A4

Heavyweight · Mainframe

B2
B1

Claude Sonnet 5.5

Anthropic · Max

Claude Sonnet 5.5 imagined as a retro AI machineHeavyweight
  • Intelligence56.0
  • Hallucination47%
  • Context1M
  • KnowledgeJun 2026
  • Speed141tok/s
  • Response491s
  • Price$4.00
  • Modalities3
B1 · HeavyweightReasoningSeason 2026
Play with this deck

Claude Sonnet 5.5

Anthropic · Big, capable everyday models that cost less than the flagships.

B1 · Heavyweightlegendary

Card stats

  • Intelligence ▲ higher wins

    Intelligence Index: a composite score from 10 hard evaluations covering reasoning, knowledge, coding, agents and science.

    56.0

    beats 97% of deck

  • Hallucination ▼ lower wins

    Hallucination rate: of the questions a model gets wrong, how often it confidently makes up an answer instead of saying it doesn't know. Lower wins.

    47 %

    beats 61% of deck

  • Context ▲ higher wins

    Context window: how many tokens of input the model can consider at once.

    1M

    beats 65% of deck

  • Knowledge ▲ higher wins

    Training-data cutoff: the most recent month the model learned about. Later wins. N/D means the lab hasn't disclosed it, and an N/D card loses this stat.

    Jun 2026

    beats 92% of deck

  • Speed ▲ higher wins

    Median output speed in tokens per second, measured on the labs' own APIs.

    141 tok/s

    beats 65% of deck

  • Response ▼ lower wins

    End-to-end response time: seconds to receive a 500-token answer, thinking time included. Lower wins.

    491 s

    beats 3% of deck

  • Price ▼ lower wins

    Blended price per million tokens (3:1 input to output). Lower wins.

    $4.00

    beats 21% of deck

  • Modalities ▲ higher wins

    Number of supported input and output modalities: text, image, audio and video.

    3

    beats 45% of deck

Model facts

Released
2026-09-28
Weights
Proprietary
Parameters
Undisclosed
Reasoning
Yes · tested at Max
Price in / out
$2 / $10 per 1M
Time to first token
487.11 s
Humanity’s Last Exam
55.0%
GPQA Diamond
—
SciCode
61.0%

Sources how we source the numbers