Analysis Summary
Prime Intellect's INTELLECT-3 is a text model with tool use, function calling, and a 131,072-token context window. The supplied intelligence result is limited, and no detailed coding, instruction-following, or long-context measurements are available to establish broader reliability.
Those integration features make it a candidate for constrained extraction, routing, and workflow actions with clearly bounded outputs. It is not a preferred choice for complex reasoning, autonomous agents, or polished client-facing content without extensive task-level testing. Input pricing is moderate, while output pricing is comparatively expensive for a model with limited measured capability. Consider it only where its tool interface fits an existing workflow and the task can be tightly supervised.
Assessed August 9, 2026
Editorial notes
INTELLECT-3 includes tool use and function calling with a 131K context window, but its measured reasoning capability is limited and output pricing is relatively high. It is better suited to narrow integrations than demanding client workflows.
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DFO Verdict
INTELLECT-3 includes tool use and function calling with a 131K context window, but its measured reasoning capability is limited and output pricing is relatively high. It is better suited to narrow integrations than demanding client workflows.
How Prime Intellect: INTELLECT-3 compares
Prime Intellect: INTELLECT-3 ranks #207 of 428 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.20 per million input tokens it is cheaper than 57% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $1.10 | $0.001100 |
What would Prime Intellect: INTELLECT-3 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 715 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Prime Intellect: INTELLECT-3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Prime Intellect: INTELLECT-3
INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL). It offers state-of-the-art performance for its size across math,..
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Frequently asked questions about Prime Intellect: INTELLECT-3
How much does Prime Intellect: INTELLECT-3 cost?
Prime Intellect: INTELLECT-3 costs $0.20 per million input tokens and $1.10 per million output tokens.
What is the context window of Prime Intellect: INTELLECT-3?
Prime Intellect: INTELLECT-3 has a context window of 131,072 tokens (131K).
What can Prime Intellect: INTELLECT-3 do?
Prime Intellect: INTELLECT-3 supports tool use and function calling.
Who created Prime Intellect: INTELLECT-3?
Prime Intellect: INTELLECT-3 is developed by Prime Intellect and was released on November 27, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 24, 2026 8:38 pm