LLM Comparison

GPT-6.1 Sol vs SWE-2: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs SWE-2 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 #16) and wins 7 of 10 shared benchmarks; SWE-2 costs less ($0/$0 vs $2.00/$10.0 per 1M tokens).

Rank #6 vs #16AskClash overall scores 72.5 vs 60.4.
Pricing $2.00/$10.0 vs $0/$0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Cognition.

GPT-6.1 Sol vs SWE-2 benchmark comparison

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

MetricGPT-6.1 SolSWE-2
Overall Score72.560.4
Leaderboard Rank#6#16
ACB69.960.0
RWT—8.5
Coding Agent Index62.951.9
HLE52.943.5
GPQA95.093.5
SWE-Atlas61.066.1
Terminal-Bench56.127.3
DeepSWE75.273.0
GDPval-AA1575.11668.0
MCP Atlas—84.2
Finance Agent52.054.4
CharXiv—84.8
MMMU-Pro86.081.6
ARC-AGI 294.2—
Input Price (per 1M tokens)$2.00$0
Output Price (per 1M tokens)$10.0$0
Context Window1.05M256K
Benchmarks Published1413

GPT-6.1 Sol vs SWE-2 head-to-head charts

GPT-6.1 Sol leads 8 and SWE-2 leads 3 of 11 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolSWE-2
Overall
72.5GPT-6.1 Sol
60.4SWE-2
ACB
69.9GPT-6.1 Sol
60.0SWE-2
Coding Agent Index
62.9GPT-6.1 Sol
51.9SWE-2
HLE
52.9GPT-6.1 Sol
43.5SWE-2
GPQA
95.0GPT-6.1 Sol
93.5SWE-2
SWE-Atlas
61.0GPT-6.1 Sol
66.1SWE-2
Terminal-Bench
56.1GPT-6.1 Sol
27.3SWE-2
DeepSWE
75.2GPT-6.1 Sol
73.0SWE-2
GDPval-AA
1575.1GPT-6.1 Sol
1668.0SWE-2
Finance Agent
52.0GPT-6.1 Sol
54.4SWE-2
MMMU-Pro
86.0GPT-6.1 Sol
81.6SWE-2
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
SWE-2
Input$0
Output$0
Workload$0.00
Context256K

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

More GPT-6.1 Sol and SWE-2 comparisons

Explore how GPT-6.1 Sol and SWE-2 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.