Vals Code Migration (Code Migration)
Can language models reimplement real-world programs in another language?
Data verifiedHow BenchLM shows Code Migration
BenchLM mirrors the public Vals AI Code Migration leaderboard captured from https://www.vals.ai/benchmarks/code-migration and updated by Vals on July 9, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Code Migration is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Code Migration score on Code Migration — July 9, 2026
BenchLM mirrors the published code migration score view for Code Migration. Claude Fable 5 leads the public snapshot at 55.06% , followed by GPT-5.6 Sol (52.92%) and Claude Opus 4.8 (47.25%). BenchLM does not use these results to rank models overall.
Claude Fable 5
Anthropic
anthropic/claude-fable-5
GPT-5.6 Sol
OpenAI
openai/gpt-5.6-sol
Claude Opus 4.8
Anthropic
anthropic/claude-opus-4-8
The published Code Migration snapshot is tightly clustered at the top: Claude Fable 5 sits at 55.06%, while the third row is only 7.81 points behind. The broader top-10 spread is 20.08 points, so the benchmark still separates strong models even when the leaders cluster.
27 models have been evaluated on Code Migration. The benchmark falls in the External benchmark mirrors category. BenchLM tracks this category separately from its weighted global scoring system, so these results are best compared on the dedicated Korean benchmark views. Code Migration is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Code Migration
Year
2026
Tasks
Real-world program reimplementation in another language
Format
Accuracy score
Difficulty
Production code migration
BenchLM mirrors the public Vals AI Code Migration leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
Code Migration 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Code Migration score table (27 models)
FAQ
What does Code Migration measure?
Can language models reimplement real-world programs in another language?
Which model leads the published Code Migration snapshot?
Claude Fable 5 currently leads the published Code Migration snapshot with 55.06% code migration score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Code Migration?
27 AI models are included in BenchLM's mirrored Code Migration snapshot, based on the public leaderboard captured on July 9, 2026.
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