How do GPT-5.5 and SWE-1.7 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.5 and SWE-1.7 when publicly disclosed.

LLM Comparison

GPT-5.5 vs SWE-1.7: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.5 or SWE-1.7?

AskClash compares GPT-5.5 and SWE-1.7 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.5 vs SWE-1.7 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 leaderboard GPT-5.5 model page SWE-1.7 model page

Rank #7 vs #46AskClash overall scores 76.9 vs 26.4.

Pricing $5.00/$30.0 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Cognition.

GPT-5.5 vs SWE-1.7 benchmark comparison

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

Metric	GPT-5.5	SWE-1.7
Overall Score	76.9	26.4
Leaderboard Rank	#7	#46
RWT	8.0	8.5
Coding Agent Index	76.4	—
HLE	52.2	—
GPQA	93.6	—
SWE-Pro	58.6	—
Terminal-Bench	82.7	81.5
DeepSWE	67.0	—
OSWorld	78.7	—
MCP Atlas	75.3	—
Finance Agent	51.8	—
MMMU-Pro	81.2	—
ARC-AGI 2	85.0	—
Tau2	98.0	—
Input Price (per 1M tokens)	$5.00	$0
Output Price (per 1M tokens)	$30.0	$0
Context Window	1M	256K
Benchmarks Published	13	1

GPT-5.5 vs SWE-1.7 head-to-head charts

GPT-5.5 leads 2 and SWE-1.7 leads 1 of 3 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5SWE-1.7

Overall

76.9GPT-5.5

26.4SWE-1.7

RWT

8.0GPT-5.5

8.5SWE-1.7

Terminal-Bench

82.7GPT-5.5

81.5SWE-1.7

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

SWE-1.7

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-5.5 and SWE-1.7 comparisons

Explore how GPT-5.5 and SWE-1.7 stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.5 Claude Fable 5 vs SWE-1.7 GPT-5.6 Sol vs GPT-5.5 GPT-5.6 Sol vs SWE-1.7 Kimi K3 vs GPT-5.5 Kimi K3 vs SWE-1.7 Claude Opus 4.8 vs GPT-5.5 Claude Opus 4.8 vs SWE-1.7 Grok 4.5 vs GPT-5.5 Grok 4.5 vs SWE-1.7

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.