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AI BENCHY Category Failures

Data parsing and extraction: API error

Data parsing and extraction
API error

See which AI models are most likely to hit API error on Data parsing and extraction, so you can spot weak points faster. Sort by: Response Time (avg) ↑.

Models Shown

15

Total Failures

16

Most Affected Model

MiMo-V2-Flash 1
Rank Model Company API error Count Category Score Tests Correct Response Time (avg)
#64 MiMo-V2-Flash medium Xiaomi 1 6.5 1/2 0ms
#83 Step 3.5 Flash none Stepfun 1 3.0 0/1 0ms
#132 Mistral Small 4 medium Mistral 1 7.3 1/2 1.23s
#156 Hy3 preview none Tencent 1 6.5 1/2 2.85s
#33 Hy3 preview medium Tencent 1 6.5 1/2 5.25s
#89 Hy3 preview low Tencent 1 6.5 1/2 5.85s
#126 gpt-oss-120b none OpenAI 1 6.5 1/2 7.12s
#20 Gemini 3.5 Flash none Google 1 6.5 1/2 8.10s
#100 Grok Build 0.1 none X AI 1 3.8 0/2 9.33s
#82 Hy3 preview high Tencent 1 6.5 1/2 12.1s
#152 MiMo-V2-Flash none Xiaomi 1 2.9 0/2 19.7s
#103 DeepSeek V4 Pro high DeepSeek 1 7.3 1/2 23.6s
#113 DeepSeek V4 Pro none DeepSeek 1 6.9 1/2 30.5s
#96 Ring-2.6-1T none Inclusionai 1 3.0 0/2 45.9s
#49 Qwen3.5-Flash medium Qwen 1 7.3 1/2 57.0s

Top Models by API error Count

API error Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost