LLM Comparison

GPT-6.1 Sol vs Claude Opus 5: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs Claude Opus 5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-6.1 Sol ranks higher (#7 vs #8) and wins 4 of 7 shared benchmarks; GPT-6.1 Sol costs less ($2.00/$10.0 vs $5.00/$25.0 per 1M tokens).

Rank #7 vs #8AskClash overall scores 69.2 vs 68.8.
Pricing $2.00/$10.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-6.1 Sol vs Claude Opus 5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-6.1 SolClaude Opus 5
Overall Score69.268.8
Leaderboard Rank#7#8
ACB69.970.5
AA Intelligence Index52.050.7
AutomationBench-AA64.9—
RWT—9.0
Coding Agent Index54.1—
HLE52.964.7
GPQA95.0—
SWE-bench—96.0
SWE-Pro—79.2
SWE-Atlas59.9—
Terminal-Bench 4.056.149.0
DeepSWE75.273.6
GDPval-AA1575.11861.0
MCP Atlas—85.8
Finance Agent v2.161.8—
MMMU-Pro86.0—
ARC-AGI 294.290.4
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$10.0$25.0
Context Window1.05M1M
Benchmarks Published149

GPT-6.1 Sol vs Claude Opus 5 head-to-head charts

GPT-6.1 Sol leads 4 and Claude Opus 5 leads 3 of 7 shared benchmarks. GPT-6.1 Sol is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolClaude Opus 5
Overall
69.2GPT-6.1 Sol
68.8Claude Opus 5
ACB
69.9GPT-6.1 Sol
70.5Claude Opus 5
AA Intelligence Index
52.0GPT-6.1 Sol
50.7Claude Opus 5
HLE
52.9GPT-6.1 Sol
64.7Claude Opus 5
Terminal-Bench 4.0
56.1GPT-6.1 Sol
49.0Claude Opus 5
DeepSWE
75.2GPT-6.1 Sol
73.6Claude Opus 5
GDPval-AA
1575.1GPT-6.1 Sol
1861.0Claude Opus 5
ARC-AGI 2
94.2GPT-6.1 Sol
90.4Claude Opus 5
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6.1 Sol and Claude Opus 5 comparisons

Explore how GPT-6.1 Sol and Claude Opus 5 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.