reasoning benchmark
Graphwalks BFS <128k Leaderboard
A graph reasoning benchmark that evaluates language models' ability to perform breadth-first search (BFS) operations on graphs with context length under 128k tokens, returning nodes reachable at specified depths.
Updated Aug 17, 2026
Models11
Model coverage11
MetricScore
EvidenceB
Graphwalks BFS <128k Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score94.0% | Percentile100.0% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score93.0% | Percentile90.0% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score78.3% | Percentile80.0% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score76.3% | Percentile70.0% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score73.4% | Percentile60.0% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score72.3% | Percentile50.0% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score61.7% | Percentile40.0% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score61.7% | Percentile30.0% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score51.0% | Percentile20.0% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelOP | Score41.7% | Percentile10.0% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelOP | Score25.0% | Percentile0.0% | Participants11 | EvidenceC | Evaluated |
Graphwalks BFS <128k Highlights
The leading models and scores on this benchmark.
Graphwalks BFS <128k Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Graphwalks BFS <128k
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis graphwalks bfs <128k AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPGPT-5.2OpenAI
- Score
- 94.0%
- Price
- $1.8 input / $14 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #1 of 11 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Graphwalks BFS <128k, not total model capability
- 02OPGPT-5.4OpenAI
- Score
- 93.0%
- Price
- $2.5 input / $15 output per 1M tokens
- Speed
- Up to 9.1 tok/s via OpenAI
Strengths
- Ranks #2 of 11 compared models
- 90th percentile on this benchmark
- C evidence result
Considerations
- This result measures Graphwalks BFS <128k, not total model capability
- 03OPGPT-5OpenAI
- Score
- 78.3%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #3 of 11 compared models
- 80th percentile on this benchmark
- C evidence result
Considerations
- This result measures Graphwalks BFS <128k, not total model capability
- 04OPGPT-5.4 miniOpenAI
- Score
- 76.3%
- Price
- $0.75 input / $4.5 output per 1M tokens
Strengths
- Ranks #4 of 11 compared models
- 70th percentile on this benchmark
- C evidence result
Considerations
- This result measures Graphwalks BFS <128k, not total model capability
- 05OPGPT-5.4 nanoOpenAI
- Score
- 73.4%
- Price
- $0.20 input / $1.3 output per 1M tokens
Strengths
- Ranks #5 of 11 compared models
- 60th percentile on this benchmark
- C evidence result
Considerations
- This result measures Graphwalks BFS <128k, not total model capability
Selection summary
Best AI Models for Graphwalks BFS <128k
GPT-5.2 currently leads Graphwalks BFS <128k with 94.0%. 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 Graphwalks BFS <128k?
What Graphwalks BFS <128k measures and how its scores work.
A graph reasoning benchmark that evaluates language models' ability to perform breadth-first search (BFS) operations on graphs with context length under 128k tokens, returning nodes reachable at specified depths.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Graphwalks BFS <128k
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- graphwalks-bfs-<128k|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Graphwalks BFS <128k.
Which model scores highest on Graphwalks BFS <128k?
GPT-5.2 is currently ranked first with 94.0%.
What does Graphwalks BFS <128k measure?
A graph reasoning benchmark that evaluates language models' ability to perform breadth-first search (BFS) operations on graphs with context length under 128k tokens, returning nodes reachable at specified depths.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
11 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.