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
Claude Opus 4.8 (Adaptive) vs GLM 5.1 Thinking: benchmark scores, pricing & comparison.
Side-by-side Claude Opus 4.8 (Adaptive) vs GLM 5.1 Thinking 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 #2 vs #17AskClash overall scores 89.5 vs 57.5.
Pricing $5.00/$25.0 vs $0/$0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Zhipu AI.
Claude Opus 4.8 (Adaptive) vs GLM 5.1 Thinking benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Opus 4.8 (Adaptive) | GLM 5.1 Thinking |
|---|---|---|
| Overall Score | 89.5 | 57.5 |
| Leaderboard Rank | #2 | #17 |
| RWT | 9.5 | — |
| Coding Agent Index | — | 52.3 |
| HLE | 57.9 | 52.3 |
| GPQA | 93.6 | 86.2 |
| IFEval | 62.2 | — |
| SWE-bench | 88.6 | — |
| SWE-Pro | 69.2 | 58.4 |
| Terminal-Bench | 74.6 | 63.5 |
| OSWorld | 83.4 | — |
| MCP Atlas | 82.2 | 71.8 |
| Finance Agent | 53.9 | 44.8 |
| CharXiv | 89.9 | — |
| Tau2 | 94.4 | 97.7 |
| Input Price (per 1M tokens) | $5.00 | $0 |
| Output Price (per 1M tokens) | $25.0 | $0 |
| Context Window | 1M | 203K |
| Benchmark Cells | 13 | 9 |
More Claude Opus 4.8 (Adaptive) and GLM 5.1 Thinking comparisons
Explore how Claude Opus 4.8 (Adaptive) and GLM 5.1 Thinking stack up against other top-ranked LLMs.
Claude Mythos/Fable 5 vs Claude Opus 4.8 (Adaptive)Claude Mythos/Fable 5 vs GLM 5.1 ThinkingClaude Opus 4.8 (Adaptive) vs GPT-5.5 xHighGPT-5.5 xHigh vs GLM 5.1 ThinkingClaude Opus 4.8 (Adaptive) vs GLM-5.2GLM-5.2 vs GLM 5.1 ThinkingClaude Opus 4.8 (Adaptive) vs Claude Opus 4.7 (Adaptive)Claude Opus 4.7 (Adaptive) vs GLM 5.1 ThinkingClaude Opus 4.8 (Adaptive) vs Qwen3.7 MaxQwen3.7 Max vs GLM 5.1 Thinking
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.