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.
📖 Read the full source: r/openclaw
👀 See Also

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