Large Language Models

Claude Opus 5

Anthropic's July 2026 flagship — near-Fable intelligence at Opus pricing ($5/$25), SOTA on Frontier-Bench, ARC-AGI-3 and OSWorld 2.0, with thinking on by default.

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.

BenchmarkWhat it measuresOpus 5Fable 5Opus 4.8GPT-5.6 Sol
Frontier-Bench v0.1Valuable software engineering43.3%33.7%18.7%37.5%
SWE-bench VerifiedGitHub issue resolution96.0%95.0%
SWE-bench ProHardest coding79.2%80.3%69.2%64.6%
SWE-bench MultimodalMultimodal coding59.4%38.4%
ARC-AGI-3Novel problem-solving30.2%1.5%7.8%
OSWorld 2.0Computer use70.6%lower55.7%
Zapier AutomationBenchBusiness task automation26.0%17.4%17.0%
GDPval-AA v2Professional knowledge (Elo)SOTA1,615
IMO 2026Math olympiad42/42
Frontier-Bench v0.1 — mean reward (%)
Claude Opus 543.3%GPT-5.6 Sol37.5%Claude Fable 533.7%Claude Opus 4.818.7%
AnthropicOpenAI
Opus 5 more than doubles Opus 4.8 and clears both GPT-5.6 Sol and Fable 5 on the successor to Terminal-Bench.
Source: Anthropic (July 24, 2026) and vendor-reported figures compiled by Heyaiwiki.

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

TierInput / 1MOutput / 1MNotes
Standard$5.00$25.00Same 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$12.5050% 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-2026-07-01 beta header.
  • Server-side model fallback: a new "default" mode in the fallbacks parameter that applies Anthropic’s recommended fallback models by refusal category, instead of you maintaining a model list. Use the server-side-fallback-2026-07-01 beta 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:

SurfaceStatus
Claude APIclaude-opus-5, all customers
Claude.aiDefault on Claude Max; available on Pro, Team, Enterprise
Claude Code / CoworkLive at launch
AWS Bedrockanthropic.claude-opus-5
Google Vertex AIAvailable
Microsoft FoundryAvailable
Fast Mode$10/$50 via Platform and Claude Code credits

How Claude Opus 5 compares

Claude Opus 5Claude Fable 5GPT-5.6 SolGemini 3.1 Pro
Price (in / out, per 1M)$5 / $25$10 / $50$5 / $30~$2 / $12
Context1M1M1M1M
Frontier-Bench v0.143.3%33.7%37.5%
SWE-bench Pro79.2%80.3%64.6%54.2%
ARC-AGI-330.2%7.8%
AA Intelligence Index6159
Input modalitiestext, imagetext, imagetext, image, audio, videotext, 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)

ModelAPI IDIn / Out (per 1M)ContextPosition
Fable 5 (Mythos-class)claude-fable-5$10 / $501MCapability ceiling
Opus 5claude-opus-5$5 / $251MFrontier flagship — best price/performance
Sonnet 5claude-sonnet-5$2 / $10 intro1MEveryday agentic workhorse
Haiku 4.5claude-haiku-4-5$1 / $5200KFastest, 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.

Sources

Last updated: 2026-07-29 · Specs and pricing change fast — verify on the vendor's site before relying on them.