Claude Opus 5 is Anthropic’s July 24, 2026 flagship — the successor to Opus 4.8 and, on several independent benchmarks, the new overall intelligence leader. The pitch: near-Fable 5 capability at half the price, with thinking on by default, a May 2026 knowledge cutoff, and agentic scores that beat every other model on tasks ranging from novel problem-solving to computer use to business automation.
The headline number is Frontier-Bench v0.1 (a 74-task successor to Terminal-Bench 2.1): Opus 5 scored 43.3% at max effort, more than doubling Opus 4.8’s 18.7% and clearing GPT-5.6 Sol (37.5%) and Fable 5 (33.7%). It is, by Anthropic’s framing, a “thoughtful and proactive” model — one that plans before acting, flags uncertainty, and executes long-horizon tasks with less human nudging.
Benchmarks
Anthropic published an unusually wide benchmark table at launch. Numbers below are vendor-reported (July 24, 2026); treat as a dated snapshot and prefer independent replications.
| Benchmark | What it measures | Opus 5 | Fable 5 | Opus 4.8 | GPT-5.6 Sol |
|---|---|---|---|---|---|
| Frontier-Bench v0.1 | Valuable software engineering | 43.3% | 33.7% | 18.7% | 37.5% |
| SWE-bench Verified | GitHub issue resolution | 96.0% | 95.0% | — | — |
| SWE-bench Pro | Hardest coding | 79.2% | 80.3% | 69.2% | 64.6% |
| SWE-bench Multimodal | Multimodal coding | 59.4% | — | 38.4% | — |
| ARC-AGI-3 | Novel problem-solving | 30.2% | — | 1.5% | 7.8% |
| OSWorld 2.0 | Computer use | 70.6% | lower | 55.7% | — |
| Zapier AutomationBench | Business task automation | 26.0% | 17.4% | 17.0% | — |
| GDPval-AA v2 | Professional knowledge (Elo) | SOTA | — | 1,615 | — |
| IMO 2026 | Math olympiad | 42/42 | — | — | — |
Three results define the gap:
- ARC-AGI-3 is the standout: 30.2% is roughly 4× the next-best model (GPT-5.6 Sol at 7.8%). This is a test of novel, out-of-distribution reasoning — the kind that memorized patterns can’t help with.
- OSWorld 2.0: 70.6% surpasses Fable 5’s best result at roughly a third of the cost per task. Computer-use agents just got meaningfully cheaper.
- SWE-bench Pro remains Fable 5 territory: 79.2% vs 80.3%. For the very hardest, longest-horizon coding tasks, Fable is still the peak — but the gap is now roughly 1 point, not 11.
Pricing
| Tier | Input / 1M | Output / 1M | Notes |
|---|---|---|---|
| Standard | $5.00 | $25.00 | Same as Opus 4.8 |
| Fast Mode | $10.00 | $50.00 | ~2.5× default speed |
| Cache read | $0.50 | — | ~10% of input |
| Batch API | $2.50 | $12.50 | 50% off standard |
Pricing is unchanged from Opus 4.8 — and exactly half of Fable 5 ($10/$50). The cost argument is simple: unless you need Fable’s raw ceiling on the hardest coding or cybersecurity tasks, Opus 5 is a more efficient pick.
Thinking and effort
Thinking is on by default — and unlike Opus 4.8, you cannot disable it above high effort. Attempting to set thinking.enabled = false with effort above high returns a 400 error. This is a breaking change: if your pipeline assumed it could always toggle thinking off, wrap the API call.
The effort dial still runs five levels (low, medium, high, xhigh, max), with high as the default. The interesting data point from Frontier-Bench: xhigh (44.4%) actually outperforms max (43.3%) — suggesting the model occasionally overthinks at maximum effort. Anthropic recommends starting at high and escalating only when the task warrants it.
What’s new vs Opus 4.8
Beyond the benchmark jump, two API-level features ship in beta:
- Mid-conversation tool changes: add or remove tools between turns while preserving the prompt cache, instead of resending a fixed tool list for the entire session. Use the
mid-conversation-tool-changes-2026-07-01beta header. - Server-side model fallback: a new
"default"mode in thefallbacksparameter that applies Anthropic’s recommended fallback models by refusal category, instead of you maintaining a model list. Use theserver-side-fallback-2026-07-01beta header.
Safety
Anthropic reports Opus 5 has the lowest misalignment score (2.30) of any Claude model, with no default data retention. Cyber safeguards relax only for source-code vulnerability finding; exploitation paths stay blocked (same policy as Opus 4.8).
One honest caveat, from Anthropic’s own system card: Opus 5 has slightly higher factual hallucination than Opus 4.8. This is a real trade-off — the model gained creativity and novel-reasoning capability, and the hallucination calibration that made 4.8 famous took a small hit.
