Claude Haiku 5.5 at a glance
Claude Haiku 5.5 targets high-volume work such as classification, summaries and live support, starting at $0.10 input and $0.50 output per million tokens.
Current standing
As of
- Rank
- #14of 43 models
Claude Haiku 5.5 (Max) · 36.5 on the Artificial Analysis Intelligence Index v5.0.1 (opens in a new tab)
- Recorded at publication
- 36 (v5.0.1)
as of
- Current leader
- Gemini 4 Carbon (Google) · 60
Computed from our daily snapshot; it changes as new models are measured. Claude Haiku 5.5 brings an effort setting to Anthropic's cheapest tier
What changed with Claude Haiku 5.5
Claude Haiku 5.5, model ID claude-haiku-5-5, is available on the Claude Platform, AWS, Google Cloud and Microsoft Azure. Anthropic positions it for summaries, compaction, database queries and classification, and as a fast subagent working under Opus 5.5 or Sonnet 5.5. It is the first Haiku model with an adjustable effort setting.
Pricing is tiered by prompt length: $0.10 input and $0.50 output per million tokens for prompts up to 100k tokens, and $0.50/$2.50 above that. Anthropic reported 72.4% on an offline subset of OSWorld 2.1 and 39.2% on Terminal-Bench 4.0.
Claude Haiku 5.5 benchmarks and pricing
Values are copied from the linked source on the date shown. They are not IA Compa measurements.
- Artificial Analysis Intelligence Indexas of · Source for Artificial Analysis Intelligence Index: artificialanalysis.ai (opens in a new tab)
- 36 (v5.0.1)
- Output speedas of · Source for Output speed: artificialanalysis.ai (opens in a new tab)
- 236 tokens/s
- Input price per 1M tokens (prompts up to 100k)as of · Source for Input price per 1M tokens (prompts up to 100k): anthropic.com (opens in a new tab)
- $0.10
- Output price per 1M tokens (prompts up to 100k)as of · Source for Output price per 1M tokens (prompts up to 100k): anthropic.com (opens in a new tab)
- $0.50
- Context windowas of · Source for Context window: artificialanalysis.ai (opens in a new tab)
- 1M tokens
How it compares
Other models in the same category that we have covered, using each model's latest recorded value. (Models)
Claude Haiku 5.5 reasoning effort
Artificial Analysis tests this model at several reasoning-effort settings. Higher effort usually scores higher but costs more and answers more slowly.
Claude Haiku 5.5 by effort level
Higher effort lets the model think longer. Here is what each setting scores, how fast it writes, and what it costs on Artificial Analysis.
| Effort | Intelligence Index | Output speed (tokens per second) | Cost to run the index | Blended price (3:1) (per 1M tokens) | Price in / out (per 1M tokens) | First token |
|---|---|---|---|---|---|---|
| Max (Claude Haiku 5.5 (max)) · Best: highest effort with a score, used in the leaderboard | 37 | 236 | $339 | $0.20 | $0.10 / $0.50 | 183 s |
| Extra high (Claude Haiku 5.5 (xhigh)) | 35 | 235 | $193 | $0.20 | $0.10 / $0.50 | 56 s |
| High (Claude Haiku 5.5 (high)) | 30 | 218 | $121 | $0.20 | $0.10 / $0.50 | 26 s |
| Medium (Claude Haiku 5.5 (medium)) | 25 | 219 | $72.70 | $0.20 | $0.10 / $0.50 | 12 s |
| Low (Claude Haiku 5.5 (low)) | 19 | 217 | $39.60 | $0.20 | $0.10 / $0.50 | 9.6 s |
Where to compare Claude Haiku 5.5
Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.
Leaderboards
General leaderboards
Official resources
Why Claude Haiku 5.5 matters for businesses
Artificial Analysis lists 36 on Intelligence Index v5.0.1 at 236 tokens per second. For chat support, lead triage and bulk document tagging, this price point makes per-message AI costs very small.
Sources for this story
- Introducing Claude Haiku 5.5 (opens in a new tab)Official
Anthropic · anthropic.com
- Claude Haiku 5.5 model page (opens in a new tab)Benchmark
Artificial Analysis · artificialanalysis.ai
Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.
- #llm
- #anthropic
- #claude
- #low-cost
- #customer-support
