Claude Opus 5.5
Monthly API Cost Calculator
Claude Opus 5.5 rates: $4/1M input • $20/1M output. Pick a workload preset or enter your own token volumes.
Estimates use listed API rates at time of writing; providers may differ in caching discounts, rate limits, and batching pricing.
Capability Radar & Benchmark Scores
Multi-Axis Capability Radar
Comparing Claude Opus 5.5 against Frontier Top 10 & Open-Source average
Where Claude Opus 5.5 Leads
All Verified Benchmark Evaluations
Direct Pass@1 and resolution rates across standardized evaluations.
Run Benchmarks on Dedicated AI Clusters
Zero-cold-start inference endpoints with dedicated GPU instances.
Executive Analysis & Verdict
Claude Opus 5.5 by Anthropic is a premier frontier intelligence model scoring 68.6 overall (Rank #2), registering 58 on the Artificial Analysis Intelligence Index v5.0 and #1 Global Computer Use on OSWorld-2.1 (87.2%).
Key Strengths & Highlights
- •#1 Global Computer Use on OSWorld-2.1 Offline Subset (87.2%)
- •Near-top Artificial Analysis Intelligence Index v5.0 (58) and Vals Index v2.2 (70.2%)
- •High-accuracy code synthesis with 62.3% on FrontierSWE 2 and 2750 Code Arena Elo
- •1M native context window with 97.9 tps throughput and 95% prompt cache discount
Limitations & Considerations
- •Compute-heavy deliberate reasoning results in lower throughput (42 tps) compared to lighter Sonnet tiers
Architectural Overview & Capability Profile
Claude Opus 5.5 is developed by Anthropic as an advanced foundation model engineered for production enterprise applications, reasoning workflows, and autonomous problem-solving. On the comprehensive RankLLMs composite evaluation index, Claude Opus 5.5 registers an overall benchmark rating of 66.8 / 100.
Operating under a Proprietary license structure, Claude Opus 5.5 is served via high-throughput managed API endpoints designed for low-latency production queries.
Benchmark Performance & Real-World Utility
In standardized laboratory and real-world evaluation suites, Claude Opus 5.5 demonstrates calibrated proficiency across key performance vectors:
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SWE-bench Verified Software Engineering (86.2%): Measures multi-file GitHub issue resolution. The model demonstrates practical capability in localizing source code bugs, synthesizing functional patches, and passing rigorous integration test matrices. For evaluation methodology, consult our SWE-bench Pro guide.
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GPQA Diamond Scientific Reasoning (88.5%): Assesses graduate-level domain problem solving across physics, chemistry, and biology, minimizing hallucinations in multi-step deductive arguments. See our Humanity’s Last Exam benchmark analysis.
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MATH-500 Competition Mathematics (89.2%): Evaluates formal mathematical problem solving and symbolic derivation, providing foundational logic for algorithmic computing.
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Terminal-Bench Execution (86.2%): Reflects proficiency in interactive command-line environments, shell tool use, and automated DevOps scripting.
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Code Arena Preference Rating (2750 Elo): Validates human developer satisfaction in blind side-by-side coding evaluations against contemporary alternatives.
Inference Latency & Cost Architecture
- Token Context Window: 1.0M tokens, allowing large documents, multi-file codebases, and long conversation memories to be processed in a single context window.
- Inference Speed: Reference throughput clocks at approximately 42 tokens/second, enabling responsive streaming in developer tools and interactive interfaces.
- Commercial Pricing: API consumption is billed at $5.00 per 1M input tokens and $25.00 per 1M output tokens, offering predictable scaling for high-volume enterprise traffic.
Strengths, Limitations & Ideal Workflows
Primary Strengths
- #1 Global Intelligence on Artificial Analysis Intelligence Index (57.6) and AA-Briefcase Elo (1822)
- Unmatched agentic software engineering with 86.2% on SWE-bench and 86.2% on Terminal-Bench
- Massive 1M token context window with high-reliability reasoning and multi-turn instruction adherence
Known Considerations
- Compute-heavy deliberate reasoning results in lower throughput (42 tps) compared to lighter Sonnet tiers
Recommended Use Cases
The most demanding enterprise coding agents, advanced mathematical proofs, architectural refactoring, and multi-hour autonomous agent tasks.
Related Comparisons & Leaderboard Context
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Frequently Asked Questions About Claude Opus 5.5
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