ByClaude Opus 5 is Anthropic’s new flagship AI model, released on July 24, 2026, delivering frontier-level coding and reasoning benchmarks at the same price as its predecessor. It costs $5 per million input tokens and $25 per million output tokens, identical to Opus 4.8, while posting a new state-of-the-art score on Frontier-Bench and a record single-round jump on the ARC-AGI-3 leaderboard.
If you’re deciding whether to switch your workflow to this model, this guide covers what changed, what it costs, how it performs against its predecessor, and how to start using it today.
What Is Claude Opus 5?
Claude Opus 5 is Anthropic’s most capable model in the Claude 5 family, positioned above Sonnet 5 for the hardest coding, agentic, and long-horizon knowledge-work tasks. According to Anthropic’s official announcement, it delivers gains in agentic coding, computer use, and mathematical reasoning over its predecessor, Opus 4.8.
Anthropic describes the model as “much stronger at verifying its work and iterating carefully until it succeeds,” a shift in emphasis from raw output speed toward getting multi-step tasks right on the first real attempt. That kind of reliability matters most for autonomous coding agents and long-running workflows, where a single early mistake can compound across dozens of later steps.
It sits at the top of a lineup that also includes the faster, cheaper Sonnet 5 and the larger Fable 5, giving Anthropic three distinct price-to-capability tiers rather than a single one-size-fits-all model. Choosing between them comes down to how much a task’s difficulty and accuracy requirements justify the extra cost.
When Was Opus 5 Released and How Much Does It Cost?
Anthropic released Opus 5 on July 24, 2026, making it available immediately across Claude’s consumer and developer platforms. TechCrunch’s coverage of the launch noted that pricing stayed flat at $5 per million input tokens and $25 per million output tokens, unchanged from Opus 4.8, even as benchmark scores jumped substantially.
Anthropic also offers cost-reduction options on top of that base price: up to 90% savings with prompt caching for repeated context, and 50% savings when requests run through the batch processing API instead of in real time. For teams running high-volume agentic workflows, those two discounts often matter more than the headline per-token price.
Holding the price steady while pushing benchmark scores higher is a deliberate positioning choice. Rather than charging more for a stronger model, Anthropic is betting that keeping Opus-tier pricing flat encourages more teams to use its top model by default, instead of routing everything to a cheaper tier to save money.
What Are Opus 5’s Specs at a Glance?
| Detail | Information |
|---|---|
| Release Date | July 24, 2026 |
| Input Price | $5 per million tokens |
| Output Price | $25 per million tokens |
| Fast Mode Price | $10 / $50 per million tokens (input/output) |
| Context Window | 1,000,000 tokens |
| Max Output | 128,000 tokens |
| Knowledge Cutoff | May 2026 |
| Available On | Claude Pro, Max, Team, Enterprise, and the API |
The 1-million-token context window matters for real-world use beyond benchmark scores. It’s large enough to hold an entire mid-sized codebase, a full legal contract set, or hours of meeting transcripts in a single request, without the chunking and retrieval workarounds smaller context windows require.
The 128,000-token maximum output is equally relevant for coding use cases. A model can hold a huge amount of input context, but if its output limit is small, it still has to truncate a large refactor or a long generated report into multiple requests. A higher output ceiling means fewer awkward cutoffs mid-task.
What Are Opus 5’s Key Benchmark Results?
Anthropic’s launch announcement highlighted four evaluations where the model posted its biggest gains. Here’s what each one measures and how it scored, according to Anthropic’s published results.
| Benchmark | Result |
|---|---|
| Frontier-Bench v0.1 | More than double Opus 4.8’s score; new state-of-the-art among evaluated models |
| CursorBench 3.2 | Within 0.5% of Fable 5’s peak score, at roughly half the cost per task |
| ARC-AGI-3 | Scored 30.2%, about 3x the next-best model and the largest single jump recorded on that leaderboard |
| GDPval-AA | New state-of-the-art on coding and knowledge-work tasks; trails Mythos 5 only on cybersecurity tasks |
The ARC-AGI-3 result stands out because that benchmark is designed to resist memorization: it tests novel reasoning puzzles a model hasn’t seen in training, rather than problems that resemble common training data. A 3x jump over the next-best model on a benchmark built specifically to be hard to game is a stronger signal than most single-number leaderboard claims.
CursorBench 3.2 tells a different but complementary story. Closing to within 0.5% of a larger, more expensive model at roughly half the cost per task is less about raw capability and more about efficiency, the kind of result that changes which model makes sense for a production workload rather than just a benchmark leaderboard.
How Is Opus 5 Different From Opus 4.5?
