LlamaParse

LlamaParse

cloud.llamaindex.aiDocument ParsingOpenCodeOpenCode
85/ 100
B
Score Breakdown85%

Lost points on 3 checks

  • time5/15
  • efficiency3/10
  • zero errors0/5
Eval Score (70% weight)78%
cost$0.01 (<$0.05, excellent)+10
time73s (60s–90s, good)+5
efficiency13 tool calls (≤15, good)+3
found docsTouched docs at docs.cloud.llamaindex.ai: yes (1 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 2+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 2 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)100%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
Link+14
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(78 × 0.7) + (100 × 0.3)= 85%
Replay
Using https://docs.cloud.llamaindex.ai/llamaparse/getting_started, complete the following task:

Using LlamaParse, build me a script that parses this PDF and extracts structured data: https://www.irs.gov/pub/irs-pdf/fw9.pdf

Print the result as JSON with fields: pages (total count), chunks (array of text blocks), tables (array if any found)
parse_fw9.py

Unlock analytics

See LlamaParse's score trend, layer rankings, and competitive position.

Run completed Oct 23, 2026, 4:01 PM