Which is better: GPT-6.1 Sol or GPT-5.5?

Verdict: GPT-6.1 Sol ranks higher (#21 vs #24) and wins 4 of 5 shared benchmarks; GPT-6.1 Sol costs less ($2.00/$10.0 vs $5.00/$30.0 per 1M tokens). AskClash compares GPT-6.1 Sol and GPT-5.5 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-6.1 Sol and GPT-5.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6.1 Sol and GPT-5.5 when publicly disclosed.

LLM Comparison

GPT-6.1 Sol vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs GPT-5.5 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 (#21 vs #24) and wins 4 of 5 shared benchmarks; GPT-6.1 Sol costs less ($2.00/$10.0 vs $5.00/$30.0 per 1M tokens).

Open live leaderboard GPT-6.1 Sol model page GPT-5.5 model page

Rank #21 vs #24AskClash overall scores 62.6 vs 60.7.

Pricing $2.00/$10.0 vs $5.00/$30.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-6.1 Sol vs GPT-5.5 benchmark comparison

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

Metric	GPT-6.1 Sol	GPT-5.5
Overall Score	62.6	60.7
Leaderboard Rank	#21	#24
ACB	61.9	62.0
RWT	—	8.0
Coding Agent Index	62.9	—
HLE	52.9	52.2
GPQA	—	93.6
IFEval	—	75.9
SWE-Pro	—	58.6
SWE-Atlas	61.0	—
Terminal-Bench	—	82.7
DeepSWE	75.2	67.0
GDPval-AA	1575.1	1335.9
OSWorld	—	78.7
MCP Atlas	—	75.3
Finance Agent	—	51.8
MMMU-Pro	86.0	81.2
ARC-AGI 2	—	85.0
Tau2	—	98.0
Input Price (per 1M tokens)	$2.00	$5.00
Output Price (per 1M tokens)	$10.0	$30.0
Context Window	1.05M	1M
Benchmarks Published	10	14

GPT-6.1 Sol vs GPT-5.5 head-to-head charts

GPT-6.1 Sol leads 5 and GPT-5.5 leads 1 of 6 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 SolGPT-5.5

Overall

62.6GPT-6.1 Sol

60.7GPT-5.5

ACB

61.9GPT-6.1 Sol

62.0GPT-5.5

HLE

52.9GPT-6.1 Sol

52.2GPT-5.5

DeepSWE

75.2GPT-6.1 Sol

67.0GPT-5.5

GDPval-AA

1575.1GPT-6.1 Sol

1335.9GPT-5.5

MMMU-Pro

86.0GPT-6.1 Sol

81.2GPT-5.5

GPT-6.1 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

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

More GPT-6.1 Sol and GPT-5.5 comparisons

Explore how GPT-6.1 Sol and GPT-5.5 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-6.1 Sol Claude Fable 5.1 vs GPT-5.5 Claude Opus 5.5 vs GPT-6.1 Sol Claude Opus 5.5 vs GPT-5.5 Claude Fable 5 vs GPT-6.1 Sol Claude Fable 5 vs GPT-5.5 Claude Opus 5 vs GPT-6.1 Sol Claude Opus 5 vs GPT-5.5 GPT-5.6 Sol vs GPT-6.1 Sol GPT-5.6 Sol vs GPT-5.5

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.