What does it cost to use Claude Opus here?

You pay $29.99/month, with every model included, as well as AI image generation tools, an [AI text humanizer](https://www.lorka.ai/ai-tools/ai-writing-tools/ai-humanizer), and more. Your Lorka AI subscription **gives you access to Claude Opus** alongside GPT, Gemini, Grok, and other available models.

Do I need a separate Anthropic subscription?

No, Claude Opus is included in your Lorka AI plan, so you can use it alongside Sonnet and Haiku, as well as other AI models like GPT, Gemini, Grok, [DeepSeek](lhttps://www.lorka.ai/knowledge-hub/what-is-deepseek), and more in a single plan.

Do I actually need Opus, or will Sonnet do?

Sonnet is good enough for most **tasks that you need to do on a daily basis**, like simple writing or doing an Excel spreadsheet. If you need to complete tasks like tracking dependencies across a codebase or working through difficult trade-offs, you should use the latest Opus model.

Can I switch models mid-conversation?

Yes, your conversation context carries over when you switch models. You can ask Opus to investigate a difficult problem, then continue with another model in the same chat.

What happened to older Opus versions?

Older Opus models can still be used, but they are considered obsolete or retired. Check earlier Claude Opus versions to find the replacement for the model you previously used.

Is Claude Opus good for coding?

Opus is [a great choice for coding](lhttps://www.lorka.ai/knowledge-hub/what-is-claude-code), especially **when your task involves multiple files or services**. For example, you can ask it to investigate slow API responses, propose a batched lookup, and draft a regression test.

Can it read images and documents?

Yes, you can attach **screenshots, charts, and PDFs, and more**; then you can ask Opus to explain the contents or compare them for inconsistencies.

Why is Opus slower than Sonnet?

Opus can take longer to generate an output because it uses more computation to work through demanding tasks. That trade-off can be worthwhile for advanced investigation. However, if you don't need stronger analysis and want answers quickly, you can choose the latest Sonnet model.

Use Claude Opus 5.5 Without an Anthropic Subscription

Chat with Anthropic’s Claude Opus for demanding work alongside GPT, Gemini, Grok, and more models in a single subscription.

Try Claude Opus 5.5 Now

How to Choose a Claude Model for Your Workflow

Go over the following model families’ features to understand which model works best for your work. You can work with Opus, Sonnet, Haiku, and Fable on Lorka AI.

Choose Opus for more complex tasks

Use Opus for hard-to-disentangle work, but be prepared for a longer wait than lighter models of Claude. If the connections you trace matter more than a fast reply, use Opus.

Try Sonnet for most of your daily work

Working with the latest version of Sonnet is a useful starting point for everyday coding and writing that isn’t too complicated.

You can also start with Sonnet and move to Opus when it misses dependencies or needs repeated corrections.

Go with Fable when Opus falls short

If Opus keeps missing the same architectural problem or cannot carry a difficult analysis through to a rational conclusion, you can test the latest version of Fable. Give it the same materials and keep it only if the result improves enough to justify the extra wait.

Use Haiku for repetitive work at a high volume

For tagging support tickets or summarizing batches of short documents, go with Haiku and save Opus for the exceptions.

Explore the full Claude model comparison →

What Claude Opus Excels at

Choose Opus when your task spans a codebase or several decisions that affect one another.

Capability	What you can use it for
Migrations, audits, and refactors	Trace dependencies across the supplied project files, plan changes that touch multiple services, and identify tests that could catch unintended effects.
Documents that disagree	Compare contracts, appendices, research papers, and meeting records to surface conflicting terms, changed assumptions, and questions that a summary would miss.
Decisions that need evidence	Examine forecasts or architecture proposals, challenge the assumptions behind them, and connect each recommendation to evidence you can review.
Work that takes multiple steps	In a tool-enabled workflow, carry a task through planning, execution, and checks, then report unresolved problems and decisions needing your input.

See How Claude Opus Handles Real Work

Discover how the Anthropic model can do advanced tasks such as coding, analysis, and more.

User

Audit our monorepo (api-gateway, catalog-service, checkout-service, shared/) for slow API responses. Rank bottlenecks by impact across all services, fix the top one safely, add regression coverage, and explain how to validate before rollout.

Claude Opus 5.5Multi-Service Bottleneck Analysis and Resolution

Output: | # | Location | Issue | Impact | | - | -------------------------- | --------------------------------------------------- | --------------------------- | | 1 | shared/auth/jwks.py | JWKS keys fetched over the network on every request | +110 ms on all 41 endpoints | | 2 | catalog-service/search.py | Inventory looked up one SKU at a time (N+1) | +340 ms P95, 1 endpoint | | 3 | checkout-service/orders.py | Confirmation email sent synchronously | +210 ms P95, 2 endpoints | | 4 | api-gateway/config.yaml | Compression disabled for JSON responses | +60 ms on large payloads | Why #1 first: #2 has the largest single spike, but #1 is in shared middleware imported by every service, so fixing it cuts total request time across the system by roughly 4× more than fixing #2.

