~1M-token context
Public materials cite up to ~1M input tokens—whole repos, long specs, and agent threads with less chunking.
Claude Opus 4.6
Try itClaude Opus 4.6
Frontier Claude for hard coding and agents
~1M context and 128K output with effort tiers and prompt caching—run large codebases, long specs, and multi-step agents in LimaxAI alongside GPT, Gemini, and more.
- ~1M context
- 128K max output
- Coding · agents
- Effort tiers
- Prompt 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 tokens for long reports, full patches, and large structured deliverables.
Effort & deep reasoning
Adjustable effort (e.g. low / medium / high) to trade latency, cost, and reasoning depth (per integration).
Agents & tool use
Function calling, computer-use class capabilities, and multi-step agent loops for dev and ops automation.
Multimodal input
Images plus text out for UI review, charts, and document Q&A (per chat attachments).
Prompt caching
Cache repeated system prompts, tool schemas, and long prefixes to cut cost on hot agent and IDE paths (API; chat per product).
Use cases
Best-fit scenarios
Aligned with public Claude Opus 4.6 positioning; images are illustrative.
Hard coding & repo understanding
Cross-file refactors, deep debugging, architecture review, and large PR summaries with full context in one thread.
Multi-step agents & tool chains
Search–execute–edit–verify loops for dev automation, data cleanup, and runbooks (per chat tools).
Long documents at scale
Contracts, papers, logs, and spec-sized material in one session—less manual splitting and context loss.
Why LimaxAI
Why use it on LimaxAI
Same chat workspace as GPT, Gemini, and DeepSeek—no separate Anthropic console.
Frontier Claude in your stack
Route hard work to Opus; shift everyday chat to Sonnet in the same credits system.
Unified credits
Bill against LimaxAI points rules for straightforward team comparisons.
Streaming chat UX
Same streaming pipeline as other chat models for long replies and agent iteration.
Claude family
Claude family (qualitative)
Opus 4.6 targets frontier quality; compare Opus 4.7 for the newest generation; Sonnet for cost-sensitive daily use.
Public specs evolve; available entries follow LimaxAI’s model list.
| Dimension | Opus 4.6 | Opus 4.7 | Sonnet |
|---|---|---|---|
| Positioning | Frontier · coding & agents | Newer Opus gen | Balanced · daily |
| Context | ~1M | ~1M | Varies by release |
| Max output | 128K | 128K | Varies |
| Typical tasks | Hard coding · long agents | Hardest frontier work | High-throughput chat |
| Pick when | Quality & long context first | Want newest Opus | Cost & speed first |
Get started
Get started in three steps
Try Claude Opus 4.6 in LimaxAI chat.
Sign in to LimaxAI
Open Chat and find Claude Opus 4.6 (or a similarly named entry) in the model list.
Send a real test
Start with code review, long-document Q&A, or a short agent prompt and check quality vs latency.
Route by task
Escalate outliers to Opus 4.7, keep daily traffic on Sonnet, and check pricing for credits.
FAQ
FAQ
How does Opus 4.6 differ from 4.7?
Public materials position 4.7 as the newer Opus generation with stronger reasoning and agents; 4.6 remains a mature frontier tier. What LimaxAI lists is authoritative.
How large is the context window?
Public specs cite ~1M input and up to ~128K output. Limits in chat follow LimaxAI’s model list and gateway policy.
What are effort tiers?
Effort trades reasoning depth, latency, and cost (e.g. low / medium / high). Whether chat exposes the control depends on the product.
Which model ID should I use?
APIs often use identifiers like claude-opus-4-6. In LimaxAI Chat, pick the matching list entry—names may change with ops config.
Opus vs Sonnet?
Use Opus for hard coding, long agents, and tough reasoning; Sonnet for cost-sensitive, high-throughput everyday chat.
Is prompt caching supported?
Yes in public API materials for repeated prefixes; chat behavior follows LimaxAI product docs.
How am I billed on LimaxAI?
Per selected chat model and published points rules—see pricing and your usage history.
Try in LimaxAI Chat
Stress-test Claude Opus 4.6 on a real task
Open Chat, pick Opus 4.6, and start with code review or a long agent draft.