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TapTap Maker Benchmark

TapTap Maker / Coding · Builds working features in Lua inside a real game engine. Scores come from engine execution, rather than another model’s judgment.
Across e/accCounts toward ranking
Evidence budget2.4%
Upstream data time10/09 08:00
Last successful sync10/17 08:05

What it measures and how

Use only the official main_board L2 pass rate. Cost, speed, Held-out and category scores add no votes. Select one representative row per base model using fixed reasoning-tier priority, without considering scores.

How this evidence is used

Receives 2.4% from the coding and design budget, using a fixed engine and L2 metric.

Benchmark results

Fixed rules select one representative configuration per public model. Anonymous test models are omitted. Original source ranks are retained, with up to 30 models per benchmark.

Source rankSource model nameRaw resultRepresentative configuration
1gpt-6-astraOpenAI85.8%xHigh reasoning
2claude-fable-5-1Anthropic85.5%High reasoning
3claude-opus-5-5Anthropic85.5%xHigh reasoning
4gpt-6.1-solOpenAI85.3%xHigh reasoning
5claude-sonnet-5-5Anthropic83.6%xHigh reasoning
7gemini-3.8-flashGoogle79.8%High reasoning
8gpt-5.6-solOpenAI79.8%xHigh reasoning
9grok-4.7-xhighxai77.8%xHigh reasoning
10gpt-6-solOpenAI76.8%xHigh reasoning
11gpt-6-lunaOpenAI76.6%xHigh reasoning
12qwen3.8-max-0902Alibaba76.2%xHigh reasoning
13glm-5.3Z.ai76.2%Max reasoning
14deepseek-v4.1-flashDeepSeek76.1%Max reasoning
15qwen3.8-flashAlibaba76.0%xHigh reasoning
16claude-haiku-5-5Anthropic75.8%xHigh reasoning
17glm-5.3-flashZ.ai75.0%Max reasoning
18gpt-5.6-terraOpenAI74.2%xHigh reasoning
19hy4-previewTencent72.5%High reasoning
20kimi-k3Moonshot AI72.3%Source default configuration
21gpt-5.6-lunaOpenAI72.2%xHigh reasoning
22doubao-seed-evolvingByteDance71.6%High reasoning
23deepseek-v4-proDeepSeek70.5%Max reasoning
25deepseek-v4-flashDeepSeek69.1%Max reasoning
26gemini-3.1-pro-previewGoogle59.5%Source default configuration
27MiniMax-M3MiniMax54.1%Source default configuration
28claude-haiku-4-5Anthropic38.5%High reasoning
Limitations and attribution

One engine and one language do not generalize to other stacks. Models may use different agent drivers. The closed-source harness prevents task-by-task replication.

Data license: Official public results; public display retains official attribution. Full redistribution authorization remains subject to Yiwan / TapTap terms.

Results are published by TapTap Maker. Raw scores and the e/acc consensus index use different scales and cannot be added directly.