What Claude is now
Claude in August 2026 is no longer well described as one chatbot backed by one Anthropic model. It is a general AI work environment spanning ordinary chat, web research, files, connected services, Claude Code, Cowork and increasingly agentic execution. The model that actually handles a task depends on plan, model selection, capability class and—in some sensitive cases—safety routing.
That distinction matters because the current Claude family has several materially different layers. Sonnet 5 is the mainstream model and the default on Free and Pro. Opus 5, released on July 24, is the new default on Max and the strongest standard model available on Pro; Anthropic positions it for everyday professional work, coding and long-running agents. Fable 5.1 is now the generally available premium tier above Opus for the most demanding work, with substantially cheaper cache reads than Fable 5 but still distinct economics, safeguards and retention treatment. Mythos 5.1 remains restricted to trusted-access programs rather than ordinary consumer use.123
The current model stack: Sonnet, Opus, Fable and Mythos are not interchangeable
Sonnet 5: the mainstream default
Anthropic launched Sonnet 5 on June 30 as its most agentic Sonnet model to date. It can plan, use browsers and terminals, work with tools and run more autonomously than earlier Sonnet models. It is available across all plans and is the default model on Free and Pro.1
The pricing deserves special attention because it changed after launch. Several July articles and the original Sonnet announcement described introductory API pricing of $2 per million input tokens and $10 per million output tokens, with a planned move to $3/$15 in September. Anthropic edited the launch post on August 10 and made the $2/$10 pricing permanent. Any current review that still treats $3/$15 as the September price is now stale.1
Sonnet 5 also uses an updated tokenizer. Anthropic says the same content can map to roughly 1.0–1.35 times as many tokens depending on content type. Simon Willison's own checks found approximately 1.42x tokens for English text, 1.33x for Spanish and 1.27x for Python relative to the previous Sonnet generation.4 This means nominal per-token price is not the whole cost story, although the August decision to keep the lower $2/$10 rate offsets some of that effect.
LiveBench's current row shows why Sonnet remains attractive: 76.0 overall, 88.7 reasoning, 92.9 mathematics and 80.7 coding, but 59.4 agentic coding and 63.9 instruction following.5 The practical interpretation is that Sonnet 5 is a strong general workhorse with frontier-level strengths, not a universal top score in every subtask.
Opus 5: the everyday high-end model
Opus 5 arrived on July 24 and materially changed the paid-plan picture. Anthropic calls it close to Fable-level intelligence at half Fable's API price, sets it as the new default on Max and describes it as the strongest model on Pro.2 API pricing is $5 per million input tokens and $25 per million output tokens; Fast mode runs at roughly 2.5 times standard speed at twice the base price on supported usage-credit surfaces.2
Independent evidence supports the claim that it belongs in the very top group. Artificial Analysis gives Opus 5 max an Intelligence Index of 63 and reports leading results on GDPval-AA v2 and AA-Briefcase.6 ARC Prize's July result gives it the then-highest ARC-AGI-3 score in the published table.7 Epoch also shows strong proof and professional-agent results.8
There is an important reliability caveat. Artificial Analysis' Omniscience evaluation reports a 50% hallucination rate, higher than Opus 4.8, even as other capability metrics improve.6 That is a useful warning against translating “strongest model” into “safe to trust without verification.”
