BixBench current item

bix-35-q1

Question

Calculate the evolutionary rate for the BUSCO gene 156083at2759 using PhyKIT's evoluionary_rate function. What is the gene's evolutionary rate in animals?

Accepted answer
0.0471
Domain
phylogenetics

Comparison

Pass counts and token totals across the same three replicates.

AgentGalaxy-API codeOpen-ended code
Codex GPT-5.53/3
replicate 1 replicate 2 replicate 3
3.93M total
3/3
replicate 1 replicate 2 replicate 3
1.46M total
Codex GPT-5.6 Sol3/3
replicate 1 replicate 2 replicate 3
5.56M total
3/3
replicate 1 replicate 2 replicate 3
960.3K total
Codex GPT-5.6 Luna3/3
replicate 1 replicate 2 replicate 3
6.79M total
3/3
replicate 1 replicate 2 replicate 3
3.16M total
DeepSeek V4 Pro via Codex3/3
replicate 1 replicate 2 replicate 3
5.20M total
3/3
replicate 1 replicate 2 replicate 3
1.38M total
DeepSeek V4 Pro via Claude Codesuperseded2/3
replicate 1 replicate 2 replicate 3
3.89M total
3/3
replicate 1 replicate 2 replicate 3
1.64M total

Execution condition

Galaxy-API code with skills

Codex GPT-5.5

3 primary replicates
Codex GPT-5.5

replicate 1

pass
Answer0.0471
Workflow
Phykit MetricsMAFFT
Total tokens
1.73M
Output
6.8K
Codex GPT-5.5

replicate 2

pass
Answer0.0471
Workflow
Phykit MetricsMAFFTBUSCONewick analysis
Total tokens
929.1K
Output
8.3K
Codex GPT-5.5

replicate 3

pass
Answer0.0471
Workflow
Phykit Tree BasedBUSCOMAFFTNewick analysis
Total tokens
1.27M
Output
5.3K

Codex GPT-5.6 Sol

3 primary replicates
Codex GPT-5.6 Sol

replicate 1

pass
Answer0.0471
Workflow
Phykit Metrics
Total tokens
1.49M
Output
6.7K
Codex GPT-5.6 Sol

replicate 2

pass
Answer0.0471
Workflow
Phykit Metrics
Total tokens
1.03M
Output
6.1K
Codex GPT-5.6 Sol

replicate 3

pass
Answer0.0471
Workflow
Phykit Metrics
Total tokens
3.04M
Output
8.3K

Codex GPT-5.6 Luna

3 primary replicates
Codex GPT-5.6 Luna

replicate 1

pass
Answer0.0471
Workflow
Phykit MetricsBUSCOMAFFT
Total tokens
2.64M
Output
15.3K
Codex GPT-5.6 Luna

replicate 2

pass
Answer0.0471
Workflow
Phykit MetricsBUSCOMAFFT
Total tokens
1.91M
Output
12.1K
Codex GPT-5.6 Luna

replicate 3

pass
Answer0.0471
Workflow
Phykit MetricsBUSCO
Total tokens
2.25M
Output
14.4K

DeepSeek V4 Pro via Codex

3 primary replicates
DeepSeek V4 Pro via Codex

replicate 1

pass
Answer0.0471
Workflow
Phykit MetricsMAFFTIQ-TREE
Total tokens
3.51M
Output
16.5K
DeepSeek V4 Pro via Codex

replicate 2

pass
Answer0.0471
Workflow
Phykit MetricsMAFFT
Total tokens
1.11M
Output
13.5K
DeepSeek V4 Pro via Codex

replicate 3

pass
Answer0.0471
Workflow
Phykit MetricsBUSCOMAFFT
Total tokens
592.2K
Output
9.8K

