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Opus 4.7: 50% More Tokens, 5h Limits, Devs Are Mixed

pulse Rusted machine with cracked "LIMIT" gauge in the red leaks green smoke — Opus 4.7 burns tokens and hits caps.

 
opus 4.7 launched. thehype reviewed early x feedback. here’s what users are actually seeing:

1/ consumes ~50% more tokens than opus 4.6 and ~2x vs gemini

efficiency is getting worse, not better. cost per task is increasing with capability

Jun Song's tweet showing Opus 4.7 uses ~2x Gemini's tokens and 50% more than Opus 4.6 in a tokenizer comparison table.

2/ hits 5-hour limit fast

usage caps become a real constraint. even paid tiers can’t sustain heavy workflows

BridgeMind's tweet: Opus 4.7 hit 100% session usage on the $200/month Max plan two hours after launch.

3/ weaker or uncertain long-context performance

4.6 positioned as a stable long-context model
4.7 introduces doubt in one of its core strengths

Lisan al Gaib's tweet with MRCR v2 chart at 1M tokens: Opus 4.6 hits 78.3%, Opus 4.7 drops to 32.2%.

4/ still far from mythos-level autonomy

opus 4.7 can modify code, but not maintain full system integrity. engineer supervision remains required

Suhail Kakar's tweet: Opus 4.7 refactored 28 files with +49,474 lines in 68 minutes, app fully broken.

5/ no control over adaptive thinking

reasoning depth is managed by the system. users lose direct control over cost and behavior during tasks

MissMi1973's tweet comparing Sonnet 4.6 with extended-thinking toggle to Opus 4.7's mandatory adaptive mode.

6/ issues with web search activation

no comments

Yuchen Jin's tweet: Opus 4.7 on Claude web denies Opus 4.6 exists and won't trigger thinking or search mid-chat.

7/ strong at async work and instruction following

better consistency across longer tasks. clear improvement toward agent-style execution

p.s. author of the tweet works at anthropic =)

Anthropic's Alex Albert lists Opus 4.7 wins: async work, predictable effort levels, no image downscaling, better UI taste.

8/ generates high-quality design and animations

output quality in visuals and frontend noticeably improved. models are becoming usable for presentation-level work

Dev Ed's tweet comparing Opus 4.7 and GPT-5.4 SVG plant renders — Opus shows gradient depth and prettier leaves.

9/ can handle complex environments (e.g. minecraft), but unreliably

capability is there, but execution is inconsistent. still not production-grade autonomy

Angel's tweet: Opus 4.7 added Minecraft mobs and ore generation but most things broke and couldn't self-repair.

10/ excels at simple game building

strong performance on contained systems (shooters, simulators). works best where scope is limited and feedback loops are tight

Ray Fernando's tweet: Opus 4.7 one-shotted an FPS with multiple weapons in a single HTML file during a live stream.

what’s your take on opus 4.7 so far?

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