Community: Pareto 26.10
pareto-26.10
Pareto 26.10 costs $1.04 per million input tokens and $4.16 per million output tokens, supports 1.05M context, and is available through the OpenAI-compatible API.
Pareto 26.10 is AI's multimodal composite model for research, coding, and agentic workflows. It accepts text and images, supports tool calling, and provides a 1M-token context window with up to 131K output tokens. This is the stable release of Pareto 26.10. Tool selection is automatic; forced tool selection, structured output, and adjustable reasoning controls are not supported.
Modalities
Text + Image → Text
Input / output price
$1.04 / $4.16 per 1M
Context
1.05M · max output 131K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $1.04 |
| Output | $4.16 |
| Cached input | $0.039 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00645
- Per day
- $3.22
- Per month (30 days)
- $96.72
Pareto 26.10: input $1.04/M · output $4.16/M · cached input $0.039/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "pareto-26.10", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to pareto-26.10.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "pareto-26.10",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Pareto 26.10 billed?
- Input is $1.04 and output is $4.16 per million tokens; cached input is $0.039. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.