- Nafasi
- #81
- Jumla ya tokeni za matokeo
- 648,854
- Muda wa majibu (wastani)
- 88.74s
- Jumla ya gharama
- $0.000
Ling 3.1 Flash (medium) vs GPT-5.6 Terra (medium)
average score iko karibu sawa: 8.3 vs 8.2. Ling 3.1 Flash (medium) ina gharama ya chini ya benchmark: $0.000 vs $0.483. GPT-5.6 Terra (medium) ni ya haraka zaidi: 8.93s vs 88.74s, na pass rates 71.0% vs 71.0%.
Modeli zilizolinganishwa
- Nafasi
- #85
- Jumla ya tokeni za matokeo
- 33,189
- Muda wa majibu (wastani)
- 8.93s
- Jumla ya gharama
- $0.483
Muundo unaopendekezwa
GPT-5.6 Terra (medium)
It has the best score here (8.2), while responding about 9.9x faster than Ling 3.1 Flash (medium).
Ulinganisho wa kina
| Kipimo | Ling 3.1 Flash Ling 3.1 Flash medium | GPT-5.6 Terra GPT-5.6 Terra medium |
|---|---|---|
| Alama | 8.3 | 8.2 |
| Nafasi | #81 | #85 |
| Uaminifu | 9.6 | 10.0 |
| Uthabiti | 8.8 | 9.3 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 71.0% | 71.0% |
| Majaribio yasiyo thabiti | 3 | 2 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 0.000 | 5.768 |
| Jumla ya gharama | $0.000 | $0.483 |
| Bei ya ingizo | $0.000 / 1M | $2.000 / 1M |
| Bei ya toleo | $0.000 / 1M | $12.000 / 1M |
| Bei ya kusoma akiba | Haipo | $0.200 / 1M |
| Bei ya kuandika akiba | Haipo | $2.500 / 1M |
| Jumla ya tokeni za ingizo | 369,495 | 172,507 |
| Tokeni za matokeo | 172,852 | 5,824 |
| Tokeni za hoja | 476,002 | 27,365 |
| Muda wa majibu (wastani) | 88.74s | 8.93s |
| Muda wa majibu (upeo) | 567.88s | 54.74s |
| Muda wa majibu (jumla) | 2041.10s | 205.39s |
| Vigezo | 560B jumla (25B vinavyotumika) | ~1T jumla (~60B vinavyotumika) |
| Upatikanaji | Imefungwa | Imefungwa |
Bei za akiba zinahusu tokeni za ingizo. Kusoma hutumia tena maelekezo yaliyohifadhiwa; kuandika huyahifadhi na kunaweza kuongeza gharama. Tokeni za matokeo hutumia bei ya matokeo.
Onyesho la kizazi cha modeli
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#81 Ling 3.1 Flash
medium- Gharama
- $0.000
- Muda
- 101.1s
- Tokeni
- 11,607 tok
#85 GPT-5.6 Terra
medium- Gharama
- $0.035
- Muda
- 16.3s
- Tokeni
- 2,418 tok
Modeli bora kwa alama
Alama dhidi ya gharama ya jumla
Muda wa majibu (wastani)
Alama vs Muda wa majibu (wastani)
Jumla ya tokeni za matokeo
Alama vs Jumla ya tokeni za matokeo
Mgawanyo wa kategoria
| Kazi za mawakala | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 100.10s | 233,792 | 12,506 | 12,249 | |
| GPT-5.6 Terra | 10.0 | 10.0 | 100.0% | 0 | 54.74s | 93,323 | 946 | 1,894 |
| Mbinu za kupinga AI | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.24s | 750 | 1,152 | 3,396 | |
| GPT-5.6 Terra | 8.3 | 10.0 | 75.0% | 0 | 2.22s | 606 | 172 | 657 |
| Uandishi wa msimbo | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 87.15s | 8,298 | 19,577 | 62,002 | |
| GPT-5.6 Terra | 6.1 | 7.2 | 55.6% | 1 | 7.19s | 7,302 | 427 | 4,527 |
| Mchanganyiko | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 6.6 | 9.1 | 50.0% | 0 | 306.46s | 106,402 | 26,806 | 100,471 | |
| GPT-5.6 Terra | 10.0 | 10.0 | 100.0% | 0 | 11.10s | 55,976 | 3,212 | 2,122 |
| Uchanganuzi na uchimbaji wa data | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 20.92s | 8,016 | 1,334 | 3,754 | |
| GPT-5.6 Terra | 10.0 | 10.0 | 100.0% | 0 | 872ms | 7,140 | 222 | 0 |
| Mahususi kwa domeni | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 2.9 | 7.2 | 11.1% | 1 | 262.25s | 837 | 100,307 | 228,869 | |
| GPT-5.6 Terra | 5.3 | 10.0 | 33.3% | 0 | 21.52s | 732 | 70 | 13,846 |
| Akili ya jumla | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 5.3 | 10.0 | 0.0% | 0 | 7.28s | 546 | 152 | 1,820 | |
| GPT-5.6 Terra | 5.5 | 10.0 | 0.0% | 0 | 2.37s | 477 | 133 | 144 |
| Ufuataji wa maagizo | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 9.8 | 10.0 | 100.0% | 0 | 3.57s | 744 | 323 | 1,317 | |
| GPT-5.6 Terra | 10.0 | 10.0 | 100.0% | 0 | 1.43s | 660 | 89 | 261 |
| Utatuzi wa mafumbo | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 8.2 | 7.2 | 88.9% | 1 | 42.32s | 747 | 5,455 | 40,080 | |
| GPT-5.6 Terra | 8.4 | 7.4 | 88.9% | 1 | 3.78s | 642 | 272 | 1,462 |
| Mwito wa zana | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 2.8 | 2.1 | 33.3% | 1 | 47.17s | 9,135 | 3,850 | 12,018 | |
| GPT-5.6 Terra | 10.0 | 10.0 | 100.0% | 0 | 5.09s | 5,454 | 254 | 246 |
| Maarifa ya jumla | Alama | Uthabiti | Kiwango cha kupita kwa kila jaribio | Majaribio yasiyo thabiti | Majaribio sahihi | Muda wa majibu (wastani) | Tokeni za ingizo | Tokeni za matokeo | Tokeni za hoja |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.1 Flash | 3.0 | 10.0 | 0.0% | 0 | 32.55s | 228 | 1,390 | 10,026 | |
| GPT-5.6 Terra | 3.0 | 10.0 | 0.0% | 0 | 10.05s | 195 | 27 | 2,206 |
Ulinganisho wa haraka
Badilisha jozi ya ulinganisho
Ling 3.1 FlashmediumvsGrok 4.5highGPT-5.6 TerramediumvsGrok 4.5highLing 3.1 FlashmediumvsKimi K3maxGemini 3.5 FlashhighvsLing 3.1 FlashmediumLing 3.1 FlashmediumvsGPT-5.6 TerrahighKimi K3maxvsGPT-5.6 TerramediumGemini 3.5 FlashhighvsGPT-5.6 TerramediumSeed-2.0-CodelowvsGPT-5.6 TerramediumLing 3.1 FlashmediumvsGLM 5.2highDeepSeek V4 Flash 0731highvsLing 3.1 FlashmediumSeed-2.0-CodelowvsLing 3.1 FlashmediumGPT-5.6 TerramediumvsGLM 5.2high