LLM Pulse

✨ AI Search & Intelligent Model Discovery 2026

Quickly discover the right frontier AI model for your application. Filter 50+ large language models by capability, speed, pricing tiers, and benchmark thresholds.

Popular Frontier Models in Search

OpenAI: GPT-6 Astra Pro

Provider: openai | Pulse Score: 8.8/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-6 Astra

Provider: openai | Pulse Score: 8.7/10

Published Artificial Analysis leaderboard evidence....

Anthropic: Claude Opus 4.8

Provider: anthropic | Pulse Score: 8/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.5 Pro

Provider: openai | Pulse Score: 7.6/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.5

Provider: openai | Pulse Score: 7.7/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.4 Nano

Provider: openai | Pulse Score: 8.5/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.4 Mini

Provider: openai | Pulse Score: 8.4/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.4 Pro

Provider: openai | Pulse Score: 7.6/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.4

Provider: openai | Pulse Score: 7.9/10

Frontier AI model optimized for high-performance enterprise workloads.

OpenAI: GPT-5.3-Codex

Provider: openai | Pulse Score: 7.9/10

Published Artificial Analysis leaderboard evidence....

How to Filter AI Models in LLM Pulse

Use the search input and tags to filter by:

Coding & Software Engineering: Filter by HumanEval > 90% (e.g. Claude Opus 4.7, GPT-5.5 Pro).
Cost-Optimized Production APIs: Filter by input price < $0.50 per 1M tokens (e.g. DeepSeek V4 Pro, Gemini 3 Flash).
Real-Time Low Latency: Filter by time-to-first-token < 250ms for conversational voice agents.

Explore LLM Pulse Interactive Tools

Frequently Asked Questions

Which AI model ranks highest for coding in 2026?

Coding rankings use reported third-party benchmark data. HumanEval values remain unverified unless metric-specific evaluator, model version, test methodology and test date evidence is available.

How is Pulse Score different from crowd-sourced leaderboards?

Pulse Score combines reported third-party benchmark data (HumanEval, MMLU, MATH) with real-world developer constraints: token throughput speed, input pricing per million tokens, and time-to-first-token latency.