Anthropic · Efficient
Claude Haiku Latest
Compatibility alias that routes to the newest version of Claude Haiku. Currently routes to Claude Haiku 5.5 with adaptive thinking.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- low · medium · high · xhigh · max
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.50
- Cache read
- $0.01
- Cache write
- $0.13
- $0.20 for a 1-hour cache
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 128K
- Average output (7 days)
- 832 tokens
- Longer than 66% of 465 models
Side by side
Claude Haiku Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Claude Haiku LatestAnthropicThis model | MiniMax M3.1 FlashMiniMaxRemove | |
|---|---|---|
| Provider | Anthropic | MiniMax |
| Discovery tier | Efficient | Efficient |
| Added | Mar 29, 2026 | Oct 19, 2026 |
| Limits | ||
| Context window | 1M | 1.05MBest |
| Max output | 128K | 524.29KBest |
| Average output | 832 tokens | 1.4K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10Best | $0.15 |
| Output | $0.50Best | $0.60 |
| Cache read | $0.01Best | $0.015 |
| Cache write | $0.13 | — |
| Performance | ||
| Throughput | 184.0 tok/sBest | 113.1 tok/s |
| Time to first token | 3.6 s | 2.0 sBest |
| Request success (24h) | 99.9%Best | 99.7% |
| Benchmark indexes | ||
| Intelligence Index | 43.4Best | 42.7 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | No |
| PDF input | Yes | No |
| Video input | No | Yes |
| Reasoning effort | low, medium, high, xhigh, max | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Claude Haiku Latest
- MiniMax M3.1 Flash
Intelligence Index
- Claude Haiku Latest43.4
- MiniMax M3.1 Flash42.7
Claude Haiku Latest tested at max reasoning effort
Claude Haiku Latest: Better than 88% of 326 scored models
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Claude Haiku Latest: 35.4%
- MiniMax M3.1 Flash: 72.5%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Claude Haiku Latest: 13.9%
- MiniMax M3.1 Flash: 38.1%Top
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- Claude Haiku Latest: 0.6%
- MiniMax M3.1 Flash: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Claude Haiku Latest: 1,575 EloTop
- MiniMax M3.1 Flash: 1,473 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Claude Haiku Latest: 1,619 EloTop
- MiniMax M3.1 Flash: 1,458 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Claude Haiku Latest: 20.8%Top
- MiniMax M3.1 Flash: 20.8%Top
AA-LCRv1.1
Reasoning across long documents
- Claude Haiku Latest: 82.7%Top
- MiniMax M3.1 Flash: 79.7%
MLCR-AA
Long-context reasoning over medical records
- Claude Haiku Latest: 35.0%Top
- MiniMax M3.1 Flash: 16.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude Haiku Latest: 44.4%
- MiniMax M3.1 Flash: 48.0%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Claude Haiku Latest: 32.8%Top
- MiniMax M3.1 Flash: 25.8%
SciCode
Scientific computing in Python
- Claude Haiku Latest: 55.0%Top
- MiniMax M3.1 Flash: 53.4%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Claude Haiku Latest: 82.7%Top
- MiniMax M3.1 Flash: 79.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Claude Haiku Latest was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 184.0 tok/s
- Faster than 81% of 250 models
- Time to first token
- 3.6 s
- Quicker than 49% of 250 models
- Prompt cache hits
- 0.0%
- About $0.10 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-haiku-latest",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="anthropic/claude-haiku-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
Related models
Other Anthropic models, starting with the same family.