In the 2026-10-08 Ranking-view snapshot of Arena.ai's Code Arena / WebDev public leaderboard, Claude Haiku 5.5 (High) ranked 30th out of 142 models with a score of 1587 and 978 votes. Its listed input/output price is $0.10/$0.50 per million tokens and its context is 1M, but the leaderboard reflects public-vote WebDev matchups and cannot be extrapolated to general coding.
Suitable tasks: Web development, frontend and full-stack code generation, and WebDev agent tasks that require multi-step reasoning and tool calls.
Not suitable for: Treating 30th place in WebDev as a substitute for general coding ability, terminal operations, cross-language refactoring, or production stability.
Applicable model versions: claude-haiku-5.5-high, the Claude Haiku 5.5 High configuration on the Arena.ai leaderboard.
Applicable clients, agents, or APIs: Arena.ai Code Arena / WebDev. The page publishes model tier, price, and context, but not each matchup's complete prompt, tool trace, or provider details.
Recommended reasoning tier and parameters: This entry covers High only. When using it, keep the same model tier, context limit, and tool permissions, and treat the leaderboard score as an external ranking signal.
Evaluation type: Code Arena / WebDev. The page says it covers frontend web-development tasks, including agentic coding workflows that require multi-step reasoning and tool use.
Leaderboard snapshot: The Ranking view showed a data date of 2026-10-08; at that time it summarized 142 models and 852,934 votes. The leaderboard is continuously updated, and the page footer showed 2026 when collected.
Model entry: claude-haiku-5.5-high, Anthropic · Proprietary; context length 1M.
Pricing fields: Input $0.10/M, Output $0.50/M; these are model-catalog prices and do not equal the actual cost of each matchup.
Statistics: The page shows Score, Votes, and Rank Spread. The Haiku entry shows a rank spread of +20/-20. This field is the leaderboard's rank spread and cannot be treated directly as a score confidence interval.
Task boundaries: The leaderboard aggregates public-vote matchup results on Arena. The page does not disclose complete task sampling, prompts, model-call parameters, voter segmentation, or raw results for each matchup.
| Field | Claude Haiku 5.5 (High) |
|---|---|
| Leaderboard | Code Arena / WebDev / Overall, Ranking view |
| Leaderboard date | 2026-10-08 |
| Total models | 142 |
| WebDev rank | #30 |
| Score | 1587 |
| Votes | 978 |
| Rank Spread | +20 / -20 |
| Input / Output price | $0.10 / $0.50 per million tokens |
| Context | 1M |
The page also lists nearby models: Gemini 3.7 Flash High ranked 29th with 1592 points, while GPT-6 Luna Max ranked 34th with 1581 points. These are adjacent entries in the same WebDev snapshot and do not imply a unified provider or identical model tier.
The public Arena.ai snapshot places Haiku 5.5 High in the top 30 of WebDev, though it remains clearly separated from the leading models. Its listed price is relatively low, making it a candidate for a web-development model pool; whether it can replace Sonnet should be tested on your own codebase using test pass rates, tool calls, and cross-file stability. The 978 votes provide broader user feedback than a single personal experience, but they are not a controlled benchmark sample.
The leaderboard is dynamic. Rank, score, votes, model count, and nearby models can change, so retain the date and page snapshot collected.
The 978 votes are the total votes for this model entry. The page does not explain the task distribution, valid-vote filtering, voter backgrounds, or whether repeat users are present.
The current page does not fully disclose the score formula, matchup pairing, tie handling, or model-strength estimation. +20/-20 is shown only as Rank Spread and cannot be converted into a score error without additional evidence.
WebDev tasks lean toward web development and interactive code generation. They do not represent general software engineering, terminal agents, knowledge Q&A, or factual accuracy.
The listed price and 1M context are model-catalog properties. They cannot be used to derive Arena's per-match cost, latency, output tokens, or cache-hit rate.
Fix the page URL, leaderboard date, model entry claude-haiku-5.5-high, total model count, vote count, and Rank Spread, and save a page snapshot.
In Arena.ai's WebDev matchup entry point, select the same High configuration and record each matchup's task category, model pairing, vote result, and time.
Build a set of your own frontend and full-stack tasks. Fix the prompts, repository version, tool permissions, context, timeout, and output limit, then blind-test them against candidate models such as Sonnet 5.5 High.
Report Arena rank/votes separately from your own test pass rate, human preference, tool-call count, latency, input/output tokens, and cost.
When revisiting the leaderboard, compare changes in date, model count, votes, and rank. Do not overwrite the old result with a new snapshot or label the leaderboard score as your own rerun result.
On 2026-10-08, Arena.ai's WebDev leaderboard listed claude-haiku-5.5-high at rank 30 with 1587 points and 978 votes. This is a public-vote leaderboard snapshot, not proof of Haiku 5.5's general capability.
Claude Haiku 5.5
