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February 1, 2026 · 3 min read

State-of-the-Art Performance: January 2026 Evaluation Report

Today we are releasing our latest internal evaluation results. TaskForceAI achieved competitive scores across reasoning and mathematical benchmarks using our multi-agent orchestration approach.

Benchmark
Sentinel(TaskForceAI)
Gemini 3.1 ProGPT-5.2Claude Opus 4.6
GPQA DiamondGraduate-level scientific reasoning88%91%90%90%
SciCodeScientific programming & simulation49%56%52%52%
Tau-Bench TelecomAgentic tool use (Telecom)96%85.4%87%92%
Terminal-Bench HardLinux command line mastery35%42%47%46%
HLEHumanity's Last Exam (Multimodal)29.4%37.5%35.4%36.7%
AA-LCRLong Context Reasoning66%71%73%71%
CritPtPhysics research capabilities3%9%12%13%
AA-OmniscienceFactuality & Hallucination resistance34.5%33%31.5%42%
GDPval-AAEconomic/Professional Writing40%35%48%55%
IFBenchInstruction Following70%70%75%53%
Artificial Analysis Index v4.0Aggregate cross-domain capability score47485153

* Sentinel results are for the base model as reported and do not represent end-to-end system performance. Multi-agent orchestration scores for Sentinel are coming soon. Source: artificialanalysis.ai

88% on GPQA Diamond: Strong performance on graduate-level scientific reasoning.

Multi-agent orchestration architecture for distributed reasoning.

Methodology

Our evaluations were conducted using the TaskForceAI Evaluation Service, which employs a unified platform for both static and agentic benchmarks. We compared TaskForceAI against the current frontier models including Gemini 3.1 Pro, GPT-5.2, and Claude Opus 4.6.

TaskForceAI utilizes a unique four-agent orchestration layer that coordinates specialized agents for Research, Analysis, Alternatives, and Verification. This distributed reasoning model allows us to catch errors and synthesize higher-quality answers than single-model passes.

Detailed Results

Scientific Reasoning (GPQA Diamond)

TaskForceAI scored 88% on GPQA Diamond, which tests graduate-level scientific knowledge and reasoning, demonstrating our platform's capability in high-complexity scientific domains.

What's Next?

We are continuing to evaluate TaskForceAI across agentic benchmarks like SciCode, Tau-Bench Telecom, and Terminal-Bench Hard. Multi-agent orchestration scores for Sentinel are coming soon. Early indicators suggest our orchestration layer provides significant advantages in tool-use and long-context reasoning.

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