Pareto 26.9
by unbiasedunbiased/pareto-26.9
LLMCompare cannot run Pareto 26.9 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowPareto 26.9 at a glance
- Context length
- 262,144 tokens
- Maximum output
- 131,072 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- JSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
- Not supported
- Released
- 13 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Pareto 26.9 pricing by route
A route is the service LLMCompare calls to reach the model. Pareto 26.9 has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $2.50 | $7.50 | $0.25 | openrouter.ai/unbiased/pareto-26.9 |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Pareto 26.9 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.0063
- 8 credits
- Cost of 100 calls
- $0.625
- 800 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 131,072 | Provider default |
response_format | One of | textjson_object | Provider default |
About Pareto 26.9
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
Description as published for this model. LLMCompare has not edited it.
Models to compare with Pareto 26.9
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Pareto 26.10unbiasedunbiased/pareto-26.10 | 1.05M | 131k | $0.80 | $3.20 | ToolsCacheVision | No route yet | ||
o3OpenAIopenai/o3 | 200k | 100k | $2.00 | $8.00 | JSONToolsCacheVision | No route yet | ||
GPT-4.1OpenAIopenai/gpt-4.1 | 1.05M | 32.8k | $2.00 | $8.00 | JSONToolsCacheVision | No route yet | ||
Sonar Reasoning ProPerplexityperplexity/sonar-reasoning-pro | 128k | 115k | $2.00 | $8.00 | Vision | No route yet | ||
Sonar Deep ResearchPerplexityperplexity/sonar-deep-research | 128k | 115k | $2.00 | $8.00 | — | No route yet | ||
Gemini 3.5 FlashGooglegoogle/gemini-3.5-flash | 1.05M | 65.5k | $1.50 | $9.00 | ReasoningJSONToolsCacheVision | No route yet |
Questions about Pareto 26.9
- How much does Pareto 26.9 cost?
- On the OpenRouter route, Pareto 26.9 costs $2.50 per 1 million input tokens and $7.50 per 1 million output tokens, in US dollars. Input tokens that Pareto 26.9 reads from the prompt cache cost $0.25 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Pareto 26.9?
- Pareto 26.9 has a context length of 262,144 tokens and returns up to 131,072 output tokens in one call.
- What inputs does Pareto 26.9 accept?
- Pareto 26.9 accepts these inputs: Text, Image. Pareto 26.9 returns: Text.
- Can I test Pareto 26.9 on my own data?
- Not yet. LLMCompare lists the prices and parameters of Pareto 26.9, but no route to Pareto 26.9 is configured on LLMCompare, so it cannot be selected for an evaluation.