Opus 4.5 and Opus 5 are two full releases apart, with Opus 4.8 sitting in between as an interim update. If you’re still comparing against Opus 4.5 specifically, the gap is significant: the new model’s Frontier-Bench score more than doubles what Opus 4.8 achieved, and Opus 4.8 itself was already a meaningful step up from 4.5. For a full breakdown of what Opus 4.5 offered when it launched, see our original coverage of Claude Opus 4.5.
The practical difference for most users isn’t a single benchmark number, it’s reliability on long, multi-step tasks. Anthropic’s framing emphasizes “iterating carefully until it succeeds” rather than raw first-pass speed, which shows up most clearly in agentic coding sessions that used to need manual correction partway through.
If you were already running production workflows on Opus 4.5, the upgrade path is usually a drop-in model swap rather than a rebuild, since Anthropic has kept the same API shape across the 4.x and 5 generations. The bigger decision is whether your workload benefits enough from the accuracy gains to justify re-testing your prompts against the new model’s behavior.
What Is Opus 5 Fast Mode?
Fast Mode is an alternate inference setting for the model that trades a higher per-token price for roughly 2.5x faster response times. It costs $10 per million input tokens and $50 per million output tokens, double the standard rate.
Fast Mode makes the most sense for latency-sensitive, user-facing applications, like a live coding assistant or a customer-facing chat interface, where a visible delay costs more than the extra token spend. For batch analysis, long document processing, or background agent tasks, the standard rate combined with batch-API discounts is almost always the better tradeoff.
A useful way to decide: if a human is watching the response stream in real time, Fast Mode’s speed usually earns back its cost in user experience. If the response feeds into an automated pipeline nobody is watching live, the standard rate paired with prompt caching is almost always cheaper for the same overall throughput.
How Does Opus 5 Fit Into Anthropic’s Broader Model Lineup?
Anthropic now ships three tiers under the Claude 5 name: Sonnet 5 for fast, low-cost agent work, Opus 5 for frontier-level reasoning at Opus pricing, and Fable 5 as the largest, most expensive model in the lineup. Each release date has landed close together in 2026, with Sonnet 5 launching June 30 and Opus 5 following on July 24, a faster cadence than Anthropic’s earlier release pattern.
That tiered structure matters for anyone building on the API, not just consumer chat users. Instead of picking one model for an entire application, most production systems now route different request types to different tiers: cheap, high-volume classification or summarization to Sonnet 5, and complex, high-stakes reasoning to Opus 5, with Fable 5 reserved for the rare task where its extra capability justifies its extra cost.
What stands out about Opus 5’s position in that lineup is how close it now sits to Fable 5 on coding-specific evaluations like CursorBench 3.2, while staying at Opus-tier pricing. That narrowing gap is why several outlets covering the launch framed it less as “a new top model” and more as “frontier capability becoming affordable,” a shift in emphasis from the raw capability races of previous years.
What Should You Test Before Migrating Production Workflows to Opus 5?
A higher benchmark score doesn’t guarantee your specific prompts will behave identically on a new model. Before switching a production system over, it’s worth running a short validation pass rather than assuming a drop-in swap works perfectly on day one.
- Re-run your existing evaluation set or golden test cases against the new model before rolling it out to all traffic.
- Check whether prompts tuned for a more cautious, slower-iterating predecessor still produce the same output style, since a model that iterates more carefully may also produce longer intermediate reasoning by default.
- Recalculate your expected cost per request using your real traffic mix of cached versus uncached tokens, rather than assuming the headline per-token price applies uniformly.
- If your workflow includes any cybersecurity-adjacent tasks, specifically test those against the disclosed gap versus Mythos 5 before assuming parity with your previous model.
Rolling out to a small percentage of traffic first, then comparing output quality and cost side by side with your previous model, catches most migration surprises before they reach every user.
How Do You Access Opus 5?
Claude Opus 5 is available immediately to Claude Pro, Max, Team, and Enterprise subscribers through the Claude apps, and to developers through the Claude API. It is now the default model on Claude Max and the strongest model available to Claude Pro subscribers.
- Open Claude on web, desktop, or mobile and select Opus 5 from the model picker if it isn’t already selected by default.
- For API access, set the model parameter to the Opus 5 model identifier in your existing Claude API integration; no separate signup is required if you already have API access.
- If you’re integrating Claude into a content or coding workflow, enable prompt caching where your requests reuse the same context repeatedly, since that alone can cut costs by up to 90%.
- For non-interactive workloads, route requests through the batch API for the additional 50% discount instead of calling the standard endpoint one request at a time.
