Which is better: SWE-1.7 or Kimi K2.7?

AskClash compares SWE-1.7 and Kimi K2.7 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do SWE-1.7 and Kimi K2.7 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both SWE-1.7 and Kimi K2.7 when publicly disclosed.

LLM Comparison

SWE-1.7 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side SWE-1.7 vs Kimi K2.7 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 SWE-1.7 model page Kimi K2.7 model page

Rank #30 vs #46AskClash overall scores 51.1 vs 34.8.

Pricing $0/$0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightCognition vs Moonshot AI.

SWE-1.7 vs Kimi K2.7 benchmark comparison

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

Metric	SWE-1.7	Kimi K2.7
Overall Score	51.1	34.8
Leaderboard Rank	#30	#46
ACB	—	43.0
RWT	8.5	7.5
Terminal-Bench	81.5	—
DeepSWE	—	30.5
MCP Atlas	—	76.0
Tau2	—	90.1
Input Price (per 1M tokens)	$0	$0.95
Output Price (per 1M tokens)	$0	$4.00
Context Window	256K	256K
Benchmarks Published	1	5

SWE-1.7 vs Kimi K2.7 head-to-head charts

SWE-1.7 leads 2 and Kimi K2.7 leads 0 of 2 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-1.7Kimi K2.7

Overall

51.1SWE-1.7

34.8Kimi K2.7

RWT

8.5SWE-1.7

7.5Kimi K2.7

SWE-1.7

Input$0

Output$0

Workload$0.00

Context256K

Kimi K2.7

Input$0.95

Output$4.00

Workload$1.75

Context256K

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

More SWE-1.7 and Kimi K2.7 comparisons

Explore how SWE-1.7 and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs SWE-1.7 Claude Fable 5.1 vs Kimi K2.7 Claude Fable 5 vs SWE-1.7 Claude Fable 5 vs Kimi K2.7 GPT-5.6 Sol vs SWE-1.7 GPT-5.6 Sol vs Kimi K2.7 Claude Opus 5 vs SWE-1.7 Claude Opus 5 vs Kimi K2.7 Grok 4.6 vs SWE-1.7 Grok 4.6 vs Kimi K2.7

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.