.5 | 0.15 credits | 0.9 credits | 0.015 credits |
| GPT-5.5 Pro openai/gpt-5.5-pro | 0.9 credits | 5.4 credits | - |
| Grok 4.3 xai/grok-4.3 | 0.0375 credits | 0.075 credits | 0.006 credits |
| Grok Build 0.1 xai/grok-build-0.1 | 0.03 credits | 0.06 credits | 0.006 credits |
| Qwen3.7 Max alibaba/qwen3.7-max | 0.075 credits | 0.225 credits | 0.015 credits |
| DeepSeek V4 Flash deepseek/deepseek-v4-flash | 0.0039 credits | 0.0078 credits | 0.0008 credits |
| Step 3.7 Flash stepfun/step-3.7-flash | 0.006 credits | 0.0345 credits | 0.0012 credits |
Provider catalogs move, so refresh this page periodically. Tool calls, web search, and long agent loops can add credit lines beyond base tokens or seconds; your completed run shows the full breakdown. Subscription grants and top-ups add whole credits to the organization balance; settled runs debit against that balance per Credits & billing.
What can add credits beyond these rows
Even with the same model, runs can cost more when any of the following are included:
- Tool or function invocations billed separately
- Web search or grounding add-ons
- Agent or deep research style jobs with extra steps
- Reasoning or batch surcharges on certain SKUs
Those lines roll into the same credit settlement as base tokens or seconds.
Overrides vs defaults
When the UI offers a model override, only approved options are selectable and validated. If you skip overrides, Pinnora chooses a default for that tool.
After your run — where totals appear
Completed runs surface usage and settlement in the workspace so owners can reconcile balances. For disputes or anomalies, capture the organization slug, project, tool ID, and timestamp before contacting support.
Freshness
Vendor catalogs change. We refresh this reference when our pricing snapshot moves; your billing and run views always reflect what actually settled for that execution.
Related articles
- Credits & billing — balance, top-ups, plans
- Runs & status — statuses and failure handling
- Tools overview — tool matrix and typical per-run credits