GLM-5.1 vs Grok 4.5
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Grok 4.5 leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-5.1
69
Grok 4.5
75
Verified leaderboard positions: GLM-5.1 #16 · Grok 4.5 unranked
Pick Grok 4.5 if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if you want the cheaper token bill.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5.1 | Δ | Grok 4.5 |
|---|---|---|---|
| Agentic | 65.4 | → 17.9 | 83.3 |
| Coding | 60.2 | → 4.5 | 64.7 |
| Knowledge | 52.3 | — | — |
| Math | 88.9 | — | — |
Operational Comparison
GLM-5.1
Grok 4.5
$1.4 / $4.4
$2 / $6
N/A
N/A
N/A
N/A
203K
500K
Quick Verdict
Pick Grok 4.5 if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if you want the cheaper token bill.
Grok 4.5 is clearly ahead on the provisional aggregate, 75 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.5's sharpest advantage is in agentic, where it averages 83.3 against 65.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.5% to 83.3%.
Grok 4.5 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.1. Grok 4.5 gives you the larger context window at 500K, compared with 203K for GLM-5.1.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, GLM-5.1 or Grok 4.5?
Grok 4.5 is ahead on BenchLM's provisional leaderboard, 75 to 69. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.5% and 83.3%.
Which is better for coding, GLM-5.1 or Grok 4.5?
Grok 4.5 has the edge for coding in this comparison, averaging 64.7 versus 60.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GLM-5.1 or Grok 4.5?
Grok 4.5 has the edge for agentic tasks in this comparison, averaging 83.3 versus 65.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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