Discover free LLM API models across providers with real speed and latency benchmarks.Free models 2773Providers 157Free offerings 8806
| Model | Providers | Speed | Latency | Tests |
|---|---|---|---|---|
ReasoningToolsFilesVisionGPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token... | 兔子API初叶🍂Furry APIMoyanjdc API +38 moreShow fewerFuture HubHigobs APIllm-2-apiKterna丰思理 AIVenlacy933999 APICan APIHotaruAPI情酱的API站天宫造物Codex Easy丸美小沐写作丸美小沐MagicAI艾可APIAIO通用智能服务平台Huainova 公益站Xiao WanLiunew APIAIsaDeepRouterZetaTechs APISmart APISwifllyLLMKJK APITommyLam API毫秒APIDibin84 API HubQQ CodeRinkoAICHB APIHank Workspace APISoul 公益站逆龙傲公益站APIKEY 公益站AI APIMyNav AI | N/A | N/A | 0 |
gpt-5.5OpenAIFree ReasoningToolsFilesVision | 40.54 t/s | 6.70 s | 105 | |
nvidia/nemotron-3-nano-omni-30b-a3b-reasoningFree | 185.02 t/s | 3.37 s | 10 | |
tokeness/freeFree <tokeness-text lang="zh">免费</tokeness-text><tokeness-text lang="en">Free</tokeness-text> | 79.17 t/s | 1.52 s | 5 | |
kimi-k2.6MoonshotFree | 25.99 t/s | 29.57 s | 5 | |
claude-3-haiku-allClaudeFree 文本 | N/A | N/A | 0 | |
claude-3-7-sonnet-latestClaudeFree 文本 | N/A | N/A | 0 | |
claude-3-opus-20240229AnthropicFree ToolsFilesVision200K | N/A | N/A | 0 | |
agent-freeFree 免费 | N/A | N/A | 0 | |
THUDM/GLM-4.1V-9B-Thinking智谱Free | N/A | N/A | 0 | |
claude-3-5-sonnet-20240620AnthropicFree ToolsFilesVision200K | N/A | N/A | 0 | |
claude-3-7-sonnet-20250219AnthropicFree ReasoningToolsFilesVision | N/A | N/A | 0 | |
claude-3-haiku-20241022ClaudeFree 文本 | N/A | N/A | 0 | |
claude-3-5-haiku-20241022AnthropicFree ToolsFilesVision200K | N/A | N/A | 0 | |
agnes-1.5-flashFree | N/A | N/A | 0 | |
Cursor-c4ClaudeFree 文本 | N/A | N/A | 0 | |
LongCat-2.0Free | N/A | N/A | 0 | |
PaddlePaddle/PaddleOCR-VL-1.5SiliconFlow (China)Free FilesOpen WeightsVision16.4K | N/A | N/A | 0 | |
Cursor-co4ClaudeFree 文本 | N/A | N/A | 0 | |
Qwen/Qwen2.5-Coder-7B-Instruct阿里巴巴Free | N/A | N/A | 0 | |
[free]DeepSeek-V3.2DeepSeekFree | N/A | N/A | 0 | |
adept/fuyu-8bFree | N/A | N/A | 0 | |
ai-synthetic-video-detectorFree | N/A | N/A | 0 | |
bigcode/starcoder2-15bFree | N/A | N/A | 0 | |
big-pickleopencode zenFree ReasoningTools200K | N/A | N/A | 0 | |
claude-3-5-sonnet-latestClaudeFree 文本 | N/A | N/A | 0 | |
claude-3-5-haiku-latestClaudeFree 文本 | N/A | N/A | 0 | |
claude-3-haiku-20240307AnthropicFree 文本 | N/A | N/A | 0 | |
chatglm_turbo智谱Free | N/A | N/A | 0 | |
claude-2ClaudeFree 文本 | N/A | N/A | 0 | |
Doubao-1.5-vision-pro-32k字节跳动Free | N/A | N/A | 0 | |
Doubao-1.5-pro-32k字节跳动Free | N/A | N/A | 0 | |
FLUX.1-Kontext-proFree | N/A | N/A | 0 | |
BAAI/bge-m3Free | N/A | N/A | 0 | |
Kwai-Kolors/KolorsFree | N/A | N/A | 0 | |
K2.7Free | N/A | N/A | 0 | |
Cursor-c37ClaudeFree 文本 | N/A | N/A | 0 | |
Cursor-c37-thinkingClaudeFree 文本 | N/A | N/A | 0 | |
01-ai/yi-large零一万物Free | N/A | N/A | 0 | |
Cursor-c4-thinkingClaudeFree 文本 | N/A | N/A | 0 | |
Qwen/Qwen2.5-7B-InstructSiliconFlow (China)Free Tools33K | N/A | N/A | 0 | |
Cursor-co4-thinkingClaudeFree 文本 | N/A | N/A | 0 | |
THUDM/GLM-Z1-9B-0414SiliconFlow (China)Free ReasoningTools131K | N/A | N/A | 0 | |
[0]前往QQ群签到免费领鱼干DeepSeekFree | N/A | N/A | 0 | |
[free]DeepSeek-V4-FlashDeepSeekFree | N/A | N/A | 0 | |
abab5.5-chatMiniMaxFree | N/A | N/A | 0 | |
7eapi-1Free | N/A | N/A | 0 | |
Doubao-1.5-lite-32k字节跳动Free | N/A | N/A | 0 | |
aisingapore/sea-lion-7b-instructFree | N/A | N/A | 0 | |
aura-2-esFree | N/A | N/A | 0 | |
