- Peringkat
- #430
- Total token output
- 329,997
- Waktu respons (rata-rata)
- 16.99s
- Total Biaya
- $0.084
LFM3-1.7B (default) vs GPT-6 Luna (medium)
GPT-6 Luna (medium) unggul dalam skor rata-rata dengan 8.3 vs 4.1. GPT-6 Luna (medium) memiliki biaya benchmark lebih rendah di $0.047 vs $0.084. LFM3-1.7B (default) lebih cepat di 16.99s vs 18.07s, dengan tingkat keberhasilan 34.8% vs 73.9%.
Model yang Dibandingkan
- Peringkat
- #118
- Total token output
- 53,161
- Waktu respons (rata-rata)
- 18.07s
- Total Biaya
- $0.047
Model yang direkomendasikan
GPT-6 Luna (medium)
It has the best score here (8.3), while costing about 1.8x less than LFM3-1.7B (default).
Perbandingan terperinci
| Metrik | LFM3-1.7B LFM3-1.7B default Tersedia gratis | GPT-6 Luna GPT-6 Luna medium |
|---|---|---|
| Skor | 4.1 | 8.3 |
| Peringkat | #430 | #118 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.2 | 8.9 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 34.8% | 73.9% |
| Tes tidak stabil | 5 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.672 | 0.313 |
| Total Biaya | $0.084 | $0.047 |
| Harga input | $0.080 / 1M | $0.100 / 1M |
| Harga output | $0.200 / 1M | $0.500 / 1M |
| Harga baca cache | $0.020 / 1M | $0.010 / 1M |
| Harga tulis cache | T/A | $0.125 / 1M |
| Total token input | 219,830 | 203,193 |
| Token output | 5,711 | 5,751 |
| Token penalaran | 324,286 | 47,410 |
| Waktu respons (rata-rata) | 16.99s | 18.07s |
| Waktu respons (maks) | 56.52s | 66.44s |
| Waktu respons (total) | 390.77s | 415.53s |
| Parameter | 1.7B | ~400B total (~17B aktif) |
| Ketersediaan | Bobot tersedia | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#430 LiquidAI: LFM3-1.7B
default
OpenRouter returned no showcase content (finish_reason: length).
- Biaya
- $0.002
- Waktu
- 23.3s
- Token
- 8,320 tok
#118 GPT-6 Luna
medium- Biaya
- $0.002
- Waktu
- 23.6s
- Token
- 2,966 tok
Rincian Kategori
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 3.4 | 9.6 | 0.0% | 0 | 56.52s | 149,079 | 749 | 32,217 | |
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 66.44s | 124,247 | 1,116 | 6,891 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 7.0 | 7.9 | 66.7% | 1 | 5.98s | 672 | 2,226 | 16,677 | |
| GPT-6 Luna | 8.3 | 10.0 | 75.0% | 0 | 4.32s | 606 | 156 | 875 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 2.9 | 10.0 | 0.0% | 0 | 26.48s | 7,461 | 0 | 73,728 | |
| GPT-6 Luna | 6.6 | 4.6 | 77.8% | 2 | 23.63s | 7,302 | 438 | 10,222 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 6.5 | 10.0 | 50.0% | 0 | 41.31s | 40,494 | 579 | 73,968 | |
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 22.65s | 55,738 | 3,052 | 4,096 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 2.9 | 5.8 | 16.7% | 1 | 8.32s | 7,332 | 227 | 14,678 | |
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 26.09s | 7,140 | 234 | 268 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 5.9 | 7.2 | 55.6% | 1 | 12.39s | 780 | 20 | 33,410 | |
| GPT-6 Luna | 5.9 | 7.2 | 55.6% | 1 | 22.71s | 732 | 70 | 19,191 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 4.2 | 9.9 | 0.0% | 0 | 7.07s | 516 | 221 | 6,343 | |
| GPT-6 Luna | 4.4 | 9.9 | 0.0% | 0 | 28.25s | 477 | 91 | 289 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 6.3 | 10.0 | 50.0% | 0 | 6.64s | 699 | 66 | 10,603 | |
| GPT-6 Luna | 9.8 | 10.0 | 100.0% | 0 | 13.24s | 660 | 89 | 409 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 4.2 | 4.4 | 44.5% | 2 | 5.33s | 717 | 1,102 | 13,671 | |
| GPT-6 Luna | 7.7 | 10.0 | 66.7% | 0 | 9.78s | 642 | 211 | 3,189 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 3.0 | 10.0 | 0.0% | 0 | 36.00s | 11,879 | 514 | 27,467 | |
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 4.84s | 5,454 | 264 | 249 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| LFM3-1.7B | 3.0 | 10.0 | 0.0% | 0 | 22.16s | 201 | 7 | 21,524 | |
| GPT-6 Luna | 3.0 | 10.0 | 0.0% | 0 | 6.39s | 195 | 30 | 1,731 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Gemini 4 ArgonlowvsGPT-6 LunamediumDeepSeek V4.1 Flash 1017maxvsGPT-6 LunamediumGPT-6 LunamediumvsGrok 4.5highLFM3-1.7BdefaultTersedia gratisvsQwen3.5-9BmediumKimi K3maxvsGPT-6 LunamediumGemini 3.5 FlashhighvsGPT-6 LunamediumClaude Haiku 5.5highvsGPT-6 LunamediumMercury 2.5nonevsLFM3-1.7BdefaultTersedia gratisGPT-6 LunamediumvsGLM 5.3 FlashX LegalhighGPT-6 LunamediumvsGLM 5.2highGPT-6 LunamediumvsParticle-1minimalLFM3-1.7BdefaultTersedia gratisvsgpt-oss-120bnone