Claude Opus 5.5 (max) vs GPT-6.1 Sol (xhigh)
Results updated 3 November 2026 · In Claude Code and Codex, so part of any gap can come from the harness · How we benchmark
Verdict
Not comparable yet: Claude Opus 5.5 (max) is not yet ranked.
- Cost per task
- $0.83 vs $0.085
- Time per task
- 4.5 min (estimated) vs 0.8 min
- Tokens per attempt
- 530k vs 145k
- Image input
- Yes vs Yes
Claude Opus 5.5 (max), Claude Code scores higher on Vision agents; GPT-6.1 Sol (xhigh), Codex scores higher on Earth-Bench V2, GeoBenchX and GS-QA2. GPT-6.1 Sol (xhigh), Codex is cheaper and faster: $0.085 against $0.83 per task, and 0.8 min against 4.5 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) | GPT-6.1 Sol (xhigh) |
|---|---|---|
| Climate and time series | 60 | 75 |
| Spatial statistics | 50 | 38 |
| Recognising infeasible requests | 79 | 87 |
| Making maps | 77 | 84 |
Where the tasks are set: each kind of work links to its tasks and scoresCharts for each: Claude Opus 5.5 (max), Claude Code · GPT-6.1 Sol (xhigh), Codex.
Side by side
| Metric | Claude Opus 5.5 (max), Claude Code | GPT-6.1 Sol (xhigh), Codex |
|---|---|---|
| Geospatial Agent Index: Text only | 79 | 82 |
| Geospatial Agent Index: Text + vision | No data | 84 |
| Earth-Bench V2 score | 71 | 72 |
| GeoBenchX score | 74 | 79 |
| GS-QA2 score | 92 | 94 |
| Vision agents score | 98 | 90 |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 100 | 100 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 100 | 95 |
| OGD4All score (standalone; in no index) | 95 | No data |
| GeoNatureAgent score (standalone; in no index) | 100 | No data |
| MultiGlobeQA score (standalone; in no index) | 76 | No data |
| GeoAgentEval score (standalone; in no index) | 100 | No data |
| Remote sensing and raster analysis score | 88 | 85 |
| GIS analysis score | 93 | 93 |
| Climate and time series score | 60 | 75 |
| Spatial statistics score | 50 | 38 |
| Making maps score | 77 | 84 |
| Recognising infeasible requests score | 79 | 87 |
| Cost per task | $0.83 | $0.085 |
| Time per task (at 100 output tokens/s) | 4.5 min (estimated) | 0.8 min |
| Tokens per attempt | 530k | 145k |
| Turns per attempt | 12.0 | 7.4 |
| Input price per 1M tokens | $4.00 | $2.00 |
| Output price per 1M tokens | $20.00 | $10.00 |
| Context window | 1,000,000 | 1,050,000 |
| Image input | Yes | Yes |
| Developer | Anthropic | OpenAI |