Claude Fable 5
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.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Highest-ceiling coding, agentic workflows, and deep research
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Compare every model's knowledge cutoff, max output, and context window.
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 64.3%, 1M context, $5/$25 per 1M tokens.
64.3% on SWE-Bench Pro, ahead of GPT-5.5 and GPT-5.4 in current public comparisons
1M context window for large codebases and document-heavy workflows
Strong vision and agentic consistency improvements over Opus 4.6
Premium pricing is expensive for high-volume workloads
GPT-5.5 has stronger OpenAI ecosystem fit and faster Codex availability for some teams
What people actually use Claude Opus 4.7 for.
Delegating difficult multi-file engineering work that needs careful verification
Running premium coding agents and autonomous PR review workflows
Reading large codebases, research corpora, or design references with 1M context
The nearest models people weigh against it, and what actually separates them.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Claude Opus 4.7 runs about 50% cheaper per token. Take Claude Opus 4.7 unless you specifically need what Claude Fable 5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Claude Opus 4.7 runs about 50% cheaper per token. Take Claude Opus 4.7 unless you specifically need what Claude Fable 5.1 does better.
vs Claude Opus 4.8 — Against Claude Opus 4.8 (Anthropic), Claude Opus 4.7 lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.
Price History
→0% since May 28
90 data points · tracked daily since May 28, 2026
Highest-ceiling coding, agentic workflows, and deep research. 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 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.
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.
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.
Pricing moves, ranking shifts, and capability updates.
Claude Opus 4.7 now leads premium coding recommendations because it has the strongest current public SWE-Bench Pro score among generally available models.
View modelClaude Opus 4.7 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.
Claude Opus 4.7 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.
Claude Opus 4.7's training data runs through January 31, 2026, and the model was released on April 16, 2026. For anything after that date it needs web search or documents in the prompt.
Claude Opus 4.7 is best for highest-ceiling coding, agentic workflows, and deep research. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Claude Opus 4.7'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 4.7's pricing is the thing stopping you.
Claude Fable 5 — deliberate against Claude Opus 4.7'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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