Trinity Large Thinking
by Arcee AIarcee-ai/trinity-large-thinking
LLMCompare cannot run Trinity Large Thinking 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 nowTrinity Large Thinking at a glance
- Context length
- 262,144 tokens
- Maximum output
- 80,000 tokens
- Accepts
- Text
- Returns
- Text
- Features
- Tool callingPrompt caching
- Reasoning effort levels
- Not supported
- Released
- 1 Apr 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Trinity Large Thinking pricing by route
A route is the service LLMCompare calls to reach the model. Trinity Large Thinking 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 | $0.25 | $0.80 | $0.06 | openrouter.ai/arcee-ai/trinity-large-thinking |
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 Trinity Large Thinking 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
- $0.00065
- 1 credits
- Cost of 100 calls
- $0.065
- 100 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 80,000 | Provider default |
About Trinity Large Thinking
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Trinity Large Thinking
Text models from the same provider and models at the nearest price. The order is not a ranking.
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Mercury 2Inceptioninception/mercury-2 | 128k | 50k | $0.25 | $0.75 | ReasoningJSONToolsCache | No route yet | ||
Qwen3 VL 8B InstructQwenqwen/qwen3-vl-8b-instruct | 262k | 236k | $0.25 | $0.75 | JSONToolsCacheVision | No route yet | ||
ReMM SLERP 13Bundi95undi95/remm-slerp-l2-13b | 6.1k | 5.5k | $0.35 | $0.65 | JSON | No route yet |
Questions about Trinity Large Thinking
- How much does Trinity Large Thinking cost?
- On the OpenRouter route, Trinity Large Thinking costs $0.25 per 1 million input tokens and $0.80 per 1 million output tokens, in US dollars. Input tokens that Trinity Large Thinking reads from the prompt cache cost $0.06 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Trinity Large Thinking?
- Trinity Large Thinking has a context length of 262,144 tokens and returns up to 80,000 output tokens in one call.
- What inputs does Trinity Large Thinking accept?
- Trinity Large Thinking accepts these inputs: Text. Trinity Large Thinking returns: Text.
- Can I test Trinity Large Thinking on my own data?
- Not yet. LLMCompare lists the prices and parameters of Trinity Large Thinking, but no route to Trinity Large Thinking is configured on LLMCompare, so it cannot be selected for an evaluation.