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SWE-1.7 leaderboard — benchmarks, pricing, and comparisons.

Compare SWE-1.7 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Rank #44AskClash overall score: 28.8
$0 / $0Input and output token price, when published. Context: 256K.
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SWE-1.7 benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall28.8
Benchmark cells1
Context256K
CreatorCognition

SWE-1.7 public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

RWT

9.0 score

Terminal-Bench

81.5 score

SWE-1.7 vs other AI models

Use these comparison links to evaluate SWE-1.7 against nearby LLMs by benchmark score, price, context window, and provider.

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Shifting to AI model customization is an architectural imperative

In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improvements are still the norm. When a model is fused with an organization’s…

Last cached leaderboard date: July 8, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.