Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (Claude 3 Haiku, 13 Mar 2024): 200K-token context; list price $0.25 in / $1.25 out per 1M tokens = $0.50 blended at 3:1; text and image input. Speed null: Anthropic published only input throughput (21K tokens, about 30 pages, per second for prompts under 32K), not output tokens/s. Reasoning null (no launch-version AA index; Anthropic's family charts have no anchor). Coding null. Reviews: Zvi, Willison (family pricing post, written before Haiku shipped), Keywords AI (vendor test of ~100 prompts vs GPT-4 Turbo, 25 Mar 2024), Vellum (vendor comparison vs GPT-3.5 Turbo / GPT-4o mini, 19 Jul 2024). The Keywords AI and Vellum pieces are vendor blogs but report genuine tests.[1]
Claude Haiku is cheap, but it is tiny, and releasing cheap tiny models below the capabilities curve is fine.
Haiku's average generation time is 78% faster than GPT-4-preview-0125 (2.283s vs 10.475s)
GPT-4o Mini performs worse than GPT-3.5 Turbo and Claude 3 Haiku, sometimes missing the mark entirely.
Sonnet is cheaper than all of the GPT-4 models (including GPT-4 Turbo), and Haiku (which has not yet been released to the Claude API) will be cheaper even than GPT-3.5 Turbo.
| The new Claude 3 model family from Anthropic · 2024年3月4日 | 0.50 |
|---|---|
| On Claude 3.0 · 2024年3月6日 | 0.20 |
| Test Results: Claude Haiku can substitute GPT-4 in 95% of AI tasks at 4% Cost · 2024年3月25日 | 0.60 |
| GPT-4o Mini v/s Claude 3 Haiku v/s GPT-3.5 Turbo: A Comparison · 2024年7月19日 | 0.00 |
读者上传的照片,与图钉带来源的媒体分开显示。你可以为吃到或看到的内容评分,在餐厅图钉上还能直接在照片上标记菜品。
第一项始终是图钉的来源。总体可信度是各份资料对上方所用开始和结束时间支持程度的加权平均;资料每比最新的一份旧 180 天,权重减半。
Anthropic[5] 的发布文章标注日期为“2024 年 3 月 13 日”:“今天我们发布 Claude[2] 3 Haiku……该模型现已与 Sonnet 和 Opus 一同在 Claude API 及面向我们 Claude Pro 订阅用户的 claude.ai 上可用”;AWS 同日宣布其在 Amazon[4] Bedrock 上可用。
Anthropic[1][5] notified developers on 19 February 2026 that Claude Haiku 3 (claude-3-haiku-20240307) would be retired; it was retired on 20 April 2026, with claude-haiku-4-5-20251001 as the replacement.
SiliconANGLE's report: Haiku processes up to 21,000 tokens (about 30 pages) per second for prompts under 32,000 tokens, uses a 1:5 input-to-output pricing ratio, and joins Sonnet on Amazon[4] Bedrock, with Google Cloud Vertex AI coming soon.
AWS News Blog, published 2024-03-13T15:27-07:00: "Today, we are announcing the availability of Claude[2] 3 Haiku on Amazon Bedrock"; like Sonnet and Opus it has image-to-text vision, multilingual skills and a 200K context window.
The 4 March 2024 family launch, where Haiku was announced but not yet released ("Haiku will be available soon"): $0.25 per million input and $1.25 per million output tokens, a 200K context window, and it reads a ~10k-token arXiv paper with charts in under three seconds.[1]
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原标题: Claude 3 Haiku Released
| 基准测试 | Claude 3 Haiku | GPT-3.5 | Gemini 1.0 Pro |
|---|---|---|---|
| 价格,输入 / 输出 | 0.25 美元 / 1.25 美元 | 0.50 美元 / 1.50 美元 | 0.47 美元 / 1.42 美元 |
| MMLU(本科水平知识) | 75.2% 5-shot | 70.0% 5-shot | 71.8% 5-shot |
| GPQA, Diamond(研究生水平推理) | 33.3% 0-shot CoT | 28.1% 0-shot CoT | — |
| GSM8K(小学数学) | 88.9% 0-shot CoT | 57.1% 5-shot | 86.5% Maj1@32 |
| MATH(数学问题求解) | 40.9% 4-shot | 34.1% 4-shot | 32.6% 4-shot |
| MGSM(多语言数学) | 76.5% 8-shot | — | 63.5% 8-shot |
| HumanEval(代码) | 75.9% 0-shot | 48.1% 0-shot | 67.7% 0-shot |
| DROP, F1 score(文本推理) | 78.4 3-shot | 64.1 3-shot | 74.1 可变样本数 |
| BIG-Bench-Hard(综合评测) | 73.7% 3-shot CoT | 66.6% 3-shot CoT | 75.0% 3-shot CoT |
| ARC-Challenge(知识问答) | 89.2% 25-shot | 85.2% 25-shot | — |
| HellaSwag(常识) | 85.9% 10-shot | 85.5% 10-shot | 84.7% 10-shot |
| 是否支持视觉 | 是 | 否 | 是 |