[KongchangAI]
ModelHaiku 5.5

Claude Haiku 5.5

A small AI language model released by Anthropic, positioned as a cost-efficient, fast-response lightweight model. It supports an adjustable effort parameter and is suited for high-frequency, low-cost large-scale deployment scenarios.

Core Facts

Timeline (last 90 days)

Oct 28

The score of open-source models with released weights (32 points) trails the leader by 26 points and is lower than Claude Haiku 5.5 (max tier, 36 points).

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Oct 27

In a pipeline-style real-time voice setup, the official example uses Scribe v2 Realtime to transcribe a 16kHz microphone stream, sends the transcribed text to a language model (the example uses anthropic/claude-haiku-5.5), and then feeds the output into speech synthesis.

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Oct 27

Claude Haiku 5.5 won in the 'Last Stand' scenario and never resorted to nuclear weapons throughout.

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Oct 24

At 23:39, Anthropic expanded the impact scope to Sonnet 5.5, Haiku 5.5, and fast mode requests for Opus 5.5.

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Oct 23

Claude Haiku 5.5 costs only 27 dollars per month, reaches a speed of 235 tokens per second, and scores about 10 points higher than Qwen 3.8 27B on the Artificial Analysis Intelligence Index.

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Oct 23

Haiku 5.5 is expected to improve reasoning quality while maintaining low latency.

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Oct 23

Replit officially added Claude Haiku 5.5 to its model selector.

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Oct 23

For individual developers, the most direct change is that the model selector now includes Haiku 5.5.

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Oct 22

It is officially claimed that Mercury 3 surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks.

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Oct 20

v10 added an agent battles mode, in which two LLMs obtain information within the fog of war through tool interfaces and control troops to fight each other, and the project includes complete battle replays and debugging tools.

Unverified50%

40 more timeline events

All Facts (20)

Verified

Compared to Claude Haiku 4.5, Haiku 5.5 reduces operating costs by an average of approximately 75%.

90%
Verified

Maximum output tokens: MiniMax M3.1 Flash is 512K, DeepSeek V4.1 Flash 1017 is 384K, and Claude Haiku 5.5 is 128K.

70%
Verified

Haiku 5.5 is the first Haiku model with an adjustable effort setting.

70%
Verified

Haiku 5.5's direct competitor is GPT-6 Luna in the same tier.

65%
Verified

Claude Haiku 5.5 is built for high-throughput, cost-sensitive tasks.

65%
Verified

Haiku 5.5 is the first Haiku model to support adjustable effort, allowing developers to select the amount of reasoning resources invested based on task difficulty.

65%
Verified

Haiku 5.5 can work as a sub-agent alongside Claude Opus 5.5 and Sonnet 5.5 to complete programming tasks.

65%
Verified

Gemini 2.5 Flash adopts a Mixture of Experts (MoE) architecture, activating only a subset of parameters during inference.

65%
Verified

Technologies such as semantic caching, small-model routing, and Prompt compression can significantly reduce the operational costs of AI Agents

65%
Partially Verified

The default models of multiple Providers have changed: Cortecs, CrossModel, Eden AI, Google Gemini, GitHub Copilot, Google Vertex AI, LLM Gateway, Ofox, OpenCode Go, and Prime Inference now default to Gemini 4 Argon; Fireworks AI, Nebius Token Factory, and Requesty switch to Muse Spark Open; CoreWeave, DigitalOcean, NanoGPT, and Nvidia adopt Nemotron 3.5 Super VL; Aixy and Neon use Claude Haiku 5.5; Agnes AI, Ambient, IteraCompute, Poe, Scaleway, and SenseNova also have their own adjustments.

75%
Unverified

The default models for multiple providers were switched to Claude Haiku 5.5, including Google Vertex AI (changed from Claude Sonnet 5.5 to Claude Haiku 5.5), Cortecs, DevPass, Eden AI, GitHub Copilot, LLM Gateway, NanoGPT, OpenCode Go, Requesty, and Vivgrid.

70%
Partially Verified

Calculated per thousand repair tasks, Claude Haiku 5.5 costs about $0.70, DeepSeek V4.1 Flash 1017 about $1.35, and MiniMax M3.1 Flash about $4.45 by default and about $0.64 at the low setting.

65%
Unverified

The score of open-source models with released weights (32 points) trails the leader by 26 points and is lower than Claude Haiku 5.5 (max tier, 36 points).

50%
Unverified

In a pipeline-style real-time voice setup, the official example uses Scribe v2 Realtime to transcribe a 16kHz microphone stream, sends the transcribed text to a language model (the example uses anthropic/claude-haiku-5.5), and then feeds the output into speech synthesis.

50%
Unverified

Claude Haiku 5.5 costs only 27 dollars per month, reaches a speed of 235 tokens per second, and scores about 10 points higher than Qwen 3.8 27B on the Artificial Analysis Intelligence Index.

50%
Unverified

For individual developers, the most direct change is that the model selector now includes Haiku 5.5.

50%
Unverified

It is officially claimed that Mercury 3 surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks.

50%
Unverified

v10 added an agent battles mode, in which two LLMs obtain information within the fog of war through tool interfaces and control troops to fight each other, and the project includes complete battle replays and debugging tools.

50%
Unverified

In the τ³-bench banking experiments, when Claude Haiku 5.5 drives both the solver and the evolver, skill gains reach as high as 21.5 percentage points.

50%
Unverified

Inception Labs released Mercury 3, a diffusion LLM, claiming it surpasses GPT-6 Luna and Claude Haiku 5.5 on benchmarks and runs 4 to 8 times faster; generation speed reaches 1,068 tokens/second on NVIDIA GPUs, and the context window expands from 260K to 1 million tokens.

50%

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