- Nafasi
- #100
- Jumla ya tokeni za matokeo
- 1,170,181
- Muda wa majibu (wastani)
- 78.20s
- Jumla ya gharama
- $0.757
DeepSeek V4.1 Flash 1017 (max) vs Ling 3.1 Flash (medium)
average score iko karibu sawa: 8.2 vs 8.3. Ling 3.1 Flash (medium) ina gharama ya chini ya benchmark: $0.000 vs $0.757. DeepSeek V4.1 Flash 1017 (max) ni ya haraka zaidi: 78.20s vs 88.74s, na pass rates 76.8% vs 71.0%.
Modeli zilizolinganishwa
- Nafasi
- #97
- Jumla ya tokeni za matokeo
- 571,666
- Muda wa majibu (wastani)
- 88.74s
- Jumla ya gharama
- $0.000
Muundo unaopendekezwa
DeepSeek V4.1 Flash 1017 (max)
Ina alama ya juu zaidi katika ulinganisho huu (8.2) na uwiano bora zaidi wa gharama na muda wa kujibu kati ya modeli 2.
Ulinganisho wa kina
| Kipimo | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 max | Ling 3.1 Flash Ling 3.1 Flash medium |
|---|---|---|
| Alama | 8.2 | 8.3 |
| Nafasi | #100 | #97 |
| Uaminifu | 10.0 | 9.6 |
| Uthabiti | 8.2 | 8.8 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 76.8% | 71.0% |
| Majaribio yasiyo thabiti | 5 | 3 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 5.041 | 0.000 |
| Jumla ya gharama | $0.757 | $0.000 |
| Bei ya ingizo | $0.150 / 1M | $0.000 / 1M |
| Bei ya toleo | $0.600 / 1M | $0.000 / 1M |
| Bei ya kusoma akiba | $0.003 / 1M | Haipo |
| Bei ya kuandika akiba | Haipo | Haipo |
| Jumla ya tokeni za ingizo | 360,065 | 369,495 |
| Tokeni za matokeo | 7,711 | 172,852 |
| Tokeni za hoja | 1,162,470 | 476,002 |
| Muda wa majibu (wastani) | 78.20s | 88.74s |
| Muda wa majibu (upeo) | 605.14s | 567.88s |
| Muda wa majibu (jumla) | 1798.65s | 2041.10s |
| Vigezo | ~748B jumla (~16B vinavyotumika) | 560B jumla (25B vinavyotumika) |
| Upatikanaji | Chanzo huria | 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.
#100 DeepSeek V4.1 Flash 1017
max- Gharama
- $0.018
- Muda
- 135.0s
- Tokeni
- 35,163 tok
#97 Ling 3.1 Flash
medium- Gharama
- $0.000
- Muda
- 101.1s
- Tokeni
- 11,607 tok
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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 45.58s | 139,675 | 1,771 | 5,358 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 100.10s | 233,792 | 12,506 | 12,249 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 8.3 | 10.0 | 75.0% | 0 | 4.16s | 852 | 193 | 6,178 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.24s | 750 | 1,152 | 3,396 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 5.6 | 4.2 | 66.7% | 2 | 199.23s | 7,509 | 111 | 475,423 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 87.15s | 8,298 | 19,577 | 62,002 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 104.92s | 192,579 | 4,716 | 125,203 | |
| Ling 3.1 Flash | 6.6 | 9.1 | 50.0% | 0 | 306.46s | 106,402 | 26,806 | 100,471 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.99s | 7,446 | 207 | 1,323 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 20.92s | 8,016 | 1,334 | 3,754 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 5.9 | 7.2 | 55.6% | 1 | 260.29s | 909 | 11 | 487,376 | |
| Ling 3.1 Flash | 2.9 | 7.2 | 11.1% | 1 | 262.25s | 837 | 100,307 | 228,869 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 3.52s | 549 | 128 | 1,020 | |
| Ling 3.1 Flash | 5.3 | 10.0 | 0.0% | 0 | 7.28s | 546 | 152 | 1,820 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.73s | 783 | 69 | 1,223 | |
| Ling 3.1 Flash | 9.8 | 10.0 | 100.0% | 0 | 3.57s | 744 | 323 | 1,317 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 6.3 | 4.9 | 66.7% | 2 | 12.29s | 828 | 247 | 17,864 | |
| Ling 3.1 Flash | 8.2 | 7.2 | 88.9% | 1 | 42.32s | 747 | 5,455 | 40,080 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.43s | 8,674 | 237 | 349 | |
| Ling 3.1 Flash | 2.8 | 2.1 | 33.3% | 1 | 47.17s | 9,135 | 3,850 | 12,018 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 97.77s | 261 | 21 | 41,153 | |
| Ling 3.1 Flash | 3.0 | 10.0 | 0.0% | 0 | 32.55s | 228 | 1,390 | 10,026 |
Ulinganisho wa haraka
Badilisha jozi ya ulinganisho
DeepSeek V4.1 Flash 1017maxvsGemini 4 ArgonlowDeepSeek V4.1 Flash 1017maxvsGrok 4.5highDeepSeek V4.1 Flash 1017maxvsGLM 5.2mediumGemini 4 ArgonlowvsLing 3.1 FlashmediumDeepSeek V4.1 Flash 1017maxvsQwen3.7 PlusmediumLing 3.1 FlashmediumvsGrok 4.5highDeepSeek V4.1 Flash 1017maxvsGPT-5.6 TerramediumClaude Opus 4.8mediumvsDeepSeek V4.1 Flash 1017maxDeepSeek V4.1 Flash 1017maxvsGPT-6 LunamediumLing 3.1 FlashmediumvsKimi K3maxGemini 3.5 FlashhighvsLing 3.1 FlashmediumClaude Haiku 5.5highvsLing 3.1 Flashmedium