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Anthropic · released 2026-09-28

Sonnet 5.5

Measured on 164 benchmarks across 5 reasoning efforts.

54.3

#5 of 61 models · best at max

Reasoning efforts in this ranking

max54.3#9 of 139
xhigh49.6#18 of 139
high41.1#33 of 139
medium30.2#60 of 139
low25.3#83 of 139

Strengths

  • Sonnet 5.5
  • Gemini 4 Carbon (#1)
  • Field median
bestField medianFrontierCode 2.0-…Terminal-Bench v4…AA-Briefcase v1.1AutomationBench-AATerminal-Bench-Sc…HLE-DiamondCritPt v2 Hard Su…AA-Omniscience v1…AA-Omniscience v1…GDP.pdf
  1. FrontierCode 2.0-AA15%41.7%#4 of 61
  2. Terminal-Bench v4-AA10%63.6%#3 of 61
  3. AA-Briefcase v1.115%1814#1 of 61
  4. AutomationBench-AA5%71.8%#5 of 61
  5. Terminal-Bench-Science-AA15%53.3%#6 of 61
  6. HLE-Diamond10%53.3%#7 of 61
  7. CritPt v2 Hard Subset10%56.0%#8 of 61
  8. AA-Omniscience v1.1 Accuracy10%51.5%#10 of 61
  9. AA-Omniscience v1.1 Non-hallucination5%56.7%#33 of 61
  10. GDP.pdf5%25.8%#12 of 61

Bars show where Sonnet 5.5 sits among the 61 ranked models on each benchmark (right is best); the tick is the field median.

Cost and speed

against 61 ranked models

Cost per task

#16 cheapest of 41

$0.15at max

Time per task

#32 quickest of 40

21 minat max

Output speed

#19 fastest of 52

139 tok/sat max

Time to first token

#51 quickest of 52

7.6 minat max

Output tokens per task

#44 fewest of 44

285kat max

Token price

$0.196 per 1M tokens at API prices$0.0030 on Claude Max 20x

97.3% cache read · 0.04% fresh input · 2.20% cache write · 0.43% output

Measured from T3 Code usage in Claude Code, Oct 27 to Nov 2, high confidence. One app’s users, not everyone’s. $0.197 at the standard 97 / 2.5 / 0.5 mix.

This ranking’s benchmarks

10 of 10 measured

agentic

AutomationBench-AA

241 results
  1. #6max of 24171.8%
  2. #21xhigh of 24165.5%
  3. #46high of 24159.4%
  4. #70medium of 24154.9%
  5. #93low of 24149.4%

Leader: Gemini 4 Carbon · 77.8%

agentic

AA-Briefcase v1.1

247 results
  1. #1max of 2471814
  2. #4xhigh of 2471744
  3. #13high of 2471635
  4. #54medium of 2471440
  5. #88low of 2471268

Leader: this model · 1814

reasoning

CritPt v2 Hard Subset

100 results
  1. #23max of 10056.0%
  2. #26xhigh of 10054.0%
  3. #33high of 10047.5%
  4. #60medium of 10028.5%
  5. #71low of 10022.5%

Leader: GPT-6 Astra · 71.5%

coding

FrontierCode 2.0-AA

97 results
  1. #5max of 9741.7%
  2. #19xhigh of 9735.6%
  3. #35high of 9725.7%
  4. #71medium of 9711.0%
  5. #77low of 977.1%

Leader: Opus 5.5 · 46.4%

economics

GDP.pdf

240 results
  1. #34max of 24025.8%
  2. #38high of 24025.2%
  3. #40xhigh of 24024.6%
  4. #72medium of 24020.2%
  5. #103low of 24016.0%

Leader: Muse Wonder Full · 32.6%

reasoning

HLE-Diamond

142 results
  1. #15max of 14253.3%
  2. #26xhigh of 14244.1%
  3. #34high of 14233.8%
  4. #53medium of 14223.8%
  5. #61low of 14220.6%

Leader: Gemini 4 Carbon · 69.1%

knowledge

AA-Omniscience v1.1 Accuracy

111 results
  1. #22max of 11151.5%
  2. #23xhigh of 11150.9%
  3. #25high of 11150.3%
  4. #36low of 11146.0%
  5. #37medium of 11145.8%

Leader: Fable 5.1 · 68.4%

knowledge

AA-Omniscience v1.1 Non-hallucination

111 results
  1. #49max of 11156.7%
  2. #54low of 11152.3%
  3. #61medium of 11150.0%
  4. #71xhigh of 11138.3%
  5. #73high of 11136.4%

Leader: Gemini 4 Carbon · 95.8%

reasoning

Terminal-Bench-Science-AA

115 results
  1. #11max of 11553.3%
  2. #14xhigh of 11552.4%
  3. #27high of 11534.3%
  4. #42medium of 11516.2%
  5. #51low of 11510.5%

Leader: Gemini 4 Carbon · 64.8%

coding

Terminal-Bench v4-AA

238 results
  1. #3max of 23863.6%
  2. #12xhigh of 23857.1%
  3. #31high of 23843.9%
  4. #54medium of 23829.8%
  5. #74low of 23820.7%

Leader: Kimi K3.1 · 67.2%

All 164 benchmarks

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