JT-MINI

JT-MINI

China Mobilellm

Grande modelo de linguagem (llm) desenvolvido pela China Mobile — Intelligence Index 25/100 no Artificial Analysis; acesso gratuito.

API Available

Specifications

Context Window

Input Price/1M

Output Price/1M

Parameters

00

Benchmarks

JT-MINI results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard18.0100.0

Coding

BenchmarkScoreMaximumMethodology
SciCode27.0100.0
AA Coding Index21.2100.0Artificial Analysis official API

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR12.0100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index25.4100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
GPQA Diamond67.6100.0Artificial Analysis official API
IFBench37.0100.0
HLE7.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench93.0100.0

Information

Release date
April 15, 2026
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: JT-MINI

What is JT-MINI?

JT-MINI is an AI model developed by China Mobile, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via China Mobile's cloud API.

Pricing & Costs in 2026

JT-MINI does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check China Mobile's official website for up-to-date availability and pricing.

Benchmarks & Performance

JT-MINI was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional 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

JT-MINI is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, JT-MINI competes directly with similarly capable models. China Mobile 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 JT-MINI?

JT-MINI is an AI model developed by China Mobile. It is a llm model.

How much does JT-MINI cost?

JT-MINI does not have public per-token pricing available at this time. Check China Mobile's official website for up-to-date information.

How does JT-MINI compare with other models?

In available benchmarks, JT-MINI scored: Terminal-Bench Hard: 18/100, SciCode: 27/100, AA Coding Index: 21.2/100. See the full table above for a detailed comparison.

Is JT-MINI open source?

No, JT-MINI is a proprietary model from China Mobile. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is JT-MINI best for?

JT-MINI excels at general-purpose language tasks.

Last updated: May 24, 2026 View methodology →