LLM Comparison

GPT-5.6 Sol vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Sol vs Composer 2.5 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.

Rank #2 vs #14AskClash overall scores 85.6 vs 67.0.
Pricing $5.00/$30.0 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Cursor.

GPT-5.6 Sol vs Composer 2.5 benchmark comparison

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

MetricGPT-5.6 SolComposer 2.5
Overall Score85.667.0
Leaderboard Rank#2#14
RWT9.58.5
Coding Agent Index80.051.8
HLE47.2
GPQA94.1
SWE-Pro64.647.0
SWE-Atlas84.072.0
Terminal-Bench88.869.3
DeepSWE72.7
Finance Agent53.8
MMMU-Pro83.0
ARC-AGI 292.5
Tau285.1
MRCR91.5
Input Price (per 1M tokens)$5.00$0.50
Output Price (per 1M tokens)$30.0$2.50
Context Window1M200K
Benchmarks Published144

GPT-5.6 Sol vs Composer 2.5 head-to-head charts

GPT-5.6 Sol leads 6 and Composer 2.5 leads 0 of 6 shared benchmarks. Composer 2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolComposer 2.5
Overall
85.6GPT-5.6 Sol
67.0Composer 2.5
RWT
9.5GPT-5.6 Sol
8.5Composer 2.5
Coding Agent Index
80.0GPT-5.6 Sol
51.8Composer 2.5
SWE-Pro
64.6GPT-5.6 Sol
47.0Composer 2.5
SWE-Atlas
84.0GPT-5.6 Sol
72.0Composer 2.5
Terminal-Bench
88.8GPT-5.6 Sol
69.3Composer 2.5
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K

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

More GPT-5.6 Sol and Composer 2.5 comparisons

Explore how GPT-5.6 Sol and Composer 2.5 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.