Claude Opus 5.5 (max) vs Claude Haiku 5.5 (max)
Results updated 3 November 2026 · Both in Claude Code · How we benchmark
Verdict
Not comparable yet: Claude Opus 5.5 (max) is not yet ranked.
- Cost per task
- $0.83 vs $0.079
- Time per task
- 4.5 min (estimated) vs 7.8 min (estimated)
- Tokens per attempt
- 530k vs 859k
- Image input
- Yes vs Yes
Claude Opus 5.5 (max), Claude Code scores higher on Earth-Bench V2, GS-QA2 and Vision agents; Claude Haiku 5.5 (max), Claude Code scores higher on GeoBenchX. Claude Haiku 5.5 (max), Claude Code is cheaper ($0.079 against $0.83 per task), but Claude Opus 5.5 (max), Claude Code is faster (4.5 min against 7.8 min).
Not yet ranked. Claude Opus 5.5 (max), Claude Code. Not in the Agent Index, cost and time charts until it has a score on every index evaluation. Results so far are in the side-by-side table.
Where they differ most
By kind of work, share of tasks passed, 0 to 100 · Higher is better
| Kind of work | Claude Opus 5.5 (max) | Claude Haiku 5.5 (max) |
|---|---|---|
| Climate and time series | 60 | 76 |
| Remote sensing and raster analysis | 88 | 77 |
| Making maps | 77 | 85 |
| Recognising infeasible requests | 79 | 86 |
Where the tasks are set: each kind of work links to its tasks and scoresCharts for each: Claude Opus 5.5 (max), Claude Code · Claude Haiku 5.5 (max), Claude Code.
Side by side
| Metric | Claude Opus 5.5 (max), Claude Code | Claude Haiku 5.5 (max), Claude Code |
|---|---|---|
| Geospatial Agent Index: Text only | 79 | 78 |
| Geospatial Agent Index: Text + vision | No data | 79 |
| Earth-Bench V2 score | 71 | 70 |
| GeoBenchX score | 74 | 78 |
| GS-QA2 score | 92 | 87 |
| Vision agents score | 98 | 81 |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 100 | 97 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 100 | 100 |
| OGD4All score (standalone; in no index) | 95 | 97 |
| GeoNatureAgent score (standalone; in no index) | 100 | 100 |
| MultiGlobeQA score (standalone; in no index) | 76 | 76 |
| GeoAgentEval score (standalone; in no index) | 100 | 96 |
| Remote sensing and raster analysis score | 88 | 77 |
| GIS analysis score | 93 | 91 |
| Climate and time series score | 60 | 76 |
| Spatial statistics score | 50 | 45 |
| Making maps score | 77 | 85 |
| Recognising infeasible requests score | 79 | 86 |
| Cost per task | $0.83 | $0.079 |
| Time per task (at 100 output tokens/s) | 4.5 min (estimated) | 7.8 min (estimated) |
| Tokens per attempt | 530k | 859k |
| Turns per attempt | 12.0 | 13.1 |
| Input price per 1M tokens | $4.00 | $0.10 |
| Output price per 1M tokens | $20.00 | $0.50 |
| Context window | 1,000,000 | 1,000,000 |
| Image input | Yes | Yes |
| Developer | Anthropic | Anthropic |