Availability
Shipped broadly on July 24, 2026:
| Surface | Status |
|---|---|
| Claude API | claude-opus-5, all customers |
| Claude.ai | Default on Claude Max; available on Pro, Team, Enterprise |
| Claude Code / Cowork | Live at launch |
| AWS Bedrock | anthropic.claude-opus-5 |
| Google Vertex AI | Available |
| Microsoft Foundry | Available |
| Fast Mode | $10/$50 via Platform and Claude Code credits |
How Claude Opus 5 compares
| Claude Opus 5 | Claude Fable 5 | GPT-5.6 Sol | Gemini 3.1 Pro | |
|---|---|---|---|---|
| Price (in / out, per 1M) | $5 / $25 | $10 / $50 | $5 / $30 | ~$2 / $12 |
| Context | 1M | 1M | 1M | 1M |
| Frontier-Bench v0.1 | 43.3% | 33.7% | 37.5% | — |
| SWE-bench Pro | 79.2% | 80.3% | 64.6% | 54.2% |
| ARC-AGI-3 | 30.2% | — | 7.8% | — |
| AA Intelligence Index | 61 | — | 59 | — |
| Input modalities | text, image | text, image | text, image, audio, video | text, image, audio, video |
- vs Fable 5: Opus 5 now leads on Frontier-Bench, ARC-AGI-3 and OSWorld 2.0. Fable keeps a ~1-point edge on SWE-bench Pro and retains the ceiling on cybersecurity/biology. The 2× price gap makes Opus 5 the default choice unless you specifically need Fable’s strengths.
- vs GPT-5.6 Sol: Opus 5 takes the AA Intelligence Index (#1 vs #2) and ARC-AGI-3 by a large margin. Sol takes the output price advantage ($30 vs $25 — but Sol’s $5 input is the same). Both are text+image in, text out.
- vs Opus 4.8: a large step up everywhere — Frontier-Bench more than doubles, ARC-AGI-3 jumps from 1.5% to 30.2%, OSWorld from 55.7% to 70.6%. Same price, same API shape. The main reason to stay on 4.8 is the marginally better hallucination calibration.
The Claude lineup (July 2026)
| Model | API ID | In / Out (per 1M) | Context | Position |
|---|---|---|---|---|
| Fable 5 (Mythos-class) | claude-fable-5 | $10 / $50 | 1M | Capability ceiling |
| Opus 5 | claude-opus-5 | $5 / $25 | 1M | Frontier flagship — best price/performance |
| Sonnet 5 | claude-sonnet-5 | $2 / $10 intro | 1M | Everyday agentic workhorse |
| Haiku 4.5 | claude-haiku-4-5 | $1 / $5 | 200K | Fastest, cheapest |
Opus 5 replaces Opus 4.8 outright — same price, better on every published benchmark except hallucination calibration. The question it answers: you no longer need to route to Fable for frontier-level performance. The question it raises: how long before Opus 5’s thinking-on-by-default token usage makes the per-token pricing feel more expensive per task than it looks.
Best for
- Agentic coding — CursorBench, Frontier-Bench, SWE-bench Verified 96%
- Computer-use automation (OSWorld 2.0 70.6%)
- Business task automation (Zapier AutomationBench 26%, ~1.5× next-best)
- Complex reasoning and novel problem-solving (ARC-AGI-3, IMO gold-medal level)
Pros & cons
Strengths
- SOTA on Frontier-Bench v0.1 (43.3%), more than doubling Opus 4.8 and beating Fable 5 and GPT-5.6 Sol
- ARC-AGI-3 at 30.2% — roughly 4× the next-best model (GPT-5.6 Sol 7.8%)
- OSWorld 2.0 at 70.6% surpasses Fable 5's best result at a third of the cost
- Unchanged $5/$25 pricing — half the cost of Fable 5 for near-Fable capability
Limitations
- Slightly higher factual hallucination than Opus 4.8 (Anthropic's own disclosure)
- SWE-bench Pro (79.2%) still trails Fable 5 (80.3%) on the hardest coding split
- Thinking cannot be disabled above high effort — may inflate token usage
- No audio or video input/output
Frequently asked questions
When was Claude Opus 5 released?
Anthropic released Claude Opus 5 on July 24, 2026, replacing Opus 4.8 as the Opus-tier flagship. It shipped the same day across Claude.ai (as default on Claude Max), Claude Code, Claude Cowork, the Claude API, AWS Bedrock, Google Vertex AI and Microsoft Foundry.
How much does Claude Opus 5 cost?
Standard API pricing is $5 per 1M input tokens and $25 per 1M output tokens — unchanged from Opus 4.8 and half the price of Fable 5 ($10/$50). Fast Mode is $10 / $50 for ~2.5× speed. Cache reads $0.50 / 1M. Batch API is 50% off standard.
Is Claude Opus 5 better than Fable 5?
On several benchmarks, yes — Opus 5 leads Fable 5 on Frontier-Bench (43.3% vs 33.7%), ARC-AGI-3 (30.2% vs not reported), and OSWorld 2.0 (70.6% vs lower at 3× the cost). Fable 5 still edges Opus 5 on the hardest coding split (SWE-bench Pro 80.3% vs 79.2%) and retains the raw intelligence ceiling on cybersecurity and biology tasks. The practical question is whether the gap is worth 2× the token price.
What is the API model ID for Claude Opus 5?
Use `claude-opus-5` on the Claude API and Vertex AI. On AWS Bedrock the ID is `anthropic.claude-opus-5`. It has a 1M-token context window and 128K max output.
Can I disable thinking in Claude Opus 5?
Thinking is on by default. You can disable it at low, medium and high effort settings, but attempting to disable thinking above high effort returns a 400 error. This is a breaking change from Opus 4.8.
What is the knowledge cutoff for Claude Opus 5?
May 2026, per the system card — the most recent cutoff of any Claude model at launch.