LLM Comparison

SWE-2 vs GPT-6 Sol: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs GPT-6 Sol 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.

Open live leaderboardSWE-2 model pageGPT-6 Sol model page
Rank #10 vs #30AskClash overall scores 66.2 vs 56.6.
Pricing $0/$0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryCognition vs OpenAI.

SWE-2 vs GPT-6 Sol benchmark comparison

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

MetricSWE-2GPT-6 Sol
Overall Score66.256.6
Leaderboard Rank#10#30
ACB60.055.8
RWT8.5—
Coding Agent Index51.9—
HLE43.547.9
GPQA93.5—
SWE-Atlas66.1—
Terminal-Bench92.8—
DeepSWE73.068.8
GDPval-AA1668.01486.9
MCP Atlas84.2—
Finance Agent54.4—
CharXiv84.8—
MMMU-Pro81.683.3
Input Price (per 1M tokens)$0$2.00
Output Price (per 1M tokens)$0$10.0
Context Window256K1.05M
Benchmarks Published136

SWE-2 vs GPT-6 Sol head-to-head charts

SWE-2 leads 4 and GPT-6 Sol leads 2 of 6 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2GPT-6 Sol
Overall
66.2SWE-2
56.6GPT-6 Sol
ACB
60.0SWE-2
55.8GPT-6 Sol
HLE
43.5SWE-2
47.9GPT-6 Sol
DeepSWE
73.0SWE-2
68.8GPT-6 Sol
GDPval-AA
1668.0SWE-2
1486.9GPT-6 Sol
MMMU-Pro
81.6SWE-2
83.3GPT-6 Sol
SWE-2
Input$0
Output$0
Workload$0.00
Context256K
GPT-6 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More SWE-2 and GPT-6 Sol comparisons

Explore how SWE-2 and GPT-6 Sol stack up against other top-ranked LLMs.

Claude Fable 5.1 vs SWE-2Claude Fable 5.1 vs GPT-6 SolClaude Fable 5 vs SWE-2Claude Fable 5 vs GPT-6 SolClaude Opus 5.5 vs SWE-2Claude Opus 5.5 vs GPT-6 SolClaude Opus 5 vs SWE-2Claude Opus 5 vs GPT-6 SolGPT-5.6 Sol vs SWE-2GPT-5.6 Sol vs GPT-6 Sol

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.