Provider
Anthropic
Base model family
Model intelligence profile
This family profile brings together 10 published benchmark records for Anthropic Claude Sonnet 4.6. Every result keeps its original benchmark, configuration, scale, and source; unrelated scores are never averaged.
Provider
Anthropic
Base model family
Release date
2026-02-17
Exact-family source only
Published benchmarks
10
Native scales kept separate
Artificial Analysis
Reference available
As of 2026-07-16
Benchmark-level evidence
These are individual benchmarks, not collection rollups. Scores remain on their original scales, and agent or harness results stay labelled as system configurations.
Spring Prompt benchmark
21.21
Average ROASBench score
A 12-month performance-marketing simulation scored on business outcomes, planning, behavior, and persona fit.
Anthropic: Claude Sonnet 4.6
21.21
source-native benchmark
34*
A composite index of language-model performance across agentic work, coding, scientific reasoning, knowledge, and long-context reasoning.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
34*
source-native benchmark
35.2
Coding Agent Index v1.2 point score
Artificial Analysis Coding Agent Index v1.2 point scores and task-specific operational measurements for exact agent and model configurations.
These are exact agent-plus-model configurations, not bare-model scores.
Claude Code - Sonnet 4.6 (medium)
35.2
source-native benchmark
80%
The most challenging subset of Graduate-Level Google-Proof Q&A, focused on scientific reasoning.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
80%
source-native benchmark
11%
A broad expert-level benchmark of difficult academic reasoning and knowledge questions.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
11%
source-native benchmark
42%
An instruction-following benchmark with diverse, verifiable out-of-domain output constraints.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
42%
source-native benchmark
69%
A multimodal academic reasoning benchmark designed to reduce shortcuts and guessing across many disciplines.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
69%
source-native benchmark
74.4%
OpenHands SWE-Bench resolved
Direct OpenHands SWE-Bench outcomes for resolving real repository issues with a pinned OpenHands agent and language-model configuration.
Scores are official OpenHands SWE-Bench resolved percentages for exact OpenHands and model configurations, not bare-model scores or SpringPrompt predictions. Twenty-nine exact task sidecars support marginal 95% bootstrap score intervals; five rows explicitly have no interval. No full-cohort rank confidence is claimed.
OpenHands v1.11.5 + claude-sonnet-4-6
74.4%
source-native benchmark
85.44%
Direct benchmark score
Directly measured ability to return accurate values in the requested structured schema across the benchmark's evaluated text, image and audio modalities.
Point order reproduces the source's direct Overall score. Rank ranges come from overlap of marginal record-cluster bootstrap intervals for Overall; they are not simultaneous confidence intervals for rank.
Claude-Sonnet-4.6
85.44%
source-native benchmark
79%
A legacy agentic tool-use benchmark for conversational work in a telecom environment.
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
79%
Independent operational reference
Representative configuration: Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort). Lifecycle: deprecated; released 2026-02-17.
Input price
$3.00 / 1M tokens
Output price
$15.00 / 1M tokens
Median output speed
46.9 tok/s
Operational reference only. Price and throughput are not model-quality scores and never affect Spring Prompt comparisons.
Early-user signal
A paraphrased editorial synthesis of 4 Reddit discussions created in the 14 days after launch (17 Feb 2026 to 3 Mar 2026). Anecdotal context only — it never affects scores or rankings.
The search-indexed launch-window sample highlighted Claude Sonnet 4.6's speed, price, task focus, and occasional strong coding output. Recurring complaints involved superficial reasoning, distraction, instruction failures, hallucinations, and a less conversational style. Reports varied enough that early usefulness appeared closely tied to task size and the surrounding product.
Independent early-test signal
An editorial paraphrase of 2 launch-window field tests from 2 independent authors on X, including 2 reports with a described method or inspectable artifact. The window runs from 17 Feb 2026 up to 3 Mar 2026, and exact model identity was editor reviewed.
Early Sonnet 4.6 tests covered conditional routing, scheduling, contract workflows, and repeated Claude Code use. Workflow automation looked capable, but a practical coding comparison found that longer reasoning and more tool calls could slow end-to-end completion despite respectable token speed. The launch evidence supports broad utility with a real throughput tradeoff.
These reports are selectively surfaced and are not a representative sample. They never affect benchmark scores, rankings, winners, or comparison outcomes.
Business Skills V3 · proposed
The setup below is proposed and may change until preflight and execution approval are complete. Existing benchmark evidence above does not authorize or stand in for a Business Skills V3 result.
Future first-party coverage
These links describe evaluation contracts, not published Claude Sonnet 4.6 results.
Model comparisons
Editorially reviewed comparisons appear first. Every page matches only benchmark records with the same reviewed protocol key and does not manufacture an overall winner.
Publication safeguards
Stable family URL
New reviewed benchmark snapshots, operational facts, community themes, and early field-test syntheses can be added here while the canonical model-family identity remains fixed.
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