What Is Opus 5 Best At, and Where Does It Fall Short?
Based on Anthropic’s own published results, this model’s clearest strengths are agentic coding, computer-use tasks, and long-horizon reasoning, where it now leads on Frontier-Bench and GDPval-AA. It also narrows the gap with Anthropic’s larger Fable 5 model to within 0.5% on CursorBench 3.2, at roughly half the cost per task.
Its one disclosed weak spot is cybersecurity-specific tasks, where Anthropic’s own results show it trailing the Mythos 5 model family. If your workflow centers on security research, penetration testing assistance, or vulnerability analysis specifically, that’s worth factoring into your model choice rather than assuming the newest model wins across every category.
For general-purpose coding, writing, and analysis work outside of security-specific tasks, Anthropic’s benchmark disclosures don’t show any comparable gap, which is why the model is positioned as a broad upgrade rather than a narrow, specialized one.
How Should Developers Use Opus 5 for Coding Workflows?
Because this model is built to verify its own work across multiple steps, it fits best in agentic coding setups where it can run tests, read the output, and correct course, rather than a single one-shot prompt. Pair it with your existing test suite and let it iterate against real failures instead of asking it to produce a finished feature in one pass.
Teams migrating an existing agent framework onto the new model generally see the biggest gains by loosening manual checkpoints that were added to catch the previous model’s mistakes. If Opus 5 is verifying its own intermediate steps more reliably, some of that scaffolding becomes redundant overhead rather than a needed safeguard.
If you’re comparing this model against other AI coding assistants before committing your team’s workflow to it, our comparison of AI coding assistants in 2026 walks through how it stacks up against the other major options on real development tasks, not just benchmark scores.
Is Opus 5 Worth Switching to From Sonnet 5?
Sonnet 5 remains Anthropic’s cheaper, faster option for everyday agent tasks that don’t need frontier-level reasoning. Opus 5 is the better choice specifically when a task involves long, multi-step reasoning, complex codebases, or work where getting it right on a careful pass matters more than getting it fast on a cheap one.
For a full breakdown of Sonnet 5’s own pricing and use cases, see our guide to Claude Sonnet’s features and pricing. A practical approach many teams use is routing routine, high-volume requests to Sonnet and reserving the flagship model for the tasks where its accuracy gains actually change the outcome.
For the broader context of how Claude’s model lineup has evolved through 2026, including how this release fits alongside Sonnet 5 and Fable 5, see our roundup of Claude AI’s 2026 advancements.
What Are Common Questions About Claude Opus 5?
Is Claude Opus 5 available to free Claude users?
No. It’s available to Claude Pro, Max, Team, and Enterprise subscribers, and to developers through the paid API. Free-tier users continue to access Anthropic’s lighter-weight models.
How does Opus 5’s pricing compare to Sonnet 5?
Sonnet 5 is priced lower, reflecting its role as the faster, cheaper model for high-volume agentic tasks. Opus 5 keeps the same $5/$25 per-million-token pricing as its Opus 4.8 predecessor despite its higher benchmark scores.
What is Opus 5’s context window?
It supports a 1-million-token context window with a maximum output of 128,000 tokens, large enough to process an entire codebase or lengthy document set in a single request.
Can I use Opus 5 through the API today?
Yes. It has been available through the Claude API since its July 24, 2026 release, alongside its availability in the consumer Claude apps.
Does Opus 5 replace Sonnet 5 for coding tasks?
Not entirely. Many teams keep Sonnet 5 for routine, high-volume coding requests and reserve Opus 5 for complex, multi-step tasks where its stronger reasoning and verification directly improve the outcome.
What is Opus 5’s knowledge cutoff date?
It has a knowledge cutoff of May 2026, the most recent cutoff of any model in the Claude lineup at launch, according to Anthropic’s release details.
Is there a Fast Mode discount for high-volume users?
Fast Mode itself costs more per token, not less, since you’re paying for lower latency. High-volume users get their savings from prompt caching and the batch API instead, which apply to both standard and Fast Mode requests and can cut costs by up to 90% and 50% respectively.
The short version: Claude Opus 5 delivers frontier-level coding and reasoning gains at unchanged Opus pricing, with its biggest wins in agentic coding and long-horizon tasks and its one disclosed weak spot in cybersecurity-specific work. If your workflow involves complex, multi-step reasoning, it’s available today on Claude Pro, Max, Team, Enterprise, and the API. Test it against your own evaluation set before a full migration, and keep Sonnet 5 in the loop for the high-volume tasks where its lower cost still makes more sense than routing everything through the flagship tier.
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