DeepInfra
Explore DeepInfra models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
DeepInfradeepinfra
No provider claim| Provider | DeepInfra |
|---|---|
| Provider website | https://deepinfra.com/ |
| Models | 95 public models |
| Prepaid routes | 90 |
| BYOK routes | 94 |
| Zero data retention | no |
| Confidential compute | not claimed |
| Provider E2EE | not claimed |
| Policy note | Tracked as no-store, not strict ZDR. DeepInfra documents memory-only handling and no training for ordinary inference, but reserves the right to log a small portion of requests for debugging or security. Google- and Anthropic-backed routes also inherit those vendors' terms. Policy source |
Measured performance
92 samplesContinuously sampled across DeepInfra's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.
| p50 TTFT | 3743 ms |
|---|---|
| Effective throughput | 27 tok/s n=21 |
| Uptime | 98.91% |
| Model | p50 TTFT | p50 TTFB | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|---|
| deepseek/deepseek-v4-flash-0731 | 6216 ms | 1904 ms | 25 tok/s n=1 | 100.00% | — | 14 |
| google/gemma-3-27b-it | 677 ms | 677 ms | — | 100.00% | — | 2 |
| qwen/qwen3-vl-30b-a3b-instruct | 761 ms | 761 ms | — | 100.00% | — | 2 |
| nvidia/nemotron-3-nano-30b-a3b | 916 ms | 915 ms | — | 100.00% | — | 3 |
| nvidia/nemotron-3.5-lightning | 941 ms | 941 ms | 82 tok/s n=1 | 100.00% | — | 2 |
| mistralai/mistral-small-24b-instruct-2501 | 976 ms | 976 ms | — | 100.00% | — | 2 |
| sao10k/l3-8b-lunaris-v1-turbo | 1190 ms | 1190 ms | — | 100.00% | — | 1 |
| bytedance/seed-2.0-mini | 1414 ms | 1414 ms | — | 100.00% | — | 2 |
| moonshotai/kimi-k3 | 1464 ms | 1464 ms | 16 tok/s n=1 | 100.00% | — | 1 |
| qwen/qwen3-next-80b-a3b-instruct | 1500 ms | 1500 ms | — | 100.00% | — | 2 |
| google/gemma-4-26b-a4b-it | 1669 ms | 1668 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-r1-0528 | 2459 ms | 2459 ms | — | 100.00% | — | 4 |
| google/gemma-4-31b-it | 2482 ms | 2481 ms | 16 tok/s n=1 | 100.00% | — | 1 |
| google/gemma-4-31b-it-turbo | 3013 ms | 3013 ms | — | 100.00% | — | 2 |
| minimax/minimax-m3 | 3067 ms | 3067 ms | 17 tok/s n=2 | 100.00% | — | 4 |
| z-ai/glm-4.6 | 3417 ms | 3416 ms | — | 100.00% | — | 3 |
| meta-llama/llama-4-scout-17b-16e-instruct | 3743 ms | 3743 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v3.2 | 3842 ms | 3842 ms | — | 100.00% | — | 1 |
| qwen/qwen3.5-35b-a3b | 3844 ms | 3844 ms | — | 100.00% | — | 1 |
| google/gemma-4-e4b-it | 3923 ms | 3923 ms | — | 100.00% | — | 1 |
| z-ai/glm-4.7 | 4064 ms | 4064 ms | — | 100.00% | — | 1 |
| meta-llama/llama-guard-4-12b | 4080 ms | 4079 ms | — | 100.00% | — | 1 |
| meta-llama/llama-3.1-70b-instruct | 4103 ms | — | — | 100.00% | — | 3 |
| microsoft/phi-4 | 4138 ms | 4138 ms | — | 100.00% | — | 2 |
| minimax/minimax-m2.7 | 4209 ms | 4209 ms | — | 100.00% | — | 2 |
| qwen/qwen3.6-35b-a3b | 4232 ms | 4231 ms | — | 100.00% | — | 2 |
| qwen/qwen3.5-397b-a17b | 4261 ms | 4261 ms | — | 100.00% | — | 1 |
| qwen/qwen3-vl-235b-a22b-instruct | 4319 ms | 4319 ms | — | 100.00% | — | 1 |
| thinkingmachines/inkling-small | 4363 ms | 4363 ms | 27 tok/s n=1 | 100.00% | — | 1 |
| qwen/qwen2.5-72b-instruct | 4582 ms | 4582 ms | — | 100.00% | — | 1 |
| bytedance/seed-2.0-code | 4631 ms | 4630 ms | — | 100.00% | — | 1 |
| google/gemma-4-31b-it-ultra | 5622 ms | 5621 ms | — | 100.00% | — | 1 |
| qwen/qwen3.7-max | 6244 ms | 6244 ms | 77 tok/s n=1 | 100.00% | — | 1 |
