reasoning benchmark
BixBench MCQ Leaderboard
BixBench MCQ evaluates zero-shot multiple-choice accuracy on bioinformatics questions.
Updated Sep 24, 2026
Models1
Model coverage1
MetricScore
EvidenceB
BixBench MCQ Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score88.40% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
BixBench MCQ Highlights
The leading models and scores on this benchmark.
The Top AI Models for BixBench MCQ
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis bixbench mcq AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XAxAI
- Score
- 88.40%
- Price
- $2.0 input / $6.0 output per 1M tokens
- Speed
- Up to 5.32 tok/s via xAI
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BixBench MCQ, not total model capability
Selection summary
Best AI Models for BixBench MCQ
Grok 4.7 currently leads BixBench MCQ with 88.40%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is BixBench MCQ?
What BixBench MCQ measures and how its scores work.
BixBench MCQ is a benchmark for zero-shot multiple-choice answering on bioinformatics questions, separate from the agentic BixBench workflow evaluation that requires code execution.
It measures accuracy, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BixBench MCQ
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BixBench MCQ.
Which model scores highest on BixBench MCQ?
Grok 4.7 is currently ranked first with 88.40%.
What are the top three models on BixBench MCQ?
The current leaders are Grok 4.7 (88.40%).
Which BixBench MCQ model has the lowest official input price?
Grok 4.7 has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.
Which models are fastest among BixBench MCQ results?
The fastest matched records are Grok 4.7 (5.32 tok/s via xAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.