Claude Sonnet
Claude Sonnet is a mid-tier product within Anthropic's Claude large language model series, positioned to strike a balance between capability and efficiency. The model supports understanding and generation of text and multimodal content, with strong reasoning, analysis, and conversational abilities suited to enterprise application scenarios. Compared with the flagship Opus series, Sonnet delivers optimized response speed and cost-effectiveness while maintaining high performance.
Core Facts
Claude 3.5 Sonnet supports a context length of 200K tokens, capable of processing approximately 150,000 Chinese characters at once.
The Claude model family is generally divided into three tiers: Haiku, Sonnet, and Opus.
The Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
Timeline (last 90 days)
The experiment selected four frontier coding agents—Claude Opus, Claude Sonnet, Codex, and Gemini CLI—each allocated eight H200 GPUs and 12 hours of runtime.
All four agents achieved positive average relative improvements across the 25 tasks: Claude Opus 10.4%, Claude Sonnet 9.6%, Gemini 6.8%, and Codex 4.4%; the existing best results on all benchmarks were surpassed, and no academic misconduct was found in the audit stage.
The free version generally only provides access to lighter models (such as a certain version of Sonnet), while the Pro version unlocks higher-tier models as well as first access to new models.
Haiku corresponds to speed priority, Sonnet to balance, and Opus to the strongest reasoning capability.
The creator said Claude Sonnet had given him better results on similar projects.
Under the same subscription, using large models such as Opus consumes faster than using Sonnet or Haiku.
The performance degradation caused by lost formatting cues is reproducible across six answer models, covering five models across the Claude Opus, Sonnet, and Haiku tiers plus OpenAI's GPT-5.6.
In the accuracy test, the same Sonnet model using Claude search got five questions wrong, but when switched to DeepSeek search it got all of them right.
In the honesty test, the number of confident wrong answers was: Opus one, Sonnet four, DeepSeek Flash eighteen, and DeepSeek Pro twenty-six.
After Sonnet switched to DeepSeek search, the per-question cost actually increased by more than 20%, because the material returned by DeepSeek contains more characters, which raises the cost billed by input character count.
40 more timeline events
All Facts (20)
Claude 3.5 Sonnet supports a context length of 200K tokens, capable of processing approximately 150,000 Chinese characters at once.
80%VerifiedThe Claude model family is generally divided into three tiers: Haiku, Sonnet, and Opus.
75%VerifiedThe Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
75%VerifiedThe API pricing for Opus-tier models is typically 3–5 times that of the mid-tier Sonnet.
70%VerifiedThe Claude 3 series uses Haiku, Sonnet, and Opus to name different capability tiers
65%VerifiedClaude 3.5 Sonnet has approached or even surpassed the performance of the early Claude 3 Opus in most benchmark tests.
65%VerifiedWithin Anthropic's product line, the Opus series focuses on the strongest reasoning capability, the Haiku series focuses on being lightweight and fast, and the Sonnet series strikes a balance between the two.
65%UnverifiedClaude Code通过npm安装，基于Claude Sonnet/Opus模型运行
90%UnverifiedKarpathy描述Vibe Coding的具体场景是使用Cursor编辑器搭配Claude Sonnet模型进行开发
85%UnverifiedWithin the Claude series, Opus-tier models excel at complex architectural reasoning and handling ambiguous requirements but have a higher unit price, while Sonnet-tier models are suited for everyday tasks and workflow execution and offer the best cost-effectiveness.
60%Unverified采用分层模型使用策略（高频任务用轻量模型、关键任务用高级模型）可以将额度使用效率提升3-5倍
60%UnverifiedAnthropic's model product line forms a three-tier structure of Haiku → Sonnet → Opus
60%UnverifiedAll four agents achieved positive average relative improvements across the 25 tasks: Claude Opus 10.4%, Claude Sonnet 9.6%, Gemini 6.8%, and Codex 4.4%; the existing best results on all benchmarks were surpassed, and no academic misconduct was found in the audit stage.
50%UnverifiedThe experiment selected four frontier coding agents—Claude Opus, Claude Sonnet, Codex, and Gemini CLI—each allocated eight H200 GPUs and 12 hours of runtime.
50%UnverifiedThe free version generally only provides access to lighter models (such as a certain version of Sonnet), while the Pro version unlocks higher-tier models as well as first access to new models.
50%UnverifiedHaiku corresponds to speed priority, Sonnet to balance, and Opus to the strongest reasoning capability.
50%UnverifiedThe creator said Claude Sonnet had given him better results on similar projects.
50%UnverifiedUnder the same subscription, using large models such as Opus consumes faster than using Sonnet or Haiku.
50%UnverifiedThe performance degradation caused by lost formatting cues is reproducible across six answer models, covering five models across the Claude Opus, Sonnet, and Haiku tiers plus OpenAI's GPT-5.6.
50%UnverifiedIn the accuracy test, the same Sonnet model using Claude search got five questions wrong, but when switched to DeepSeek search it got all of them right.
50%