Claude Opus 4.7
Anthropic's latest generally available Opus model, tuned for frontier coding, AI agents, long-context reasoning, and high-fidelity vision.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
80.3% SWE-Bench Pro — the new #1, up from Opus 4.8's 69.2% and GPT-5.5's 58.6%
1932 on GDPval-AA, ahead of Opus 4.8 (1890) and GPT-5.5 (1769)
1M-token context at standard pricing, 128K max output per request
Mythos-class capability released for general use with new cyber-risk safeguards
Priced at $10/$50 per 1M tokens — double Opus 4.8 ($5/$25)
What people actually use Claude Fable 5 for.
Autonomous agents that plan, write, run, and debug across an entire codebase with minimal supervision
Whole-repo refactors and PR review where accuracy outranks latency or cost
Frontier reasoning over 1M-token corpora — security audits, legal discovery, scientific synthesis
See what Claude Fable 5 actually costs at your usage level
Based on Claude Fable 5 API pricing: $10/1M input · $50/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
Anthropic's latest generally available Opus model, tuned for frontier coding, AI agents, long-context reasoning, and high-fidelity vision.
Pricing moves, ranking shifts, and capability updates.
Claude Fable 5 now leads all premium coding and research recommendations, replacing Opus 4.8 at the top. At 80.3% SWE-Bench Pro it is the clear benchmark leader. Opus 4.8 remains the best-value premium pick at half the price, and Sonnet 4.6 stays the everyday default.
View modelClaude Fable 5 is best for the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
Anthropic: Claude 3.5 Sonnet is the better pick when response time matters more than maximum depth or premium quality.
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The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
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.
Deliberate pace; not for latency-sensitive interactive apps
Standard-use safeguards block some high-risk security workloads (use Mythos 5 with partner access)
Anthropic's newest Opus flagship — 69.2% SWE-Bench Pro, 88.6% SWE-Bench Verified, 1890 Arena Elo (121 pts ahead of GPT-5.5), and native parallel subagents. Same $5/$25 price as Opus 4.7.
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Anthropic released Claude Fable 5 and Claude Mythos 5 on June 9, 2026, two months after Mythos rocked Wall Street in private preview. Fable 5 — the generally available, Mythos-class model — scores 80.3% on SWE-Bench Pro, an 11-point leap over Opus 4.8's 69.2% and the largest single-release jump of 2026. It posts 1932 on GDPval-AA, has a 1M-token context, and is free for everyone until June 22. Mythos 5 is the same model with safeguards lifted, restricted to vetted partners. Pricing is $10/$50 per 1M tokens.
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