Claude Opus 5.5 (max) vs GPT-6.1 Sol (high)
Results updated 5 November 2026 · In Claude Code and Codex, so part of any gap can come from the harness · How we benchmark
Verdict
Claude Opus 5.5 (max) beats GPT-6.1 Sol (high) by 5 points; GPT-6.1 Sol (high) is cheaper and faster.
- Cost per task
- $1.02 vs $0.059
- Time per task
- 5.3 min (estimated) vs 0.5 min
- Tokens per attempt
- 678k vs 109k
- Image input
- Yes vs Yes
Claude Opus 5.5 (max), Claude Code scores higher than GPT-6.1 Sol (high), Codex on all 4 evaluations scored for both. GPT-6.1 Sol (high), Codex is cheaper and faster: $0.059 against $1.02 per task, and 0.5 min against 5.3 min.
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 (high) |
|---|---|---|
| Change detection | 86 | 68 |
| Making maps | 88 | 81 |
| Remote sensing and raster analysis | 90 | 84 |
| Climate and time series | 73 | 78 |
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 (high), Codex.
Side by side
| Metric | Claude Opus 5.5 (max), Claude Code | GPT-6.1 Sol (high), Codex |
|---|---|---|
| Geospatial Agent Index: Text only | 85 | 80 |
| Geospatial Agent Index: Text + vision | 88 | 82 |
| Earth-Bench V2 score | 81 | 72 |
| GeoBenchX score | 81 | 77 |
| GS-QA2 score | 94 | 93 |
| Vision agents score | 95 | 86 |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 100 | 100 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 100 | 100 |
| OGD4All score (standalone; in no index) | 97 | No data |
| GeoNatureAgent score (standalone; in no index) | 100 | No data |
| MultiGlobeQA score (standalone; in no index) | 80 | No data |
| GeoAgentEval score (standalone; in no index) | 100 | No data |
| ImpactMesh score (standalone; in no index) | No data | No data |
| Remote sensing and raster analysis score | 90 | 84 |
| Change detection score | 86 | 68 |
| GIS analysis score | 95 | 92 |
| Climate and time series score | 73 | 78 |
| Making maps score | 88 | 81 |
| Cost per task | $1.02 | $0.059 |
| Time per task (at 100 output tokens/s) | 5.3 min (estimated) | 0.5 min |
| Tokens per attempt | 678k | 109k |
| Turns per attempt | 13.1 | 6.6 |
| 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 |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Claude Opus 5.5 (max), Claude Code or GPT-6.1 Sol (high), Codex?
Claude Opus 5.5 (max), Claude Code, 85 to 80.
Which is cheaper per task, Claude Opus 5.5 (max), Claude Code or GPT-6.1 Sol (high), Codex?
GPT-6.1 Sol (high), Codex, $0.059 to $1.02.
Which writes fewer output tokens per task, Claude Opus 5.5 (max), Claude Code or GPT-6.1 Sol (high), Codex?
GPT-6.1 Sol (high), Codex, 2k to 27k.
Which has the larger context window, Claude Opus 5.5 (max), Claude Code or GPT-6.1 Sol (high), Codex?
GPT-6.1 Sol (high), Codex, 1,050,000 tokens to 1,000,000 tokens.