{"slug": "claude-sonnet-5-benchmark-results", "title": "Claude Sonnet 5 – benchmark results", "summary": "Anthropic released Claude Sonnet 5 (Adaptive Reasoning, Max Effort) on June 30, 2026, scoring 53 on the Artificial Analysis Intelligence Index, well above the average of 8 among comparable models. The model supports text and image input, outputs text, has a 1m token context window, and is competitively priced at $0.00 per 1M input and output tokens.", "body_md": "# Claude Sonnet 5 (Adaptive Reasoning, Max Effort) Intelligence, Performance & Price Analysis\n\n[API Provider Benchmarks](/models/claude-sonnet-5/providers)\n\n### Model summary\n\n#### IntelligenceUpdated\n\n#### Speed\n\n#### Input Price\n\n#### Output Price\n\n#### Verbosity\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text and image input, outputs text, and has a 1m tokens context window.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 300M tokens, which is very verbose in comparison to the average of 37M.\n\nPricing for Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is $0.00 per 1M input tokens (competitively priced, average: $0.00) and $0.00 per 1M output tokens (competitively priced, average: $0.00).\n\n| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |\n|---|---|\n| Input modality | Supports: text, image |\n| Output modality | Supports: text |\n| Context window | 1m ~1500 A4 pages of size 12 Arial font |\n\nMetrics are compared against models of the same class:\n\n- Non-reasoning models → compared only with other non-reasoning models\n- Reasoning models → compared across both reasoning and non-reasoning\n- Open weights models → compared only with other open weights models of the same size class:\n- Tiny: ≤4B parameters\n- Small: 4B–40B parameters\n- Medium: 40B–150B parameters\n- Large: >150B parameters\n- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:\n- <$0.15 per 1M tokens\n- $0.15–$1 per 1M tokens\n- >$1 per 1M tokens\n\nHighlights\n\n## IntelligenceUpdated\n\n### Artificial Analysis Intelligence Index\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Evaluations\n\n[GDPval-AA v2](/evaluations/gdpval-aa)Updated\n\nAgentic real-world work tasks, (Elo-500)/2000\n\n[𝜏³-Banking](/evaluations/tau3-banking)New\n\nAgentic tool use\n\nAgentic coding & terminal use\n\nCoding\n\nReasoning & knowledge\n\nScientific reasoning\n\nPhysics reasoning\n\nKnowledge\n\n1 - hallucination rate\n\nLong context reasoning\n\n[AA-Briefcase](/evaluations/aa-briefcase)New\n\nAgentic knowledge work, (Elo-500)/2000\n\nInstruction following\n\nLong-horizon agentic tasks\n\nKubernetes incident root-cause analysis\n\nVisual reasoning\n\n## AA-BriefcaseNew\n\n### AA-Briefcase Elo\n\n## Openness\n\n### Artificial Analysis Openness Index: Score\n\n## Intelligence Index Comparisons\n\n### Intelligence vs. Cost per Intelligence Index Task\n\n## Token UseUpdated\n\n### Output Tokens per Intelligence Index Task\n\n## Price and CostUpdated\n\n### Cost per Intelligence Index Task\n\n### Cost to Run Artificial Analysis Intelligence Index\n\n### Pricing: Cache Hit, Input, and Output\n\n## Context Window\n\n### Context Window\n\n## SpeedUpdated\n\nMeasured by Output Speed (tokens per second)\n\n### Output Speed\n\n### Time per Intelligence Index Task\n\n## Latency\n\nMeasured by Time (seconds) to First Token\n\n### Latency: Time To First Answer Token\n\n## End-to-End Response Time\n\nSeconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed\n\n### End-to-End Response Time\n\n## Model Size (Open Weights Models Only)\n\n### Model Size: Total and Active Parameters\n\n## Frequently Asked Questions\n\nCommon questions about Claude Sonnet 5 (Adaptive Reasoning, Max Effort)\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) was released on June 30, 2026.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) was created by Anthropic.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 8).\n\nWhen evaluated on the Intelligence Index, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) generated 300M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 37M).\n\nYes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) supports text and image input.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) supports text output.\n\nYes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) supports image input and can analyze, describe, and answer questions about images.\n\nYes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is multimodal. It can process text and image input and generate text output.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.\n\nNo, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is proprietary. The model weights are not publicly available.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) is a proprietary model and Anthropic has not disclosed the model size or parameter count.\n\nClaude Sonnet 5 (Adaptive Reasoning, Max Effort) achieves a score of 53 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.\n\nCheck the providers page for current API availability. [View providers](/models/claude-sonnet-5/providers)\n\nVisit the providers page to see availability. [Compare providers](/models/claude-sonnet-5/providers)", "url": "https://wpnews.pro/news/claude-sonnet-5-benchmark-results", "canonical_source": "https://artificialanalysis.ai/models/claude-sonnet-5", "published_at": "2026-06-30 20:09:25+00:00", "updated_at": "2026-06-30 20:19:59.970868+00:00", "lang": "en", "topics": ["large-language-models", "artificial-intelligence", "ai-products", "ai-research"], "entities": ["Anthropic", "Claude Sonnet 5"], "alternates": {"html": "https://wpnews.pro/news/claude-sonnet-5-benchmark-results", "markdown": "https://wpnews.pro/news/claude-sonnet-5-benchmark-results.md", "text": "https://wpnews.pro/news/claude-sonnet-5-benchmark-results.txt", "jsonld": "https://wpnews.pro/news/claude-sonnet-5-benchmark-results.jsonld"}}