OpenAI•Rank #8NEW

GPT-Rosalind-6

Proprietaryreasoningscientific

Leaderboard Score

63.5

Scale: 0 - 100

Throughput Speed

72 tps

Context Window

API Pricing / 1M

.00

Parameter Scale

Proprietary

Monthly API Cost Calculator

GPT-Rosalind-6 rates: $15/1M input • $75/1M output. Pick a workload preset or enter your own token volumes.

Monthly input (M tokens)Monthly output (M tokens)

Same workload on published-rate alternatives

GPT-5.5 Pro (OpenAI)

Claude Mythos 5.2 (Anthropic)

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Estimates use listed API rates at time of writing; providers may differ in caching discounts, rate limits, and batching pricing.

Sourced AI Radar & Benchmarks•8 Evaluated Metrics

Capability Radar & Benchmark Scores

Multi-Axis Capability Radar

Comparing GPT-Rosalind-6 against Frontier Top 10 & Open-Source average

0 - 100 Scale

GPT-Rosalind-6

Frontier Top 10 Avg

Open-Source Avg

Performance Vectors

Where GPT-Rosalind-6 Leads

Coding & SWETop 10: 79.2% • OS: 51.6%

74.0%-5.2% vs Top 10

Reasoning & MathTop 10: 94.6% • OS: 54.3%

95.8%+1.2% vs Top 10

Agent & Tool AutomationTop 10: 80.3% • OS: 37.4%

68.0%-12.3% vs Top 10

Terminal & CLI ExecutionTop 10: 63.5% • OS: 45.8%

54.0%-9.5% vs Top 10

MMLU & Knowledge QATop 10: 50% • OS: 86.7%

79.4%+29.4% vs Top 10

Cyber & Security ExploitsTop 10: 87.3% • OS: 81.2%

60.3%-27.0% vs Top 10

All Verified Benchmark Evaluations

Direct Pass@1 and resolution rates across standardized evaluations.

OverallCodingReasoningAgenticTerminal

Featured Compute Platform

Run Benchmarks on Dedicated AI Clusters

Zero-cold-start inference endpoints with dedicated GPU instances.

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Executive Analysis & Verdict

GPT-Rosalind-6 by OpenAI is a trusted-access life sciences foundation model scoring 63.5 overall, delivering an 85.0% refusal-adjusted biological benchmark score for drug discovery and molecular research.

Key Strengths & Highlights

•Specialized life sciences reasoning utilizing GPT-6 Astra base weights with calibrated biological safeguards
•Achieves an 85.0% refusal-adjusted score across ProtocolQA and translational medicine benchmarks
•68.1% on Terminal-Bench-Science 0.1 for autonomous laboratory protocol execution

Limitations & Considerations

•Restricted to certified academic, biopharma, and government research partners

Recommended Workflows

Drug discovery pipelines, genomic protocol troubleshooting, macromolecular analysis, and computational chemistry

Architectural Overview & Capability Profile

GPT-Rosalind-6 (officially gpt-6-rosalind) is OpenAI’s specialized foundation model designed specifically for computational biology, translational medicine, and pharmaceutical research. Named in honor of biophysicist Rosalind Franklin, the model utilizes the underlying weights of OpenAI’s flagship GPT-6 Astra, but incorporates modified safety boundaries and trusted-access filtering that enable qualified researchers to explore dual-use biological mechanisms without conversational refusals. On RankLLMs’s calibrated benchmark suite, GPT-Rosalind-6 achieves an overall score of 63.5 / 100.

With support for a 1,000,000-token context window, GPT-Rosalind-6 can process entire genomic sequences, extensive biochemical literature corpora, and complex clinical trial protocols in a single reasoning pass.

Life Sciences & Scientific Reasoning Benchmarks

OpenAI’s deployment safety evaluations and scientific validation benchmarks show the model clearing high-capability thresholds across biological domains:

Computational Biology & Laboratory Protocol Troubleshooting:
- Biological Capability Score: Achieves an 85.0% refusal-adjusted score (with a cons@32 score of 78.3%), clearing OpenAI’s internal High-capability threshold for biological problem solving.
- ProtocolQA: Reaches 87.4%, diagnosing ambiguities and procedural failure modes in wet-lab protocols.
Scientific Tool Use & Agent Execution:
- Terminal-Bench-Science 0.1: Matches GPT-6 Astra at 68.1%, executing complex computational chemistry scripts, BLAST alignments, and molecular docking simulations.
- GPQA Diamond: Scores 95.8%, showcasing postgraduate molecular genetics and chemical physics understanding.

Research Access & API Governance

GPT-Rosalind-6 is released under OpenAI’s Trusted Access research governance framework:

Eligibility: Open to verified pharmaceutical companies, academic research laboratories, and public health institutions.
API Pricing: $15.00 per 1M input tokens and $75.00 per 1M output tokens (with $1.50 / 1M prompt caching read).

Frequently Asked Questions About GPT-Rosalind-6

What is GPT-Rosalind-6 and who developed it?↓

GPT-Rosalind-6 is a proprietary large language model developed by OpenAI. It ranks #8 on the RankLLMs composite leaderboard, ahead of 93% of the 104 models we track, with an overall score of 63.5 / 100.

Can GPT-Rosalind-6 handle very long documents and codebases?↓

GPT-Rosalind-6 supports a 1.0M-token input context window and generates about 72 tps tokens per second in our reference measurements and which is enough to hold entire repositories, long transcripts, or multi-document research sets in a single session..

Why does GPT-Rosalind-6 cost more than most alternatives?↓

GPT-Rosalind-6 sits in the premium tier at .00 per 1M tokens - cheaper than only 99% of priced models we track. That pricing buys frontier-tier benchmark results; the cost-per-solved-task math in our best-coding-LLM guide shows when it pays off.

What is GPT-Rosalind-6 best at?↓

GPT-Rosalind-6 is strongest in Specialized life sciences reasoning utilizing GPT-6 Astra base weights with calibrated biological safeguards; Achieves an 85.0% refusal-adjusted score across ProtocolQA and translational medicine benchmarks; 68.1% on Terminal-Bench-Science 0.1 for autonomous laboratory protocol execution. Full pillar-by-pillar numbers are in the benchmark tables above.

What should you watch out for with GPT-Rosalind-6?↓

Known trade-offs include: Restricted to certified academic, biopharma, and government research partners. Weigh these against the strengths above for your specific workload.