Claude Haiku 5.5

Anthropic's model, with closed weights. Forcebench has run it in 3 configurations on the API board, plus 1 on the lite subset. API is models reached through a hosted service; Local, models served on Forcebench’s own hardware.

On the API board

Models reached through a hosted service. Claude Haiku 5.5 is ranked by the highest-scoring of its 3 configurations: the 14th-highest score of 26 models, not clearly different from 5 other models. Scores are within 3 attempts (c@3) with 95% intervals; each configuration is compared with the highest-scoring one by whether their 95% intervals overlap. Every configuration on the board → Cost and speed →

76%
within 3 attempts (c@3), 95% CI 72–81 · medium · 14th-highest score of 26 models, not clearly different from 5 other models
2.8k
output tokens per task · median 1.7k, p90 7k
8.7 s
median per task, every attempt counted, including network and queueing · 90th percentile 44 s
0%
no answer within the 32,768-token budget
$0.0025
per task at the list price of 10 October 2026, every attempt counted
$0.0032
per solved task: the total cost over the tasks solved · cost and speed
Every configuration
Within 3 attempts (c@3) with 95% intervals, highest first. Bars whose intervals overlap are not clearly different.
  • 95% interval
medium Anthropichighest score
76%, 95% interval 72–81%
high Anthropic
76%, 95% interval 72–80%
low Anthropic
74%, 95% interval 69–78%
    Show the numbers
    Every configuration of Claude Haiku 5.5 on the API board
    ConfigurationRank all configsWithin 3 attempts c@3 · 95% CIAgainst the highest by 95% interval overlapTokens mean · median · p90No answerLatency median per task, every attempt countedCost per taskCost per solved task
    Anthropic · mediumhighest score22
    76%95% CI 72–81
    —2.8k1.7k · 7k0%8.7 s$0.0025$0.0032
    Anthropic · high22
    76%95% CI 72–80
    not clearly different4.5k2.5k · 11k<1%12 s$0.0039$0.0051
    Anthropic · low25
    74%95% CI 69–78
    not clearly different2.2k1.4k · 4.8k0%7.5 s$0.0021$0.0028
    Suites, at its highest-scoring configuration
    medium · Anthropic: within 3 attempts (c@3) on each suite with 95% intervals, against the median of the API board's models, each at its highest-scoring configuration.
    • 95% interval
    • API board median
    90%, 95% interval 70–97%
    89%, 95% interval 67–97%
    94%, 95% interval 73–99%
    85%, 95% interval 64–95%
    29%, 95% interval 13–53%
    61%, 95% interval 39–80%
    78%, 95% interval 55–91%
    95%, 95% interval 75–99%
    94%, 95% interval 74–99%
    83%, 95% interval 61–94%
    67%, 95% interval 44–84%
    87%, 95% interval 62–96%
    50%, 95% interval 29–71%
    95%, 95% interval 76–99%
    50%, 95% interval 29–71%
      Show the numbers
      Per-suite scores of Claude Haiku 5.5's highest-scoring configuration on the API board, with the board's median
      Suitec@3 95% CIAPI medianTasks
      Apex
      90%95% CI 70–97
      90%20
      Salesforce APIs
      89%95% CI 67–97
      72%18
      CI/CD
      94%95% CI 73–99
      88%17
      Salesforce CLI
      85%95% CI 64–95
      90%20
      Salesforce docs
      29%95% CI 13–53
      29%17
      fflib Enterprise Patterns
      61%95% CI 39–80
      61%18
      Flow
      78%95% CI 55–91
      69%18
      Governor limits & pushback
      95%95% CI 75–99
      89%19
      Lightning Web Components
      94%95% CI 74–99
      100%18
      Nonprofit Success Pack
      83%95% CI 61–94
      81%18
      Packaging
      67%95% CI 44–84
      69%18
      Permissions & access
      87%95% CI 62–96
      87%15
      Scratch org definitions
      50%95% CI 29–71
      50%18
      SOQL
      95%95% CI 76–99
      100%20
      Trigger Actions Framework
      50%95% CI 29–71
      86%18

      By reasoning effort

      The same configuration at several efforts, each against its lowest reasoning effort on the same tasks (a paired 95% interval), and charted against the effort tier and against the output tokens it costs. These scores are pass@1, the first answer alone: a paired comparison needs both efforts' answers to the same tasks, and not every effort has had its retries. Lite-subset sweeps (4 tasks per suite) are never plotted with the full benchmark. The effort study has every model.

      Claude Haiku 5.5 by reasoning effort, full benchmark: each effort against the sweep's lowest reasoning effort
      Configuration · effort · full benchmarkpass@1 95% CIAgainst the lowest reasoning effort same tasks, pairedTokens
      lowbaseline
      59%95% CI 54–64
      —2.2k
      medium
      64%95% CI 59–69
      clearly higher (+5 pts, 95% CI +1 pt to +9 pts)2.8k
      high
      63%95% CI 58–68
      no clear difference (+4 pts, 95% CI −0.3 pts to +7 pts); this data can't rule out a change of up to 7 points4.5k
      Score by effort tier · full benchmark
      Overall pass@1; vertical bars are 95% confidence intervals.
      Claude Haiku 5.5, full benchmark: pass@1 by reasoning effort tierClaude Haiku 5.5: low 59%, medium 64%, high 63%0%25%50%75%100%LowMediumHighReasoning effort tierpass@1Claude Haiku 5.5
      Show the numbers
      ModelEffort (tier)pass@195% CITasksNo answerTokens: meanmedianLatency: median per answer
      Claude Haiku 5.5low59%54–642720%2.2k1.4k6.6 s
      Claude Haiku 5.5medium64%59–692720%2.8k1.7k7.7 s
      Claude Haiku 5.5high63%58–68272<1%4.5k2.5k11 s
      Score against output tokens · full benchmark
      Each point is one effort setting. Further right means more output tokens per task. The numbers are under the chart above.
      Claude Haiku 5.5, full benchmark: pass@1 against mean output tokens per taskClaude Haiku 5.5: 2.2k tokens 59%, 2.8k tokens 64%, 4.5k tokens 63%0%25%50%75%100%2k5kMean output tokens per task (log scale)pass@1lowmediumhighClaude Haiku 5.5

      In the studies

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