Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-5.4 xHigh vs Kimi K2.7 Code: benchmark scores, pricing & comparison.
Side-by-side GPT-5.4 xHigh vs Kimi K2.7 Code 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 #7 vs #8AskClash overall scores 73.5 vs 68.3.
Pricing $2.50/$15.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Moonshot AI.
GPT-5.4 xHigh vs Kimi K2.7 Code benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.4 xHigh | Kimi K2.7 Code |
|---|---|---|
| Overall Score | 73.5 | 68.3 |
| Leaderboard Rank | #7 | #8 |
| RWT | 8.0 | 7.5 |
| Coding Agent Index | 71.1 | — |
| HLE | 52.1 | 54.0 |
| GPQA | 92.8 | 90.5 |
| SWE-bench | — | 80.2 |
| SWE-Pro | 57.7 | 58.6 |
| Terminal-Bench | 75.1 | 66.7 |
| LiveCodeBench | — | 89.6 |
| OSWorld | 75.0 | 73.1 |
| MCP Atlas | 70.6 | 76.0 |
| Finance Agent | — | 44.9 |
| CharXiv | 82.8 | 80.4 |
| MMMU-Pro | 81.2 | 79.4 |
| ARC-AGI 2 | 73.3 | — |
| Tau2 | 98.9 | 90.1 |
| MRCR | 97.3 | — |
| Input Price (per 1M tokens) | $2.50 | $0.95 |
| Output Price (per 1M tokens) | $15.0 | $4.00 |
| Context Window | 1.05M | 256K |
| Benchmark Cells | 14 | 13 |
More GPT-5.4 xHigh and Kimi K2.7 Code comparisons
Explore how GPT-5.4 xHigh and Kimi K2.7 Code stack up against other top-ranked LLMs.
Claude Mythos/Fable 5 vs GPT-5.4 xHighClaude Mythos/Fable 5 vs Kimi K2.7 CodeClaude Opus 4.8 (Adaptive) vs GPT-5.4 xHighClaude Opus 4.8 (Adaptive) vs Kimi K2.7 CodeGPT-5.5 xHigh vs GPT-5.4 xHighGPT-5.5 xHigh vs Kimi K2.7 CodeGLM-5.2 vs GPT-5.4 xHighGLM-5.2 vs Kimi K2.7 CodeClaude Opus 4.7 (Adaptive) vs GPT-5.4 xHighClaude Opus 4.7 (Adaptive) vs Kimi K2.7 Code
How to read this comparison
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.