Скорость вывода
6677.7 tok/s
6976.3 tok/s
70GLM-575.5 tok/s
7172.8 tok/s
GLM-5 by Zhipu AI is available through 122 API providers on LMSpeed. Compare API pricing from $0.0001 to $750.00 per million input tokens across providers. Free API access is offered by 3 providers. Context window: 202,752. In speed benchmarks, the fastest provider reaches 102 tok/s.
Zhipu GLM-5 is Zhipu flagship GLM series model with enhanced reasoning, agent capabilities, and strong performance on Chinese enterprise and coding scenarios.
Также известна как
Compare GLM-5 API pricing across 119 providers. Input prices range from $0.0001 to $750.00 per million input. OptAI offers the lowest rate at $0.0001/M. 3 providers offer free API credits or a free tier.
| Провайдер | Вариант модели | Аудит | Входные данные ($/M) | Выходные данные ($/M) | Скорость (т/с) | Первый токен |
|---|---|---|---|---|---|---|
PICO AI47.5% | glm-5 | — | $4.00 | $18.00 | 77.9 t/s+3% | 16.39 s |
Thorbase100% | z-ai/glm-5 | — | $0.570-43% | $1.82-43% | 42.9 t/s | 24.10 s |
Seamee API100% | GLM-5 | — | $75.00 | $75.00 | 40.5 t/s | 18.11 s |
| ZhipuAI/GLM-5 | — | $75.00 | $75.00 | — | — | |
蜜音AI100% | glm-5 | — | $75.00 | $75.00 | 36.1 t/s | 21.94 s |
V-API100% | GLM-5 | — | $0.040-96% | $0.040-99% | — | — |
| glm-5 | — | $2.80 | $12.60 | — | — | |
老张API100% | glm-5 | — | $0.537-46% | $2.42-24% | — | — |
PackyAPI100% | glm-5 | — | $0.571-43% | $2.57-20% | — | — |
柏拉图AI100% | glm-5 | — | $0.822-18% | $3.02-6% | — | — |
小水管 API100% | glm-5 | — | Бесплатно | Бесплатно | — | — |
| glm-5-chat | — | Бесплатно | Бесплатно | — | — | |
MapleLeaf API100% | glm-5 | — | $0.750-25% | $2.40-25% | — | — |
天絮 API100% | Pro/zai-org/GLM-5 | — | $7.14 | $22.86 | — | — |
钠 API100% | glm-5 | — | $0.137-86% | $0.137-96% | — | — |
VSLLM99.7% | glm-5 | — | $29.20 | $350.40 | — | — |
RenRen API99.5% | glm-5 | — | $75.00 | $75.00 | — | — |
初叶🍂Furry API98.1% | ZHIPU/GLM-5 | — | $0.050-95% | $0.050-98% | — | — |
| glm-5 | — | $0.050-95% | $0.050-98% | — | — | |
猫羽霖API76.1% | glm-5 | — | $1.00 | $3.20 | — | — |
Данные о ценах из публичных API провайдеров
Сравните производительность по скорости и задержке у всех API-провайдеров.
| Провайдер | Скорость | Задержка | Тесты |
|---|---|---|---|
Kriora glm-5 | 101.67 tok/s | 8.79s | 5 |
accounts/fireworks/models/glm-5 | 78.26 tok/s | 13.33s | 5 |
glm-5 | 77.88 tok/s | 16.39s | 5 |
glm-5 | 63.64 tok/s | 21.68s | 10 |
GLM-5 | 57.38 tok/s | 16.88s | 30 |
GLM-5 | 50.95 tok/s | 2.45s | 5 |
ollama/glm-5 | 50.42 tok/s | 17.62s | 5 |
GLM-5 | 49.53 tok/s | 5.30s | 5 |
glm-5 | 43.73 tok/s | 17.02s | 5 |
Pro/zai-org/GLM-5 | 43.56 tok/s | 27.77s | 20 |
z-ai/glm-5 | 42.85 tok/s | 24.10s | 15 |
GLM-5 | 40.53 tok/s | 18.11s | 10 |
glm-5 | 39.86 tok/s | 20.63s | 35 |
glm-5 | 37.74 tok/s | 27.52s | 5 |
glm-5 | 36.73 tok/s | 26.39s | 40 |
glm-5 | 36.15 tok/s | 21.94s | 5 |
glm-5 | 35.99 tok/s | 24.63s | 5 |
glm-5 | 34.70 tok/s | 23.13s | 10 |
glm-5 | 30.46 tok/s | 26.41s | 5 |
glm-5 | 29.62 tok/s | 47.00s | 5 |
Показано 1–20 из 21 провайдеров
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.
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.
glm-4-7
Zhipu GLM-4.7 is a flagship GLM release from Zhipu AI with advanced Chinese-English reasoning, coding, and agent features.
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.
Рейтинги основаны на тестах, предоставленных сообществом, и периодических зондах работоспособности. Носит рекомендательный характер, не является официальными данными.Artificial Analysis