JSON

1# shared/auth/jwks.py
2_TTL, _MIN_FORCED_REFRESH = 600, 30
3_cache = {"keys": {}, "fetched_at": 0.0, "forced_at": 0.0}
4_lock = threading.Lock()
5
6def get_signing_key(kid):
7    keys = _load_keys()
8    if kid not in keys:  # handles key rotation
9        keys = _load_keys(force=True)
10    return keys.get(kid)
11
12def _load_keys(force=False):
13    with _lock:
14        now = time.monotonic()
15        stale = now - _cache["fetched_at"] > _TTL
16        # rate-limit forced refreshes so bogus kids can't trigger a fetch storm
17        can_force = force and now - _cache["forced_at"] > _MIN_FORCED_REFRESH
18        if stale or can_force:
19            _cache["keys"] = fetch_jwks()
20            _cache["fetched_at"] = now
21            if force:
22                _cache["forced_at"] = now
23        return _cache["keys"]
24
25# Regression tests
26def test_keys_fetched_once_across_requests(mocker, reset_jwks_cache):
27    fetch = mocker.patch("shared.auth.jwks.fetch_jwks", return_value={"k1": KEY})
28    for _ in range(100):
29        get_signing_key("k1")
30    assert fetch.call_count == 1
31
32def test_unknown_kid_cannot_cause_fetch_storm(mocker, reset_jwks_cache):
33    fetch = mocker.patch("shared.auth.jwks.fetch_jwks", return_value={"k1": KEY})
34    for i in range(50):
35        get_signing_key(f"bogus-{i}")
36    assert fetch.call_count <= 2

Validate before rollout 1. Run the full auth test suite for all three services, since they all import this module. 2. In staging, rotate the signing key and confirm new tokens are accepted within one request. 3. Canary to 5% of gateway traffic for 24 h. Proceed if P95 drops by ~100 ms and the 401 rate is unchanged.

Claude Opus Benchmark Results

Here is how the latest Opus models perform vs. other models from OpenAI and Claude at max effort.

Source: Anthropic

Try Claude Opus With Leading Models in One AI Workspace

Lorka AI brings Claude, GPT, Gemini, and Grok together so you can choose how to tackle each task without juggling subscriptions.

Try Claude Opus 5.5 now

Compare leading models

Compare responses from Opus, Fable, GPT, and Gemini using the same prompt and files to see which best addresses your task.

Match capability to difficulty

Choose Opus for complex investigations and switch to Sonnet when the next step calls for a quicker, simpler response.

Keep your project together

Keep documents and previous outputs in one workspace so you can change models without rebuilding your project context.

Test before standardizing

Review the accuracy and editing effort of Opus, Sonnet, Gemini, DeepSeek, and more on a recurring task before making a specific model part of your team’s workflow.

Reduce your AI spending

Get dozens of AI models for $29.99 a month under one plan, with different options for both demanding and lighter work.

Try Claude Opus 5.5 now

Claude Opus vs. Other AI Models on Lorka AI

Compare Claude Opus and other frontier models found in Lorka’s AI chat.

Legend:

💡Reasoning

⚡Speed

🤖Multimodality

🧠Context

(1: Poor – 5: Very good)

Models	Reasoning	Speed	Multimodality	Context	Ideal use cases
Claude Opus	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Large codebase changes and complex analysis
Claude Fable	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Demanding projects where Opus falls short
Claude Sonnet	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Demanding projects where Opus falls short
Claude Haiku	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Fast, repetitive tasks at scale
GPT	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Advanced programming and technical investigations
Gemini Flash	💡💡💡💡💡	⚡⚡⚡⚡⚡	🤖🤖🤖🤖🤖	🧠🧠🧠🧠🧠	Fast analysis of visual content and documents

Claude Opus

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Large codebase changes and complex analysis

Claude Fable

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Demanding projects where Opus falls short

Claude Sonnet

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Demanding projects where Opus falls short

Claude Haiku

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Fast, repetitive tasks at scale

GPT

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Advanced programming and technical investigations

Gemini Flash

Reasoning

💡💡💡💡💡

Speed

⚡⚡⚡⚡⚡

Multimodality

🤖🤖🤖🤖🤖

Context

🧠🧠🧠🧠🧠

Ideal Use Cases

Fast analysis of visual content and documents

Earlier Claude Opus Versions

Older Opus releases are no longer available separately on Lorka AI. Find the model you used below and continue with its replacement.

Previous models: Opus 4.6, Opus 4.7, Opus 4.8, Opus 5
What to use instead: Claude Opus 5.5

What improves when you switch?

Compared with older Opus versions, the latest model offers stronger coding performance, faster responses, and more efficient execution of complex tasks.

Larger coding tasks: Better support for migrations, debugging, and changes across multiple project files.

Faster execution: Less waiting for output, with fewer steps needed for some complex workflows.

More efficient processing: Lower underlying model costs, while your access remains part of the same Lorka AI subscription.

Stronger analysis: Improved performance on demanding research, financial analysis, and other professional task

Chat With Claude Opus Today

Access Claude Opus on Lorka now. Create an account and start a multi-LLM workflow with Opus, GPT, and more.

Try Claude Opus 5.5 now

Claude Opus FAQs

You pay $29.99/month, with every model included, as well as AI image generation tools, an AI text humanizer, and more. Your Lorka AI subscription gives you access to Claude Opus alongside GPT, Gemini, Grok, and other available models.