All tasks / Comparisons

Claude Opus 5.5 vs GPT-6.1 Sol

Compared only on public benchmark results, across the 8 tasks where both are listed: Claude Opus 5.5 is a tier higher in 3 of 8 shared tasks, GPT-6.1 Sol in 1, they share a tier in 2.

Claude Opus 5.5

Anthropic's Opus-tier Claude model for long-running agentic coding and knowledge work.

Vendor
Anthropic
Weights
Closed: API and apps only
Released
22 Sep 2026
API price
$4 in / $20 out per 1M tokens
License
proprietary
Last verified
18 Oct 2026

Alternatives to Claude Opus 5.5

GPT-6.1 Sol

OpenAI's mid-priced GPT tier, described as near-Astra performance for complex work at lower cost.

Vendor
OpenAI
Weights
Closed: API and apps only
Released
29 Sep 2026
API price
$2 in / $10 out per 1M tokens
License
proprietary
Last verified
18 Oct 2026

Alternatives to GPT-6.1 Sol

Task by task

TaskClaude Opus 5.5GPT-6.1 SolHigher tier
Chat & assistants
Models
S1,508 on LMArena Text Arena (overall, style control) · CloudS1,484 on LMArena Text Arena (overall, style control) · CloudSame tier
Search & research
Models
A1,211 on LMArena Search Arena (style control) · CloudS1,250 on LMArena Search Arena (style control) · CloudGPT-6.1 Sol
Writing
Models
S1,519 on LMArena Text Arena: Creative Writing (style control) · CloudA1,458 on LMArena Text Arena: Creative Writing (style control) · CloudClaude Opus 5.5
Documents & OCR
Models
–No public result yet · Cloud–No public result yet · Cloud—
Coding
Models
S1,806 on LMArena WebDev / Code Arena (overall) · CloudA1,754 on LMArena WebDev / Code Arena (overall) · CloudClaude Opus 5.5
Image understanding
Models
S1,293 on LMArena Vision Arena (overall, style control) · CloudS1,294 on LMArena Vision Arena (overall, style control) · CloudSame tier
Browser & computer agents
Models
–No public result yet · Cloud–No public result yet · Cloud—
Workflow automation
Models
A69.5% on AutomationBench-AA (Artificial Analysis) · CloudB64.9% on AutomationBench-AA (Artificial Analysis) · CloudClaude Opus 5.5

A tier spans a range of scores, and small gaps on a leaderboard are often within its margin of error, so only a different tier counts as ahead. How we rank.

Same benchmark, both results

BenchmarkClaude Opus 5.5GPT-6.1 SolSnapshot
Artificial Analysis Intelligence Index
Composite index over Artificial Analysis' own evaluation suite, higher is better
585218 Oct 2026
Artificial Analysis MMMU-Pro (independent evaluation)
Accuracy on MMMU-Pro (multi-discipline multimodal questions over images), as run by Artificial Analysis, higher is better
87.7%86%19 Oct 2026
AutomationBench-AA (Artificial Analysis)
Score: average share of each task's objectives completed across 657 business-workflow tasks in 40 simulated SaaS apps via REST APIs; a task with any guardrail (business-rule) violation scores zero, higher is better
69.5%64.9%19 Oct 2026
LMArena Search Arena (style control)
Arena score (Bradley-Terry rating from pairwise human votes on search-grounded answers, style-controlled view), higher is better
1,2111,25013 Oct 2026
LMArena Text Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes, style-controlled default view), higher is better
1,5081,48415 Oct 2026
LMArena Text Arena: Creative Writing (style control)
Arena score (Bradley-Terry rating from pairwise human votes, creative-writing prompts only, style-controlled view), higher is better
1,5191,45815 Oct 2026
LMArena Vision Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes on image + text prompts, style-controlled view), higher is better
1,2931,2949 Oct 2026
LMArena WebDev / Code Arena (overall)
Arena score (Bradley-Terry rating from pairwise human votes on web-app generation), higher is better
1,8061,75418 Oct 2026
ParseBench (models)
Overall: mean of five rule-based dimension scores (tables, charts, content faithfulness, semantic formatting, visual grounding) on ~2,000 human-verified enterprise pages, higher is better
79.8%70.5%9 Oct 2026