01THE PROBLEM
Every month, a new "best" model.
GPT-5.5 Claude Fable 5 DeepSeek V4 Gemini 3.1 Pro Opus 4.8
Generic leaderboard rank#1 · #2 · #3 …
How it performs on your task?
The only way to know is to test it — on your work
02DESCRIBE IT
openmark.ai — editor · simple mode
DESCRIBE THE TASK
✨ Generate
TASK PREVIEW
task: ticket-urgency-classifier
tests:
  - prompt: "Classify: 'Site is down…'"
    expected: "high"
  - prompt: "Classify: 'Typo in the docs…'" # +3 more
scoring: exact_match
scoring auto-selected · 18 deterministic modes
03YOUR RULES
openmark.ai — editor · advanced & manual
Test 1 — prompt + expected answer📎 invoice_03.pdf
Test 2 — prompt + expected answer📎 photo_112.jpg
+Add test — files, images & documents as inputs
MANUAL · YAML
- prompt: "{{your production prompt}}"
  expected: "{{known good output}}"
  scoring: contains_all
attach files & images edit every detail by hand test your production prompts
04PICK MODELS & RUN
openmark.ai — benchmark · 100+ models LIVE RUN
gpt-5.4 claude-opus-4.6 gemini-3.1-flash-lite claude-fable-5 deepseek-v4 mistral-large grok-4 command-a gpt-5.1 claude-haiku-4.5 gemini-3-flash qwen3-235b
Stability runs 2
Max tokens 200
Find optimal temp ON
Fail fast ON
RUNNING — REAL API CALLS, IN PARALLEL
gpt-5.4
claude-opus-4.6
gemini-3.1-flash-lite
05THE RESULTS
openmark.ai — results · your task
1gpt-5.4
69%$0.00208
2claude-opus-4.6
66%$0.0257
3gemini-3.1-flash-lite
63%$0.000168
4mistral-large
61%$0.000754
5claude-opus-4.7
61%$0.0170
accuracy · stability · speed · real cost per run
gpt-5.4 · test 7/20✓ 1.0/1.0
EXPECTED
high
MODEL RESPONSE — RUN 1/2
high
in 585 tokout 41 tok2.6s
06SHARE IT
Your task — benchmark results
gpt-5.4
claude-opus-4.6
gemini-3.1-flash
openmark.ai — shareable results image
CSV JSON TXT
07START FREE

OpenMark

STOP GUESSING. KNOW.
NO API KEYS NO CODE FREE TO START
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100+ MODELSREAL API CALLSSCORED RESULTS