Launched May 27, 2026. Available on Claude API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, and GitHub Copilot. Fast mode available at $10/$50 per 1M tokens.
69.2% SWE-Bench Pro — new #1, up from Opus 4.7's 64.3%
88.6% SWE-Bench Verified and 83.4% OSWorld computer use
Native parallel subagents: orchestrated multi-agent execution in a single call
1890 Arena Elo, 121 points ahead of GPT-5.5
Weaknesses
Deliberate pace — not the right pick for latency-sensitive applications
Same price tier as Opus 4.7; not a budget option
Real-world use cases
What people actually use Claude Opus 4.8 for.
Running parallel subagent workflows that split, solve, and merge complex engineering tasks
Autonomous PR review and multi-file refactors where accuracy matters more than speed
Deep research synthesis across 1M-token corpora — patents, codebases, legal documents
How Claude Opus 4.8 compares
The nearest models people weigh against it, and what actually separates them.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Claude Opus 4.8 runs about 50% cheaper per token. Take Claude Opus 4.8 unless you specifically need what Claude Fable 5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Claude Opus 4.8 runs about 50% cheaper per token. Take Claude Opus 4.8 unless you specifically need what Claude Fable 5.1 does better.
vs Claude Opus 4.7 — Against Claude Opus 4.7 (Anthropic), Claude Opus 4.8 lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.
Price History
Claude Opus 4.8 pricing over time
→0% since May 29
52 data points · tracked daily since May 29, 2026
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Start using Claude Opus 4.8
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision. Start free — no card required.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Pricing moves, ranking shifts, and capability updates.
New ModelMay 27, 2026
Claude Opus 4.8 added — new #1 coding model
Anthropic launched Claude Opus 4.8 on May 27, 2026. It scores 69.2% on SWE-Bench Pro (up from 64.3% on Opus 4.7), 88.6% on SWE-Bench Verified, and 1890 Arena Elo — 121 points ahead of GPT-5.5. Pricing is unchanged at $5/$25 per 1M tokens. Key new feature: native parallel subagents.
Claude Opus 4.8 now leads all premium coding recommendations, replacing Opus 4.7. At 69.2% SWE-Bench Pro vs 64.3%, it is the clear benchmark leader. Opus 4.7 is retained for legacy comparisons and pinned integrations.
Claude Opus 4.8 costs $5 per million input tokens and $25 per million output tokens on the API, with cached input at $0.5 per million. A month of 10M input and 2M output tokens runs about $100.00 at list price, before any batch or caching discounts.
What is the context window of Claude Opus 4.8?
Claude Opus 4.8 has a 1M tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of Claude Opus 4.8?
Claude Opus 4.8's training data runs through January 2026, and the model was released on May 28, 2026. For anything after that date it needs web search or documents in the prompt.
What is Claude Opus 4.8 best for?
Claude Opus 4.8 is best for hardest coding tasks, parallel agentic workflows, and high-fidelity vision. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
When should I avoid Claude Opus 4.8?
You need low-latency responses, image generation, or a workflow locked to OpenAI tooling.
What is a cheaper alternative to Claude Opus 4.8?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Claude Opus 4.8's $5.00/1M/1M — roughly 63% less per token all in. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Claude Opus 4.8's pricing is the thing stopping you.
What is a faster alternative to Claude Opus 4.8?
Claude Fable 5 — deliberate against Claude Opus 4.8's deliberate, with 1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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