ReviewRadar

GLOBAL AI REVIEW RADAR

2026.08.20 · Thursday

Issue 010

Key Updates 3 | Leaderboard Flash 0 | Highlights 0 | Tomorrow's Watch 0

KEY UPDATES

Update 1
Rank Model Vendor Score
1 Claude Opus 5 (max) Anthropic 63
2 Claude Fable 5 Anthropic 62
3 GPT-5.6 Sol (max) OpenAI 61
4 Grok 4.6 (high) SpaceXAI 61
5 Kimi K3 (max) Moonshot AI 60
6 GLM-5.3 (max) Zhipu 60
7 Qwen3.8-Max Alibaba 58
Plain Talk | This score is an "Average AI IQ" calculated by weighting 9 standard exams

Rank Model Vendor Score
1 Claude Opus 5 (max) Anthropic 63
2 Claude Fable 5 Anthropic 62
3 GPT-5.6 Sol (max) OpenAI 61
4 Grok 4.6 (high) SpaceXAI 61
5 Kimi K3 (max) Moonshot AI 60
6 GLM-5.3 (max) Zhipu 60
7 Qwen3.8-Max Alibaba 58
Plain Talk | This score is an "Average AI IQ" calculated by weighting 9 standard exams. Today's capture shows Anthropic sweeping the top two. OpenAI and xAI tie for the third tier. Chinese camp's Kimi K3 and GLM-5.3 both squeeze into the 60-point tier; Qwen3.8-Max touches 58. The score gap between top US and Chinese models has converged to single digits.

Update 2
Rank Model Vendor Elo
1 Claude Opus 5 (max) Anthropic 1692
2 Kimi K3 (max) Moonshot AI 1674
3 Qwen3.8-Max Alibaba 1667
4 Claude Opus 5 (high) Anthropic 1663
5 Grok 4.6 (high) SpaceXAI 1631
Plain Talk | This is a leaderboard where developers anonymously vote on "whose code is more usable." Biggest news in the latest snapshot: Two of the top three are Chinese models

Rank Model Vendor Elo
1 Claude Opus 5 (max) Anthropic 1692
2 Kimi K3 (max) Moonshot AI 1674
3 Qwen3.8-Max Alibaba 1667
4 Claude Opus 5 (high) Anthropic 1663
5 Grok 4.6 (high) SpaceXAI 1631
Plain Talk | This is a leaderboard where developers anonymously vote on "whose code is more usable." Biggest news in the latest snapshot: Two of the top three are Chinese models. Kimi K3 is second, Qwen3.8-Max third, biting closely at first-place Claude. DeepSeek's V4 Pro also squeezed into the top ten. Programming capabilities of Chinese open-source models are now on the same starting line as top closed-source models.

Update 3
Rank Model Vendor Elo
1 GPT-Image-2 (medium) OpenAI 1463
2 Grok Imagine 2.0 (low) SpaceXAI 1439
3 MAI-Image 2.6 (Preview) Microsoft 1420
4 Muse Image Meta 1406
5 Seedream 5.0 Pro ByteDance 1394
Plain Talk | Image editing blind test is "Let AI edit images per your instructions, compare whose edits please you most." GPT-Image-2 sits firmly first with nearly 200k battles

Rank Model Vendor Elo
1 GPT-Image-2 (medium) OpenAI 1463
2 Grok Imagine 2.0 (low) SpaceXAI 1439
3 MAI-Image 2.6 (Preview) Microsoft 1420
4 Muse Image Meta 1406
5 Seedream 5.0 Pro ByteDance 1394
Plain Talk | Image editing blind test is "Let AI edit images per your instructions, compare whose edits please you most." GPT-Image-2 sits firmly first with nearly 200k battles. Microsoft's preview model parachuted straight to third, but with only 5k+ battles, the score isn't stable yet—just take a look. Highest domestic rank is ByteDance's Seedream 5.0 Pro at sixth. For image editing, it's still American companies' turf. Section Highlights Pander Score New Benchmark | When users express strong opinions, does AI stick to facts or pander to the user? This new benchmark aims to quantify this. "AI pandering to users" finally has a ruler. Assistants that love marketing hype should be pulled out and tested. Bloomberg Cross-Comparison of US-China AI | Placing agents from ChatGPT, Gemini, DeepSeek, Kimi into the same coordinate system to compare who is more capable and who is cheaper. One chart clarifies the current landscape. Cross-comparison charts from authoritative media are suitable for saving as reference coordinates. Window Cleaning Robot Field Test | Wired tested high-end window cleaning robots. Cleaning effect is okay, but slow climbing, missed corners, and issues returning to charge dock are possible. Conclusion: Don't buy, use a rag. Another record of smart hardware failure. Check field tests before buying high-tech household tools. 10 Common Security Flaws in AI-Generated Apps | Hardcoded keys, excessive permissions, unvalidated inputs. A developer names the 10 most common security errors in AI-generated code one by one. AI writing code is indeed fast, but writing secure code still requires human oversight. AI Output Becomes New Attack Vector | Tech share at Symfony conference proposes that AI-generated content is replacing human input as the new vector for injection and privilege escalation. We used to sanitize user input; now we must validate AI output. Zeno Local AI Workbench | Developers open-sourced Zeno, focusing on MacBo...

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