Access friction
Provider-specific signup, language, region, and payment flows slow down teams that simply need to test Chinese LLM routes.
Chinese LLM API guide
GPTokens gives global developers one OpenAI-compatible API key for testing Chinese LLM models, comparing benchmark signals, and routing production workloads.
Buyer problem
Provider-specific signup, language, region, and payment flows slow down teams that simply need to test Chinese LLM routes.
GPTokens puts DeepSeek, Qwen, Kimi, GLM, MiniMax, and MiMo candidates behind one model directory and benchmark framework.
One workspace, balance, API key pattern, usage view, and OpenAI-compatible endpoint reduce operational overhead.
Provider guide
GPTokens gives global developers a single OpenAI-compatible endpoint for DeepSeek routes, workspace billing, usage tracking, and model switching.
Qwen API gatewayGPTokens makes Qwen API testing practical for global teams that want strong structured output, tool calling, and affordable production experiments.
Kimi API accessKimi routes are useful for teams comparing Chinese LLMs for long-context workflows, coding support, and cost-sensitive automation.
GLM API gatewayGLM 5.2 reached the first tier in the GPTokens benchmark set, with strong structured output, instruction following, data extraction, and tool calling.
MiniMax API accessGPTokens helps teams evaluate MiniMax models next to other Chinese LLM APIs using one OpenAI-compatible endpoint and consistent benchmark notes.
Doubao API accessGPTokens gives global teams a practical path to test Doubao alongside DeepSeek, Qwen, Kimi, GLM, MiniMax, and MiMo without managing every provider account separately.
Moonshot API accessGPTokens helps teams test Moonshot and Kimi-family routes next to other Chinese LLM providers using one billing account and one API integration pattern.
Zhipu GLM APIGPTokens makes GLM routes easier to test for global developers by combining OpenAI-compatible access, one workspace, and benchmark-backed model pages.
Gateway alternativeGPTokens focuses on Chinese LLM access, model comparison, and OpenAI-compatible routing for developers who need a dedicated Chinese model token workflow.
Gateway alternativeGPTokens gives global developers another way to test Chinese LLM routes through one API key, one workspace, and model pages built for route selection.
Model comparison
| Model | Total /100 | Extraction | Instructions | Math | Tools | Fully correct | Tokens | Cost (USD) | CPS ($/100 points) |
|---|---|---|---|---|---|---|---|---|---|
glm-5.3glm-5.3 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 60/60 | 112,333 | $0.169500 | $0.169500 |
hy3hy3 | 99.89 | 99.56 | 100.00 | 100.00 | 100.00 | 59/60 | 134,645 | $0.033956 | $0.033994 |
hy4-previewhy4-preview | 99.89 | 99.56 | 100.00 | 100.00 | 100.00 | 59/60 | 224,023 | $0.320884 | $0.321241 |
deepseek-flashdeepseek-flash | 99.85 | 99.39 | 100.00 | 100.00 | 100.00 | 58/60 | 124,027 | $0.051406 | $0.051485 |
GLM 5.2glm-5.2 | 99.58 | 98.33 | 100.00 | 100.00 | 100.00 | 59/60 | 104,610 | $0.165644 | $0.166337 |
deepseek-v4-flash-vision-expdeepseek-v4-flash-vision-exp | 99.54 | 98.17 | 100.00 | 100.00 | 100.00 | 59/60 | 117,481 | $0.047870 | $0.048090 |
kimi-k3kimi-k3 | 99.54 | 98.17 | 100.00 | 100.00 | 100.00 | 59/60 | 101,369 | $0.520768 | $0.523166 |
muse-spark-1.3-contributormuse-spark-1.3-contributor | 99.54 | 98.17 | 100.00 | 100.00 | 100.00 | 59/60 | 166,481 | $0.021288 | $0.021386 |
deepseek-v4.1-flashdeepseek-v4.1-flash | 99.43 | 97.72 | 100.00 | 100.00 | 100.00 | 58/60 | 120,245 | $0.044390 | $0.044644 |
MiMo v2.5mimo-v2.5 | 99.08 | 98.33 | 100.00 | 100.00 | 98.00 | 58/60 | 139,879 | $0.017690 | $0.017854 |
