LLM for Research
104 models · reproducible · grant-budget-friendly

Comparative benchmarks in 1 notebook

# research_benchmark.py — same task across 5 frontier LLMs
from openai import OpenAI

client = OpenAI(
    base_url="https://api.brainiall.com/v1",
    api_key="brnl-..."
)

MODELS = [
    "claude-opus-4-7", "claude-sonnet-4-6",
    "gpt-5", "gemini-3-pro",
    "deepseek-r1", "qwen-qwq-32b"
]

PROMPT = "Solve: integral of x^2 * sin(x) dx from 0 to pi."

results = {}
for model in MODELS:
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": PROMPT}],
        temperature=0,  # deterministic for reproducibility
        seed=42,         # reproducible seed
    )
    results[model] = response.choices[0].message.content

# Save for paper appendix:
import json, datetime
with open(f"benchmark_{datetime.date.today()}.json", "w") as f:
    json.dump(results, f, indent=2)

📚 Why researchers prefer Brainiall

• Reproducibility: Pin exact model versions (claude-sonnet-4-6, gpt-5, gemini-3-pro). Brainiall publishes deprecation calendars 90+ days in advance.
• Cross-comparison: Same prompt, same notebook, 6 frontier LLMs. No 6 SDKs to learn.
• Grant-budget friendly: $5.99/mo flat replaces 5+ subscriptions. Pro Team $99/mo covers entire research group (5 students).
• Reasoning models: DeepSeek-R1, o3-mini, Qwen-QwQ-32B with chain-of-thought — for math/science evaluation.
• EU-hosted: GDPR-friendly for sensitive research data (medical, behavioral, regulated).
• Citation-friendly: Brainiall API stable since 2025. Cite as "queried via Brainiall ($5.99/mo gateway, EU-hosted, OpenAI-compatible API)" + model version pin.
• No data training: Stateless inference. Your research data never trains models. ZDR mode available on Business plan.

Use-cases for academic research

Citation suggestion for papers

Models accessed via Brainiall API gateway (https://api.brainiall.com/v1,
OpenAI-compatible, EU-hosted) on May 2, 2026. Specific versions:
claude-sonnet-4-6 (Anthropic), gpt-5 (OpenAI), gemini-3-pro (Google),
deepseek-r1 (DeepSeek), llama-4-maverick (Meta). Reproducibility:
temperature=0, seed=42 (where supported by provider).

Get research-friendly API access

7-day free trial. $5.99/mo flat. Pro Team $99/mo for research groups (5 students).

Best LLM 2026 · Pricing · Brainiall Academy · Pricing comparison

Comparações para devs/equipes técnicas