An agentic coding benchmark that asks models to build a Game Boy Advance emulator from scratch and grades emulator behavior against procedural, audio, and gameplay tests.
BenchLM mirrors the official GBA-Eval leaderboard snapshot graded on May 30, 2026. The benchmark asks coding agents to build a Game Boy Advance emulator and scores the result against 27 procedural, audio, and gameplay test cases.
GBA-Eval is display only on BenchLM. The source rows are agentic software-engineering runs with large token budgets and verifier-specific emulator tests, so BenchLM does not fold them into model-only weighted rankings.
BenchLM mirrors the published overall score view for GBA-Eval. Claude Opus 4.8 leads the public snapshot at 70.9% , followed by GPT-5.5 (53.2%) and Claude Sonnet 4.6 (48.8%). BenchLM does not use these results to rank models overall.
Claude Opus 4.8
Anthropic
claude-opus-4-8
GPT-5.5
OpenAI
gpt-5.5
Claude Sonnet 4.6
Anthropic
claude-sonnet-4-6
The published GBA-Eval snapshot is tightly clustered at the top: Claude Opus 4.8 sits at 70.9%, while the third row is only 22.1 points behind. The broader top-10 spread is 70.0 points, so the benchmark still separates strong models even when the leaders cluster.
14 models have been evaluated on GBA-Eval. 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. GBA-Eval is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
27 emulator test cases
Format
Overall emulator score
Difficulty
Long-horizon systems programming
GBA-Eval evaluates long-horizon coding agents by having them implement a working GBA emulator. The public leaderboard reports overall scores across 27 test cases with token usage and checkpoints preserved in the source JSON feed.
Version
GBA-Eval 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.
An agentic coding benchmark that asks models to build a Game Boy Advance emulator from scratch and grades emulator behavior against procedural, audio, and gameplay tests.
Claude Opus 4.8 currently leads the published GBA-Eval snapshot with 70.9% overall score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
14 AI models are included in BenchLM's mirrored GBA-Eval snapshot, based on the public leaderboard captured on May 30, 2026.
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