Fable 5.1: premium capability with materially better cache economics
Fable 5.1 replaces Fable 5 as Anthropic's generally available premium model for long-running agents, coding, enterprise workflows and vision. It remains priced at $10 per million ordinary input tokens and $50 per million output tokens, but cache reads fall to $0.25 per million tokens—75% below Fable 5. Anthropic estimates that this makes typical workloads about 25% cheaper and highly agentic workloads up to about 45% cheaper; those percentages are vendor estimates, while the underlying cache-price change is directly documented and independently reported.3910
Availability is broader and clearer than the original Fable rollout: Fable 5.1 is offered to Pro, Max, Team and Enterprise users and through the Claude Platform plus major cloud marketplaces. It is still not equivalent to an unlimited subscription entitlement, because high-end use remains constrained by plan capacity, usage credits and API economics.3
The safety regime also changed. Anthropic describes Fable 5.1 as using more precise safeguards intended to reduce unnecessary refusals, while certain cybersecurity and biology tasks can still be routed to less capable models; rerouted requests are not charged at Fable rates. Independent launch coverage confirms the less-restrictive tuning while keeping the vendor provenance of capability claims explicit.31110
Retention remains a material model-surface issue. Fable 5.1 uses 30-day default safety retention on covered-model surfaces. Anthropic says eligible enterprise customers can use zero-data-retention arrangements until Enterprise Frontier Safeguards are available, after which EFS is designed to keep covered-model data in the customer's cloud with customer-controlled human review. This is a meaningful enterprise privacy path, but it should not be confused with the default consumer or standard API posture.3
Mythos 5.1: do not review it as a normal consumer feature
Mythos 5.1 remains a trusted-access surface rather than a normal consumer feature. Anthropic limits it to programs such as Project Glasswing; evidence from that surface should not be attributed to ordinary Claude Pro or Free usage.3
IEEE Spectrum's report on Mythos Preview is valuable precisely because it illustrates both sides of this advanced capability: experts describe unusually strong vulnerability discovery and cross-component reasoning, while also warning about false positives, prompt injection and the need for human verification.12
Coding and agentic work
Claude's reputation in coding is not supported only by vendor marketing. Epoch's APEX-Agents and ProofBench results, LiveBench coding results and Artificial Analysis' current Opus 5 evaluation all provide current-generation quantitative evidence.856
VentureBeat also reports launch-partner workflow results that are directionally useful but should be treated with attribution: Harvey reported comparable legal-agent quality to Opus 4.8 max with 26% fewer tokens; a financial-research partner reported a 9-point accuracy increase with fewer turns/tool calls and 60% less time; Zapier reported a 100% pass result on a churn-prevention workflow that prior Claude models failed.13 These are not independent population benchmarks, but they show why organizations are adopting the model for long-running, structured tasks.
PCWorld adds a valuable negative counterexample from actual use. Its writer describes Opus 5 as aggressively flagging minor coding issues as major flaws, generating long fix queues and consuming a substantial portion of a $20 Pro weekly allowance.14 That complaint matters because it connects model behavior directly to subscription economics: an assistant can be technically diligent and still create poor value if it burns scarce usage on low-value detail.
Research, documents and knowledge work
Tom's Guide's July 31 account of extended Opus 5 use favored Claude for several writing and analysis prompts because the responses felt more thoughtful, structured and less stereotypically “AI-like,” often requiring fewer follow-ups.15 It is one editorial perspective, not a controlled benchmark, but it aligns with the professional-review themes around writing, reasoning and decision-oriented work.
Bloomberg's May reporting also shows Anthropic deliberately broadening Claude beyond its original enterprise/coding identity toward everyday consumer questions such as travel, health and recipes.16 That expansion matters because the product is increasingly trying to compete as a general assistant while keeping its strongest differentiation in deeper work.
The external user evidence supports the “work assistant” identity. TrustRadius' current 9.3/10 score comes from 332 reviews and ratings, with 2026 examples spanning coding, research, knowledge-base use and business workflows.17 Gartner Peer Insights' 4.6/5 from 83 ratings is a smaller but enterprise-oriented sample.18 SoftwareReviews' Agentic AI Platforms page gives Claude 8.6/10 composite and 8.9/10 customer experience from 50 reviews, with 89 likelihood-to-recommend and 100 stated plan-to-renew.19
What mass-market users appear to think
The mobile-store populations are much larger. Google Play currently shows 4.5/5 from roughly 624,000 reviews and at least 50 million downloads.20 The Italian App Store shows 4.6/5 from roughly 12,000 ratings.21 These are strong product-surface signals, but they measure the mobile application and overall service experience, not controlled model intelligence.
Google Play's recent visible reviews illustrate the same two-sided pattern as the broader evidence base: users praise usefulness, memory and professional value, while others complain that paid usage can still run out at inconvenient times or that limits are not sufficiently transparent.20
YouGov adds a different construct: brand satisfaction. Its UK August ranking places Claude first among the major AI assistants in the reported table, with 56.2 net Satisfaction among current and former users and 74.5 among current users. U.S. BrandIndex data gives Claude 62.5 Satisfaction, while its Quality, Value and Recommend scores are lower than the corresponding ChatGPT/Gemini figures in that snapshot.22 That is perception evidence, not a benchmark.