DeepSeek V4 Pro via Claude CodeSuperseded

3 primary replicates
DeepSeek V4 Pro via Claude Code

replicate 1

fail

Why it missed

Wrong scientific quantityThis run returned total tree length, 0.1884. PhyKIT evolutionary_rate normalizes tree length by the number of terminals, giving the requested 0.0471.
Answer0.1884
Workflow
Phykit MetricsBUSCOMAFFTNewick analysis
Total tokens
1.03M
Output
11.8K
DeepSeek V4 Pro via Claude Code

replicate 2

pass
Answer0.0471
Workflow
Phykit MetricsUnzipMAFFTNewick analysis
Total tokens
1.76M
Output
18.3K
DeepSeek V4 Pro via Claude Code

replicate 3

pass
Answer0.0471
Workflow
Phykit MetricsBUSCOMAFFTNewick analysis
Total tokens
1.11M
Output
9.0K

Execution condition

Open-ended code with skills

Codex GPT-5.5

3 primary replicates
Codex GPT-5.5

replicate 1

pass
Answer0.0471
Workflow
Local analysisPhyKITMAFFTIQ-TREE
Total tokens
627.5K
Output
3.2K
Codex GPT-5.5

replicate 2

pass
Answer0.0471
Workflow
Local analysisPhyKITMAFFTIQ-TREEBUSCO
Total tokens
320.1K
Output
2.8K
Codex GPT-5.5

replicate 3

pass
Answer0.0471
Workflow
Local analysisBUSCOPhyKITMAFFTIQ-TREE
Total tokens
508.0K
Output
4.4K

Codex GPT-5.6 Sol

3 primary replicates
Codex GPT-5.6 Sol

replicate 1

pass
Answer0.0471
Workflow
Local analysis
Total tokens
299.0K
Output
2.4K
Codex GPT-5.6 Sol

replicate 2

pass
Answer0.0471
Workflow
Local analysis
Total tokens
299.4K
Output
2.4K
Codex GPT-5.6 Sol

replicate 3

pass
Answer0.0471
Workflow
Local analysis
Total tokens
362.0K
Output
2.4K

Codex GPT-5.6 Luna

3 primary replicates
Codex GPT-5.6 Luna

replicate 1

pass
Answer0.0471
Workflow
Local analysis
Total tokens
1.26M
Output
9.1K
Codex GPT-5.6 Luna

replicate 2

pass
Answer0.0471
Workflow
Local analysis
Total tokens
1.12M
Output
7.2K
Codex GPT-5.6 Luna

replicate 3

pass
Answer0.0471
Workflow
Local analysis
Total tokens
772.9K
Output
8.3K

DeepSeek V4 Pro via Codex

3 primary replicates
DeepSeek V4 Pro via Codex

replicate 1

pass
Answer0.0471
Workflow
Local analysisBUSCOPhyKITMAFFT
Total tokens
359.2K
Output
4.8K
DeepSeek V4 Pro via Codex

replicate 2

pass
Answer0.0471
Workflow
Local analysisPhyKITBUSCOMAFFTIQ-TREE
Total tokens
570.6K
Output
6.3K
DeepSeek V4 Pro via Codex

replicate 3

pass
Answer0.0471
Workflow
Local analysisBUSCOPhyKITMAFFT
Total tokens
445.3K
Output
5.7K

DeepSeek V4 Pro via Claude CodeSuperseded

3 primary replicates
DeepSeek V4 Pro via Claude Code

replicate 1

pass
Answer0.0471
Workflow
Local analysisPhyKITBUSCOMAFFT
Total tokens
371.9K
Output
3.1K
DeepSeek V4 Pro via Claude Code

replicate 2

pass
Answer0.0471
Workflow
Local analysisPhyKITBUSCOMAFFT
Total tokens
582.7K
Output
4.2K
DeepSeek V4 Pro via Claude Code

replicate 3

pass
Answer0.0471
Workflow
Local analysisBUSCOPhyKITMAFFT
Total tokens
686.1K
Output
4.6K

bix-35-q1 · October 2026 · three additional replicates

GPT-5.6 Sol · token optimization

Galaxy-API code, high reasoning, Fast service. Previous runs are retained above.

Open-ended code averaged 0.32M tokens; previous website Galaxy averaged 1.85M; the new Galaxy runs averaged 0.70M, or 2.19× Open-ended code. Each mean covers three replicates of this same task with GPT-5.6 Sol.

Cached input is already included in input tokens. Full nested tool/job evidence is in each HF run's galaxy_execution_records.tar.gz, with an accompanying member index.

Optimization overview and all 150 runs