INTELLECT-3
Prime Intellect • LLM
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,...
Specifications
Context Window
131K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
131K tokens
Benchmarks
INTELLECT-3 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 9.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 78.0 | 100.0 | Artificial Analysis official API |
| SciCode | 39.0 | 100.0 | — |
| AA Coding Index | 19.1 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 82.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 32.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 88.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 88.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 15.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 82.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 76.0 | 100.0 | Artificial Analysis official API |
| IFBench | 34.0 | 100.0 | — |
| HLE | 12.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 27.0 | 100.0 | — |
Information
- Release date
- November 27, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: INTELLECT-3
What is INTELLECT-3?
INTELLECT-3 is an AI model developed by Prime Intellect, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
INTELLECT-3 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Prime Intellect's official website for up-to-date availability and pricing.
Benchmarks & Performance
INTELLECT-3 was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
INTELLECT-3 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, INTELLECT-3 competes directly with similarly capable models. Prime Intellect competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is 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,...
How much does INTELLECT-3 cost?
INTELLECT-3 does not have public per-token pricing available at this time. Check Prime Intellect's official website for up-to-date information.
How does INTELLECT-3 compare with other models?
In available benchmarks, INTELLECT-3 scored: Terminal-Bench Hard: 9/100, LiveCodeBench: 78/100, SciCode: 39/100. See the full table above for a detailed comparison.
Is INTELLECT-3 open source?
Yes, INTELLECT-3 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is INTELLECT-3 best for?
INTELLECT-3 excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 22, 2026 • View methodology →