Anthropic releases Haiku 5.5 with up to 90% cost reduction and major benchmark gains
Anthropic released Haiku 5.5, a new AI model offering up to 90% cost reduction over Haiku 4.5 for prompts under 100K tokens. The model features an adjustable effort setting and shows significant benchmark improvements, including a jump from 15.7% to 72.4% on OSWorld 2.1 and from 6.4% to 46.4% on Chartography. Pricing starts at $0.10 per million input tokens.
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Anthropic releases Haiku 5.5 with 90% cost reduction and major benchmark gains over Haiku 4.5
Anthropic has released Haiku 5.5, a new AI model that costs 90% less than Haiku 4.5 on prompts up to 100K tokens. The model introduces the first Haiku effort setting, allowing users to trade cost for accuracy. Despite these improvements, Anthropic still recommends Sonnet 5.5 and Opus 5.5 for complex agentic coding tasks such as Terminal-Bench 4.0. Asana reported over 30% lower task-completion latency and up to 2.5x faster inference per agent turn compared to its current model. On the OSWorld 2.1 benchmark, which tests AI agents operating real computers for long multi-step tasks, Haiku 5.5 achieved 72.4%, a significant jump from Haiku 4.5's 15.7%. On Chartography, a visual reasoning test for reading and interpreting charts without tools, Haiku 5.5 rose from 6.4% to 46.4%.
Read sourceHaiku 5.5 AI model shows 3-5x benchmark improvements over Haiku 4.5, beats GPT-6 Luna
A new AI model, Haiku 5.5, has been released, claiming an almost exponential performance jump over its predecessor, Haiku 4.5. According to benchmark results cited in the announcement, Haiku 5.5 achieves a 72.4% score on OSWorld, up from 15.7%, and a 45.9% score on HLE without tools, up from 10.2%. With tools, the HLE score reaches 57.4%, compared to 18.7% previously. On the Chartography benchmark, the model scores 46.4%, a significant increase from 6.4%. The post further asserts that Haiku 5.5 outperforms GPT-6 Luna on computer use, knowledge work, FrontierCode, and visual reasoning tasks. The pricing for the model is set at $0.10 per million input tokens and $0.50 per million output tokens for contexts under 100K tokens, with higher rates of $0.50 and $2.50 respectively for contexts exceeding 100K tokens.
Read sourceAnthropic releases Haiku 5.5, claiming it is 10x cheaper than Haiku 4.5 under 100k tokens
Anthropic has announced the release of Haiku 5.5, a new version of its AI model, claiming it is cheaper and faster than previous iterations. The company states that Haiku 5.5 is 10x cheaper than Haiku 4.5 for usage under 100,000 tokens. The model is available for computer use, workflows, and through the API. The announcement follows user demand for the return of the Haiku model line.
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Anthropic releases Claude Haiku 5.5, claiming 75% cost reduction over Haiku 4.5
Anthropic has released Claude Haiku 5.5, a small AI model described as cheap, fast, and very capable. According to the announcement, the new model is approximately 75% cheaper to run than its predecessor, Haiku 4.5, and features an adjustable effort setting. The poster, identified as addyosmani, states that their team loves using Haiku 5.5 as a subagent alongside the larger Opus 5.5 model. The release positions Haiku 5.5 as a cost-effective option for AI applications requiring speed and efficiency.
Anthropic releases Claude Haiku 5.5, its fastest and cheapest model with 75% lower cost
Anthropic has released Claude Haiku 5.5, described as its fastest and cheapest model to date. The new model costs 75% less to run than its predecessor, Haiku 4.5. It is the first Haiku model to feature an adjustable effort setting, allowing users to control computational intensity. According to the announcement, Haiku 5.5 shows a significant leap in benchmark performance, particularly in Computer Use and Agentic Coding tasks. The release positions the model as a cost-efficient option for AI applications requiring speed and reduced operational expenses.
Read sourceAnthropic launches Haiku 5.5 with pricing at $0.10 per million input tokens
Anthropic has released Haiku 5.5, a new AI model, with what the source describes as very cheap pricing. For usage under 100,000 tokens, the cost is $0.10 per million input tokens and $0.50 per million output tokens. For usage over 100,000 tokens, the price increases to $0.50 per million input tokens and $2.50 per million output tokens. The source, Mr_Salio, expresses a positive opinion that Anthropic 'might’ve cooked with this one,' suggesting the model and its pricing are competitive or impressive. The announcement was made via a post on X, with a link to further details.
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