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Claude Sonnet 5.5 benchmarks — leaderboard rank, pricing, and comparisons.

Claude Sonnet 5.5 ranks #6 on the AskClash LLM leaderboard with an overall score of 73.3. It scores 83.2 on Terminal-Bench. Compare Claude Sonnet 5.5 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Rank #6AskClash overall score: 73.3
$2.00 / $10.0Input and output token price, when published. Context: 1M.
Visit websiteVisit the model provider's website.

Claude Sonnet 5.5 benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall73.3
Benchmark cells10
Context1M
CreatorAnthropic

Claude Sonnet 5.5 public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

ACB

75.3 score

HLE

64.5 score

SWE-Pro

81.3 score

Terminal-Bench

83.2 score

DeepSWE

71.0 score

GDPval-AA

1844.2 score

Finance Agent

58.1 score

Claude Sonnet 5.5 vs other AI models

Use these comparison links to evaluate Claude Sonnet 5.5 against nearby LLMs by benchmark score, price, context window, and provider.

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Anthropic unveils new, low-cost Claude Sonnet 5.5 model

“Sonnet 5.5 is a faster, lower-cost complement to Claude Opus 5.5,” Anthropic said on its website. “Where Opus 5.5 is built for complex work requiring careful judgment, Sonnet 5.5 is strongest at well-scoped everyday tasks, fixing bugs, and creating polished d

Claude Sonnet 5.5 by @AnthropicAI is now in the Agent Arena!

Claude Sonnet 5.5 by @AnthropicAI is now in the Agent Arena! Your votes drive the @arena leaderboards, head over and bring your toughest prompts. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community

Last cached leaderboard date: . This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.