LLM Comparison

SWE-2 vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs Claude Sonnet 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 #10 vs #19AskClash overall scores 66.3 vs 63.1.
Pricing $0/$0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryCognition vs Anthropic.

SWE-2 vs Claude Sonnet 5 benchmark comparison

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

MetricSWE-2Claude Sonnet 5
Overall Score66.363.1
Leaderboard Rank#10#19
ACB60.060.8
RWT8.58.5
Coding Agent Index51.9
HLE43.557.4
GPQA93.591.1
SWE-bench85.2
SWE-Pro63.2
SWE-Atlas66.1
Terminal-Bench92.880.4
DeepSWE73.053.8
GDPval-AA1668.01618.0
OSWorld81.2
MCP Atlas84.2
Finance Agent54.4
CharXiv84.888.3
MMMU-Pro81.677.3
Input Price (per 1M tokens)$0$3.00
Output Price (per 1M tokens)$0$15.0
Context Window256K1M
Benchmarks Published1312

SWE-2 vs Claude Sonnet 5 head-to-head charts

SWE-2 leads 6 and Claude Sonnet 5 leads 3 of 10 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2Claude Sonnet 5
Overall
66.3SWE-2
63.1Claude Sonnet 5
ACB
60.0SWE-2
60.8Claude Sonnet 5
RWT
8.5SWE-2
8.5Claude Sonnet 5
HLE
43.5SWE-2
57.4Claude Sonnet 5
GPQA
93.5SWE-2
91.1Claude Sonnet 5
Terminal-Bench
92.8SWE-2
80.4Claude Sonnet 5
DeepSWE
73.0SWE-2
53.8Claude Sonnet 5
GDPval-AA
1668.0SWE-2
1618.0Claude Sonnet 5
CharXiv
84.8SWE-2
88.3Claude Sonnet 5
MMMU-Pro
81.6SWE-2
77.3Claude Sonnet 5
SWE-2
Input$0
Output$0
Workload$0.00
Context256K
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More SWE-2 and Claude Sonnet 5 comparisons

Explore how SWE-2 and Claude Sonnet 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.