muse-spark-1.2-contributormuse-spark-1.2-contributor | 99.04 | 98.17 | 100.00 | 100.00 | 98.00 | 58/60 | 173,238 | $0.017496 | $0.017665 |
DeepSeek v4 Prodeepseek-v4-pro | 99.00 | 98.33 | 98.67 | 99.00 | 100.00 | 57/60 | 116,757 | $0.145106 | $0.146572 |
glm-5.3-flashglm-5.3-flash | 99.00 | 98.33 | 98.33 | 100.00 | 99.33 | 57/60 | 91,955 | $0.017806 | $0.017986 |
longcat-2.5-preview-freelongcat-2.5-preview-free | 98.93 | 97.72 | 100.00 | 98.00 | 100.00 | 56/60 | 120,513 | $0 | $0 |
qwen3.8-maxqwen3.8-max | 98.83 | 100.00 | 100.00 | 100.00 | 95.33 | 59/60 | 89,876 | $0.255058 | $0.258069 |
space-bunnyspace-bunny | 98.79 | 99.83 | 97.33 | 100.00 | 98.00 | 56/60 | 115,251 | $0.020420 | $0.020670 |
MiMo v2.5 Promimo-v2.5-pro | 98.57 | 96.93 | 100.00 | 100.00 | 97.33 | 52/60 | 140,480 | $0.048874 | $0.049585 |
kimi-k2.7-codekimi-k2.7-code | 98.50 | 100.00 | 100.00 | 100.00 | 94.00 | 59/60 | 85,086 | $0.127630 | $0.129574 |
mimo-v2.6-flashmimo-v2.6-flash | 98.33 | 100.00 | 100.00 | 95.33 | 98.00 | 58/60 | 93,870 | $0.009242 | $0.009399 |
space-bunny-freespace-bunny-free | 98.19 | 98.41 | 98.33 | 98.00 | 98.00 | 53/60 | 114,003 | $0 | $0 |
gpt-6-lunagpt-6-luna | 98.06 | 97.89 | 100.00 | 94.33 | 100.00 | 56/60 | 56,744 | $0.011290 | $0.011514 |
longcat-2.0longcat-2.0 | 97.88 | 91.50 | 100.00 | 100.00 | 100.00 | 58/60 | 121,868 | $0.057866 | $0.059122 |
qwen3.8-flashqwen3.8-flash | 97.72 | 99.56 | 100.00 | 100.00 | 91.33 | 57/60 | 134,617 | $0.028436 | $0.029099 |
gpt-5.6-lunagpt-5.6-luna | 97.42 | 98.33 | 98.67 | 100.00 | 92.67 | 55/60 | 56,458 | $0.025712 | $0.026394 |
grok-4.6grok-4.6 | 96.67 | 100.00 | 100.00 | 100.00 | 86.67 | 58/60 | 171,579 | $0.740338 | $0.765867 |
grok-4.7grok-4.7 | 96.67 | 100.00 | 100.00 | 100.00 | 86.67 | 58/60 | 261,418 | $0.772028 | $0.798650 |
mimo-v2.6-promimo-v2.6-pro | 96.64 | 97.56 | 97.00 | 100.00 | 92.00 | 54/60 | 96,500 | $0.033242 | $0.034398 |
MiniMax M2.7minimax-m2.7 | 95.38 | 97.53 | 100.00 | 84.00 | 100.00 | 55/60 | 88,510 | $0.062790 | $0.065829 |
Qwen 3.7 Plusqwen3.7-plus | 92.72 | 99.56 | 100.00 | 72.00 | 99.33 | 52/60 | 122,334 | $0.116596 | $0.125748 |
MiniMax M3minimax-m3 | 85.88 | 92.96 | 86.89 | 76.33 | 87.33 | 43/60 | 32,257 | $0.010676 | $0.012432 |
BenchLocal V3.2 · Original 27 models: 2 October 2026; three full-suite supplements: 15 October 2026 · 60 tasks per model. Total = mean of the four category scores. The original models retain 45 V3 tasks and 15 revised tool tasks; the three additional model IDs each completed all 60 identical tasks. Near-ceiling scores do not establish general capability; V3 scores are not directly comparable. CPS = Cost per Score; shown as USD per 100 score points: retained execution cost ÷ unrounded total score × 100. Free models are shown at $0. Paid-model costs are historical charges, excluding failed requests and discarded retests.
OpenAI-compatible request
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.GPTOKENS_API_KEY,
baseURL: "https://gptokens.ai/v1"
});
const response = await client.chat.completions.create({
model: "deepseek-v4-pro",
messages: [{ role: "user", content: "Compare Chinese LLM routes for my task." }]
});FAQ
No. GPTokens is an independent OpenAI-compatible gateway. It issues GPTokens API keys and routes requests to supported Chinese LLM providers through one account.
Yes. Most integrations only need the GPTokens base URL, a GPTokens API key, and a supported model name from the live model list.
GPTokens is built for developers and teams in the US, Europe, and other global markets that want to test Chinese LLM APIs without managing separate provider accounts, payment methods, and dashboards.
Use the model pages for planning, then call /v1/models before production. Availability, routing, context windows, and price can change as providers update models.