Real-world comparison: Opus 4.6 vs MiMo-V2-Pro vs GLM-5 on OpenClaw setup

Test setup and methodology

A developer ran real-world tests comparing three AI models: Opus 4.6, MiMo-V2-Pro, and GLM-5. The setup used OpenClaw + Telegram + Mac node + Chrome CDP (browser automation), with all models running on the same infrastructure with the same tools.

Test results by category

Test 1: Turkish idiom translation

The task was to translate the Turkish sentence "Adam çok pişkin, yüzüne bakılmaz ama işini bilir." with cultural idioms into English.

• Opus: Nailed both idioms, explained the cultural context. Score: 9/10
• MiMo: Got "pişkin" right but mistranslated "yüzüne bakılmaz" as "can't stand looking at him" — close but not quite. Score: 6/10
• GLM-5: Translated "yüzüne bakılmaz" as "not exactly trustworthy" — completely off. Score: 5/10

Test 2: Python coding (markdown link checker)

Task: Create a Python function that extracts all links from a markdown file, checks HTTP status, and reports broken ones.

• Opus: Clean, parallel, bare URL support, dedup. But no HEAD fallback or User-Agent. Score: 8/10
• MiMo: HEAD→GET fallback, User-Agent header, stream mode. Most production-ready code came from MiMo. Score: 9/10
• GLM-5: Works but missing edge cases. Score: 7.5/10

MiMo beat Opus at coding, which surprised the tester.

Test 3: Spatial reasoning

Question: "A is behind B, B is behind C, C is facing the door. Can A see the door?" All three models got it right. Score: 10/10 each.

Test 4: Long context coherence

Gave them a long conversation summary and asked 7 detailed questions about specific facts.

• Opus: 67/70 — most consistent, no hallucination
• MiMo: 64/70 — said "not mentioned in text" when unsure instead of making stuff up
• GLM-5: 64/70 — but hallucinated a wrong correction on one answer

Test 5: Browser automation

Had MiMo search Gmail via Chrome CDP, read an email, and summarize an X thread. Also opened 3 tabs and read all titles. Completed everything successfully.

Cost comparison

All these tests + browsing + conversations cost 44 cents total on MiMo. Same workload on Opus API would be around $8-10. That's a 20x price difference.

Overall impressions

• Opus is still #1 overall, especially for non-English nuance and long context coherence
• MiMo beat Opus at coding, costs 1/10th the price, good hallucination resistance
• GLM-5 is surprisingly close to both (paying ~$70/3 months for it)
• MiMo handled browser automation without issues

The tester is not switching away from Opus — MiMo doesn't have a flat subscription plan and it's still weak on non-English language understanding. But the fact that it outperformed GLM-5 and competed with Opus in coding is impressive.