GLM-4.7 vs Kimi K2
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
GLM-4.7 leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-4.7
63
Kimi K2
43
Verified leaderboard positions: GLM-4.7 #34 · Kimi K2 unranked
Pick GLM-4.7 if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-4.7 | Δ | Kimi K2 |
|---|---|---|---|
| Math | 1.8 | → 14.3 | 16.1 |
| Agentic | 45.7 | — | — |
| Coding | 73.8 | — | — |
| Knowledge | 52.1 | — | — |
Operational Comparison
GLM-4.7
Kimi K2
$0 / $0
$0.6 / $2.5
82 t/s
43 t/s
1.10s
1.51s
200K
128K
Quick Verdict
Pick GLM-4.7 if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
GLM-4.7 is clearly ahead on the provisional aggregate, 63 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2 is also the more expensive model on tokens at $0.60 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. GLM-4.7 is the reasoning model in the pair, while Kimi K2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-4.7 gives you the larger context window at 200K, compared with 128K for Kimi K2.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GLM-4.7 or Kimi K2?
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 63 to 43. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 2.439% and 21.404%.
Which is better for math, GLM-4.7 or Kimi K2?
Kimi K2 has the edge for math in this comparison, averaging 16.1 versus 1.8. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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