#39 Claude Sonnet 4.6
medium
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
AI BENCHY Compare
Anthropic: Claude Sonnet 4.6 vs Z.ai: GLM 5.2
Ringkasan
Perbandingan benchmark Claude Sonnet 4.6 (medium) vs GLM 5.2 (high): GLM 5.2 (high) unggul dalam skor rata-rata dengan 8.0 vs 7.8. GLM 5.2 (high) memiliki biaya benchmark lebih rendah di $0.554 vs $1.418. Claude Sonnet 4.6 (medium) lebih cepat di 17.06s vs 37.09s, dengan tingkat keberhasilan 65.1% vs 77.8%.
Model yang direkomendasikan: GLM 5.2 (high) - It has the best score here (8.0), while costing about 2.6x less than Claude Sonnet 4.6 (medium).
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-10
| Metrik | Claude Sonnet 4.6 Claude Sonnet 4.6 medium | GLM 5.2 GLM 5.2 high |
|---|---|---|
| Skor | 7.8 | 8.0 |
| Peringkat | #39 | #32 |
| Keandalan | 10.0 | 9.3 |
| Konsistensi | 9.1 | 7.6 |
| Tes benar | ||
| Tingkat lulus per percobaan | 65.1% | 77.8% |
| Tes tidak stabil | 2 | 6 |
| Total Run | 63 | 63 |
| Biaya per hasil | 10.904 | 4.255 |
| Total Biaya | $1.418 | $0.554 |
| Harga input | $3.000 / 1M | $0.770 / 1M |
| Harga output | $15.000 / 1M | $2.420 / 1M |
| Total token input | 49,112 | 34,993 |
| Token output | 54,703 | 51,575 |
| Token penalaran | 29,970 | 166,065 |
| Waktu respons (rata-rata) | 17.06s | 37.09s |
| Waktu respons (maks) | 46.35s | 180.69s |
| Waktu respons (total) | 221.83s | 778.91s |
Showcase generasi
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#32 GLM 5.2
high
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
Model teratas berdasarkan skor
Skor vs Total Biaya
Waktu respons (rata-rata)
Skor vs Waktu respons (rata-rata)
Total token output
Skor vs Total token output
Rincian Kategori
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 6.5 | 10.0 | 50.0% | 0 | 2.98s | 789 | 1,046 | 1,093 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 5.80s | 639 | 406 | 2,660 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 5.7 | 6.6 | 44.4% | 1 | 33.29s | 6,995 | 16,089 | 3,686 | |
| GLM 5.2 | 6.4 | 4.4 | 77.8% | 2 | 73.03s | 5,124 | 2,302 | 22,546 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 46.35s | 18,351 | 5,871 | 3,962 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 43.51s | 12,696 | 711 | 4,267 |
| Parsing dan ekstraksi data | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 13.90s | 8,676 | 649 | 742 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 5.81s | 7,143 | 435 | 1,414 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 2.9 | 7.2 | 11.1% | 1 | 0ms | 471 | 25,790 | 16,919 | |
| GLM 5.2 | 3.5 | 4.4 | 33.3% | 2 | 73.97s | 551 | 46,693 | 90,566 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 4.94s | 564 | 256 | 433 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 12.90s | 498 | 63 | 1,743 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 2.61s | 792 | 318 | 552 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 4.26s | 678 | 151 | 1,210 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 5.31s | 816 | 592 | 646 | |
| GLM 5.2 | 6.0 | 4.6 | 66.7% | 2 | 33.71s | 665 | 568 | 22,392 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 10.0 | 10.0 | 100.0% | 0 | 7.48s | 11,454 | 655 | 351 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 9.25s | 6,861 | 246 | 503 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6 | 3.0 | 10.0 | 0.0% | 0 | 30.09s | 204 | 3,437 | 1,586 | |
| GLM 5.2 | 3.0 | 10.0 | 0.0% | 0 | 127.82s | 138 | 0 | 18,764 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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