Claude Haiku 5.5
Anthropic · released Oct 7, 2026
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
Specification
- Context window
- 1M
- Max output
- 128K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 5
- Moderated
- Yes
- Uptime
- 100.0%
Intelligence
43.4
94th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
182 t/s
Median across providers
Latency
397ms
Time to first token
Cost per task
$0.04
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AA-LCR (long context)82.7%
- SciCode55.0%
- Humanity's Last Exam44.4%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AA-LCR (long context) | 82.7% |
| SciCode | 55.0% |
| Humanity's Last Exam | 44.4% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GLM 5.3Z.ai44.8
- Grok 4.6xAI44.3
- Step 5 PreviewStepFun43.7
- Kimi K3Moonshot AI43.6
- Claude Haiku 5.5Anthropic43.4
- GPT-5.6 TerraOpenAI42.1
- GLM 5.3 FlashZ.ai41.8
- Claude Opus 4.8Anthropic41.8
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GLM 5.3 | 44.8 |
| Grok 4.6 | 44.3 |
| Step 5 Preview | 43.7 |
| Kimi K3 | 43.6 |
| Claude Haiku 5.5 | 43.4 |
| GPT-5.6 Terra | 42.1 |
| GLM 5.3 Flash | 41.8 |
| Claude Opus 4.8 | 41.8 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.1
- Output / 1M tokens
- $0.5
- Cached input / 1M
- $0.01
- Blended 3:1
- $0.2
One task, estimated
$0.04
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,347
- Win rate
- 59.0%
- Strongest at
- 3D scenes
- Tournaments
- 705
Elo by category
Dot position on a 1,250–1,350 scale · Elo has no meaningful zero
- 1,347
- 1,316
- 1,299
- 1,294
- 1,265
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| 3D scenes | 1347 | 59.0% |
| Game development | 1316 | 53.8% |
| UI components | 1299 | 52.8% |
| Data visualisation | 1294 | 55.1% |
| Websites | 1265 | 48.5% |