baai/bge-m3NvidiaFree Open Weights8.2K | N/A | N/A | 0 | |
babbage-002Free | N/A | N/A | 0 | |
claude-3-5-sonnet-allClaudeFree 文本 | N/A | N/A | 0 | |
bge-m3realaiwanFree | N/A | N/A | 0 | |
bytedance/seed-oss-36b-instructFree | N/A | N/A | 0 | |
chatglm_pro智谱Free | N/A | N/A | 0 | |
chatglm_lite智谱Free | N/A | N/A | 0 | |
claude-3-7-sonnet-thinkingClaudeFree ReasoningToolsFilesVision | N/A | N/A | 0 | |
chatglm_std智谱Free | N/A | N/A | 0 | |
7eimage-2Free | N/A | N/A | 0 |
LMSpeed tracks 2773 LLM models available for free across 157 API providers. Free tiers vary by provider — some offer limited daily requests, others provide free credits for new users. All speed data is from real API tests.
Find a free model, compare its providers, then open the provider or model detail page before you start testing.
Use search, model-family filters, and capability tags to narrow the directory to the free models you actually want to try.
Check provider count, benchmark volume, throughput, and first-token latency so you are not choosing from price alone.
Review the provider page for availability, health checks, pricing notes, and any free-tier limits before building on it.
Common questions about free model tiers and how to use this directory.
A model–provider pair whose current input and output prices are both $0 per token. Some providers offer permanent free tiers, others only give one-time credits to new accounts. We mark an offering as free only while its public pricing is zero, and re-check pricing pages regularly.
Most have rate limits — requests per minute, daily caps, or context-length limits — and many require account signup with a verified phone or payment method. Some are time-limited promotions. Always read the provider's terms and quotas before depending on a free endpoint.
Some entries are community-run relays ("公益站") that bundle paid upstream keys and redistribute access for free at the operator's expense. They often advertise larger quotas and a broader model list than official free tiers, but reliability is much lower: operators can pull the plug or disappear overnight, pricing and quotas can change without notice, and many sites are invite-only — requiring a GitHub invite, a forum referral, or a closed community to register. Some keep signups disabled indefinitely. Treat them as best-effort backup channels; keep anything important on official paid endpoints.
Speed varies by model and provider. Sort the table by Most tested for the most reliable benchmarks, or pick a model family from the chips above to drill in. Each row shows median tokens per second and first-token latency from real API tests.
We send identical prompts to each provider through a five-round stress test, count output tokens with tiktoken, and measure both throughput (tokens per second) and time to first token. Numbers are aggregated as medians to resist outliers and refresh on a regular cadence.
For prototypes, side projects, and low-traffic tools, yes. Production traffic will usually hit a rate limit quickly. Treat the free tier as an evaluation channel: validate the model and provider, then move to a paid endpoint with the same model when you scale.
Either no provider currently offers it for free, the free promotion ended, or it has not been benchmarked yet. Open the model's main page to compare paid options, or let us know about a missing free provider via the feedback link in the footer.