LLM Comparison

GPT-6.1 Sol vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs Claude Opus 4.8 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 (#6 vs #14); GPT-6.1 Sol costs less ($2.00/$10.0 vs $5.00/$25.0 per 1M tokens).

Open live leaderboardGPT-6.1 Sol model pageClaude Opus 4.8 model page
Rank #6 vs #14AskClash overall scores 72.5 vs 61.8.
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 4.8 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 4.8
Overall Score72.561.8
Leaderboard Rank#6#14
ACB69.960.1
RWT—9.0
Coding Agent Index62.972.5
HLE52.957.9
GPQA95.093.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro—69.2
SWE-Atlas61.082.5
Terminal-Bench56.121.7
DeepSWE75.259.0
GDPval-AA1575.11889.8
OSWorld—83.4
MCP Atlas—82.2
Finance Agent52.053.9
CharXiv—89.9
MMMU-Pro86.0—
ARC-AGI 294.272.1
Tau2—94.4
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$10.0$25.0
Context Window1.05M1M
Benchmarks Published1416

GPT-6.1 Sol vs Claude Opus 4.8 head-to-head charts

GPT-6.1 Sol leads 6 and Claude Opus 4.8 leads 5 of 11 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 4.8
Overall
72.5GPT-6.1 Sol
61.8Claude Opus 4.8
ACB
69.9GPT-6.1 Sol
60.1Claude Opus 4.8
Coding Agent Index
62.9GPT-6.1 Sol
72.5Claude Opus 4.8
HLE
52.9GPT-6.1 Sol
57.9Claude Opus 4.8
GPQA
95.0GPT-6.1 Sol
93.6Claude Opus 4.8
SWE-Atlas
61.0GPT-6.1 Sol
82.5Claude Opus 4.8
Terminal-Bench
56.1GPT-6.1 Sol
21.7Claude Opus 4.8
DeepSWE
75.2GPT-6.1 Sol
59.0Claude Opus 4.8
GDPval-AA
1575.1GPT-6.1 Sol
1889.8Claude Opus 4.8
Finance Agent
52.0GPT-6.1 Sol
53.9Claude Opus 4.8
ARC-AGI 2
94.2GPT-6.1 Sol
72.1Claude Opus 4.8
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
Claude Opus 4.8
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 4.8 comparisons

Explore how GPT-6.1 Sol and Claude Opus 4.8 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6.1 SolClaude Opus 5.5 vs Claude Opus 4.8Claude Fable 5.1 vs GPT-6.1 SolClaude Fable 5.1 vs Claude Opus 4.8Claude Opus 5 vs GPT-6.1 SolClaude Opus 5 vs Claude Opus 4.8Claude Sonnet 5.5 vs GPT-6.1 SolClaude Sonnet 5.5 vs Claude Opus 4.8Claude Fable 5 vs GPT-6.1 SolClaude Fable 5 vs Claude Opus 4.8

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.