Скорость вывода
43114.8 tok/s
44109.6 tok/s
45GLM-4.7107.0 tok/s
47105.6 tok/s
GLM-4.7 is available through 98 API providers on LMSpeed. Compare API pricing from $0.0001 to $34965.00 per million input tokens across providers. Free API access is offered by 1 provider. Context window: 202,752. In speed benchmarks, the fastest provider reaches 420 tok/s.
Zhipu GLM-4.7 is a flagship GLM release from Zhipu AI with advanced Chinese-English reasoning, coding, and agent features.
Также известна как
Compare GLM-4.7 API pricing across 97 providers. Input prices range from $0.0001 to $34965.00 per million input. OptAI offers the lowest rate at $0.0001/M. 1 provider offers free API credits or a free tier.
| Провайдер | Вариант модели | Аудит | Входные данные ($/M) | Выходные данные ($/M) | Скорость (т/с) | Первый токен |
|---|---|---|---|---|---|---|
WONG公益站100% | GLM-4.7 | — | $0.479-20% | $1.92-13% | 45.3 t/s | 4.68 s |
V-API100% | GLM-4.7 | — | $0.040-93% | $0.040-98% | — | — |
| glm-4.7 | — | $1.40 | $5.60 | — | — | |
老张API100% | glm-4.7 | — | $0.575-4% | $2.07-6% | — | — |
柏拉图AI100% | glm-4.7 | — | $0.411-32% | $1.92-13% | — | — |
PackyAPI100% | glm-4.7 | — | $0.571-5% | $2.29 | — | — |
小水管 API100% | glm-4.7 | — | Бесплатно | Бесплатно | — | — |
MapleLeaf API100% | glm-4.7 | — | $0.270-55% | $1.10-50% | — | — |
天絮 API100% | Pro/zai-org/GLM-4.7 | — | $4.29 | $15.71 | — | — |
钠 API100% | glm-4.7 | — | $0.137-77% | $0.137-94% | — | — |
涵冰API99.9% | glm-4.7 | — | $0.020-97% | $0.040-98% | — | — |
RenRen API99.5% | glm-4.7 | — | $75.00 | $75.00 | — | — |
初叶🍂Furry API98.1% | glm-4.7 | — | $0.050-92% | $0.050-98% | — | — |
猫羽霖API75.9% | glm-4.7 | — | $0.600 | $2.20 | — | — |
素墨API100% | glm-4.7 | — | $0.010-98% | $0.010-100% | — | — |
| glm-4.7-free | — | $0.010-98% | $0.010-100% | — | — | |
AAAI100% | GLM-4.7 | — | $0.040-93% | $0.040-98% | — | — |
| glm-4.7 | — | $1.40 | $5.60 | — | — | |
TradingBase API100% | glm-4.7 | — | $0.267-55% | $1.18-47% | — | — |
FineOneAPI100% | glm-4.7 | — | $0.270-55% | $1.10-50% | — | — |
Данные о ценах из публичных API провайдеров
Сравните производительность по скорости и задержке у всех API-провайдеров.
| Провайдер | Скорость | Задержка | Тесты |
|---|---|---|---|
Medu Chat glm-4.7 | 420.37 tok/s | 2.87s | 10 |
zai-glm-4.7 | 400.04 tok/s | 3.57s | 5 |
翻译/glm-4.7 | 308.58 tok/s | 3.72s | 5 |
GLM-4.7 | 134.12 tok/s | 1.16s | 15 |
glm-4.7 | 112.93 tok/s | 8.90s | 5 |
zai-org/GLM-4.7 | 74.72 tok/s | 16.10s | 5 |
glm-4.7 | 64.10 tok/s | 7.68s | 5 |
Pro/zai-org/GLM-4.7 | 62.27 tok/s | 16.76s | 30 |
glm-4.7 | 52.46 tok/s | 17.22s | 10 |
zai-glm-4.7 | 47.80 tok/s | 41.22s | 5 |
GLM-4.7 | 45.33 tok/s | 4.68s | 5 |
glm-4.7 | 41.55 tok/s | 24.44s | 25 |
glm-4-7-251222 | 39.39 tok/s | 27.71s | 29 |
GLM-4.7 | 38.95 tok/s | 32.32s | 5 |
glm-4.7 | 35.48 tok/s | 30.50s | 5 |
GLM-4.7 | 35.43 tok/s | 31.81s | 5 |
GLM-4.7 | 23.53 tok/s | 23.07s | 5 |
GLM-4.7 | 22.19 tok/s | 43.53s | 5 |
Показано 1–18 из 18 провайдеров
glm-5
Zhipu GLM-5 is Zhipu flagship GLM series model with enhanced reasoning, agent capabilities, and strong performance on Chinese enterprise and coding scenarios.
kimi-k2-5
Moonshot Kimi K2.5 is an open-weight multimodal agent model with native vision and text input, strong coding performance, and a 256K context window.
glm-5-1
Zhipu GLM-5.1 is a next-generation GLM model aimed at frontier reasoning, coding, and bilingual agent applications.
gpt-5-4
OpenAI GPT-5.4 extends the GPT-5 family with stronger instruction following, deeper tool use, and improved performance on coding, math, and long-document analysis.
deepseek-v3-2
DeepSeek V3.2 is an upgraded V3-series MoE model with stronger reasoning, coding, and math performance, widely available through OpenAI-compatible API relays.
minimax-m2-5
MiniMax M2.5 is MiniMax's flagship text model for coding and agents, with SOTA-level programming and agentic performance, improved token efficiency, and fast high-TPS API deployment.
Рейтинги основаны на тестах, предоставленных сообществом, и периодических зондах работоспособности. Носит рекомендательный характер, не является официальными данными.Artificial Analysis
