~1M-token context
Same ~million-token input class as 4.6 for whole repos, long specs, and agent threads.
Claude Opus 4.7
Try itClaude Opus 4.7
Newest Opus: harder tasks, same long context
Builds on 4.6’s ~1M window and 128K output with public emphasis on stronger coding, agents, and reasoning—compare side by side with GPT and Gemini on LimaxAI.
- ~1M context
- 128K max output
- Newest Opus
- Agents · coding
- Effort · cache
Capabilities & limits
Core capabilities & limits
Key specs for production planning; exact toggles follow what LimaxAI exposes in chat.
128K max output
Up to ~128K output for long reports, full patches, and large structured results.
Stronger reasoning & effort
Public story highlights gains over 4.6; effort tiers still tune depth vs cost.
Agents & tool use
Longer tool loops, computer-use class capabilities, and complex automation playbooks (per chat tools).
Multimodal input
Images plus text out for UI, charts, and mixed document tasks.
Prompt caching
Cache repeated system content and long prefixes for hot agent and IDE integrations (API; chat per product).
Use cases
Best-fit scenarios
Aligned with public Claude Opus 4.7 positioning; images are illustrative.
Hardest coding & debugging
Cross-language refactors, subtle bugs, performance and architecture calls—when 4.6 or Sonnet is not enough.
Complex agent automation
Longer chains, stricter verification, and higher-stakes dev/ops agents (per platform tools).
Very long materials in one pass
Regulatory, research, logs, and multi-attachment threads without chunking losses.
Why LimaxAI
Why use it on LimaxAI
Try the newest Opus without leaving your multi-model workspace.
Latest Opus in one click
Pick 4.7 from the list—no separate Anthropic account required for comparison trials.
Unified credits
Same points rules as 4.6, Sonnet, and other brands for team governance.
Streaming chat UX
Long replies and agent iteration on the standard streaming pipeline.
Claude family
Claude family (qualitative)
4.7 is the newest Opus; 4.6 remains a strong frontier tier; Sonnet covers daily cost-sensitive work.
Public specs evolve; available entries follow LimaxAI’s model list.
| Dimension | Opus 4.7 | Opus 4.6 | Sonnet |
|---|---|---|---|
| Positioning | Newest frontier Opus | Mature Opus 4.6 | Balanced · daily |
| Context | ~1M | ~1M | Varies by release |
| Max output | 128K | 128K | Varies |
| Typical tasks | Hardest coding · agents | Complex frontier work | High-throughput chat |
| Pick when | Want newest strongest Opus | Stable frontier tier | Cost & speed first |
Get started
Get started in three steps
Try Claude Opus 4.7 in LimaxAI chat.
Sign in to LimaxAI
Open Chat and select Claude Opus 4.7 (or a similarly named entry).
Benchmark on hard tasks
Start with tough debugging, long agents, or multi-file specs and compare vs 4.6 / Sonnet.
Route traffic by cost
Keep daily volume on Sonnet; reserve 4.7 for the hardest cases and check pricing.
FAQ
FAQ
What improves in 4.7 vs 4.6?
Public materials emphasize newer reasoning, coding, and agent performance with similar context/output ceilings. Perceived gains depend on task and LimaxAI’s integration version.
Context and output limits?
~1M input and up to ~128K output in public specs. Chat limits follow the model list.
When pick 4.7 over 4.6?
When tasks are hardest, agent chains are longest, or you want the newest Opus tier and accept higher credits—otherwise 4.6 may be more economical.
What model ID?
APIs often use claude-opus-4-7; LimaxAI Chat follows list display names.
Multimodal support?
Image input is supported in public materials; attachment types in chat follow the product.
How does prompt caching work?
Most common in API integrations with repeated prefixes; see LimaxAI docs for chat.
Billing?
Per selected model and published points rules—see pricing.
Try in LimaxAI Chat
Stress-test Claude Opus 4.7 on your hardest task
Open Chat, pick 4.7, and start with complex coding or a long agent draft.