LLM Comparison

SWE-2 vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs Claude Opus 4.8 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 pageClaude Opus 4.8 model page
Rank #11 vs #12AskClash overall scores 69.6 vs 69.5.
Pricing $0/$0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryCognition vs Anthropic.

SWE-2 vs Claude Opus 4.8 benchmark comparison

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

MetricSWE-2Claude Opus 4.8
Overall Score69.669.5
Leaderboard Rank#11#12
ACB60.060.1
RWT8.59.0
Coding Agent Index51.972.5
HLE43.557.9
GPQA93.593.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro—69.2
SWE-Atlas66.182.5
Terminal-Bench92.874.6
DeepSWE73.059.0
GDPval-AA1668.01889.8
OSWorld—83.4
MCP Atlas84.282.2
Finance Agent54.453.9
CharXiv84.889.9
MMMU-Pro81.6—
ARC-AGI 2—72.1
Tau2—94.4
Input Price (per 1M tokens)$0$5.00
Output Price (per 1M tokens)$0$25.0
Context Window256K1M
Benchmarks Published1316

SWE-2 vs Claude Opus 4.8 head-to-head charts

SWE-2 leads 5 and Claude Opus 4.8 leads 8 of 13 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2Claude Opus 4.8
Overall
69.6SWE-2
69.5Claude Opus 4.8
ACB
60.0SWE-2
60.1Claude Opus 4.8
RWT
8.5SWE-2
9.0Claude Opus 4.8
Coding Agent Index
51.9SWE-2
72.5Claude Opus 4.8
HLE
43.5SWE-2
57.9Claude Opus 4.8
GPQA
93.5SWE-2
93.6Claude Opus 4.8
SWE-Atlas
66.1SWE-2
82.5Claude Opus 4.8
Terminal-Bench
92.8SWE-2
74.6Claude Opus 4.8
DeepSWE
73.0SWE-2
59.0Claude Opus 4.8
GDPval-AA
1668.0SWE-2
1889.8Claude Opus 4.8
MCP Atlas
84.2SWE-2
82.2Claude Opus 4.8
Finance Agent
54.4SWE-2
53.9Claude Opus 4.8
SWE-2
Input$0
Output$0
Workload$0.00
Context256K
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
Context1M

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

More SWE-2 and Claude Opus 4.8 comparisons

Explore how SWE-2 and Claude Opus 4.8 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs SWE-2Claude Fable 5.1 vs Claude Opus 4.8Claude Opus 5.5 vs SWE-2Claude Opus 5.5 vs Claude Opus 4.8Claude Fable 5 vs SWE-2Claude Fable 5 vs Claude Opus 4.8GPT-5.6 Sol vs SWE-2GPT-5.6 Sol vs Claude Opus 4.8Claude Opus 5 vs SWE-2Claude Opus 5 vs Claude Opus 4.8

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.