| google/gemini-3.1-pro | 6262 ms | 6262 ms | — | 100.00% | — | 1 |
| bytedance/seed-2.0-pro | — | — | — | 100.00% | — | 2 |
| gryphe/mythomax-l2-13b | — | — | — | 100.00% | — | 1 |
| meta-models/muse-glimmer-30b | — | — | — | 100.00% | — | 1 |
| mistralai/mistral-nemo-instruct-2407 | — | — | — | 100.00% | — | 2 |
| nousresearch/hermes-3-llama-3.1-405b | — | — | — | 100.00% | — | 2 |
| nvidia/nemotron-3-ultra-550b-a55b | — | — | 15 tok/s n=1 | 100.00% | — | 2 |
| openai/gpt-oss-120b | — | — | 40 tok/s n=1 | 100.00% | — | 2 |
| qwen/qwen3-max | — | — | — | 100.00% | — | 1 |
| qwen/qwen3-max-thinking | — | — | — | 100.00% | — | 1 |
| stepfun-ai/step-3.7-flash | — | — | — | 100.00% | — | 1 |
| tencent/hy3 | — | — | — | 100.00% | — | 2 |
| thinkingmachines/inkling | — | — | 10 tok/s n=1 | 100.00% | — | 2 |
| qwen/qwen3-235b-a22b-thinking-2507 | 3055 ms | 3054 ms | — | 75.00% | — | 4 |
| deepseek/deepseek-v4-flash | — | — | 39 tok/s n=2 | — | — | 0 |
| deepseek/deepseek-v4-pro-0423 | — | — | 19 tok/s n=2 | — | — | 0 |
| google/gemini-3.7-flash | — | — | 51 tok/s n=1 | — | — | 0 |
| inclusionai/ling-3.0-flash | — | — | 55 tok/s n=1 | — | — | 0 |
| moonshotai/kimi-k2.6 | — | — | 22 tok/s n=1 | — | — | 0 |
| qwen/qwen3.8-2.4t-a95b | — | — | 39 tok/s n=1 | — | — | 0 |
| z-ai/glm-5.2 | — | — | 52 tok/s n=2 | — | — | 0 |
DeepInfra performance history · Full provider & model leaderboard.
Models served by DeepInfra.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Endpoints | Prompt | Completion | Routes |
|---|---|---|---|---|---|---|
Qwen/Qwen3-Embedding-8BQwen3 Embedding 8B |
— | 32,000 | 2 | $0.01055/1M | selected route | prepaid BYOK |
anthropic/claude-haiku-4-5anthropic/claude-haiku-4-5 |
— | 200,000 | 1 | $1.055/1M | $5.275/1M | BYOK |
anthropic/claude-opus-4-7anthropic/claude-opus-4-7 |
— | 1,000,000 | 1 | $5.275/1M | $26.375/1M | BYOK |
anthropic/claude-opus-4-8anthropic/claude-opus-4-8 |
— | 1,000,000 | 1 | $5.275/1M | $26.375/1M | BYOK |
anthropic/claude-opus-5Claude Opus 5 |
IQ 134#3 | 1,000,000 | 1 | $5.275/1M | $26.375/1M | BYOK |
anthropic/claude-sonnet-4-6anthropic/claude-sonnet-4-6 |
— | 1,000,000 | 1 | $3.165/1M | $15.825/1M | BYOK |
bytedance/seed-1.8ByteDance/Seed-1.8 |
— | 256,000 | 2 | $0.26375/1M | $2.11/1M | prepaid BYOK |
bytedance/seed-2.0-codeByteDance/Seed-2.0-code |
— | 256,000 | 2 | $0.5275/1M | $3.165/1M | prepaid BYOK |
bytedance/seed-2.0-miniByteDance/Seed-2.0-mini |
— | 256,000 | 2 | $0.1055/1M | $0.422/1M | prepaid BYOK |
bytedance/seed-2.0-proByteDance/Seed-2.0-pro |
— | 256,000 | 2 | $0.5275/1M | $3.165/1M | prepaid BYOK |
deepseek/deepseek-r1-0528DeepSeek: R1 0528 |
— | 163,840 | 2 | $0.5275/1M | $2.26825/1M | prepaid BYOK |
deepseek/deepseek-v3deepseek-ai/DeepSeek-V3 |
— | 163,840 | 2 | $0.3376/1M | $0.93895/1M | prepaid BYOK |
deepseek/deepseek-v3-0324DeepSeek V3 0324 |
— | 163,840 | 2 | $0.2532/1M | $0.9495/1M | prepaid BYOK |
deepseek/deepseek-v3.1DeepSeek V3.1 |
IQ 96#88 | 131,072 | 2 | $0.26375/1M | $1.00225/1M | prepaid BYOK |
deepseek/deepseek-v3.2DeepSeek: DeepSeek V3.2 |
IQ 103#64 | 163,840 | 2 | $0.2743/1M | $0.4009/1M | prepaid BYOK |
deepseek/deepseek-v4-flashDeepSeek: DeepSeek V4 Flash 0423 |
IQ 113#41 | 1,048,576 | 2 | $0.09495/1M | $0.1899/1M | prepaid BYOK |
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | 2 | $0.0844/1M | $0.1899/1M | prepaid BYOK |
deepseek/deepseek-v4-proDeepSeek: DeepSeek V4 Pro |
IQ 117#31 | 1,048,576 | 2 | $1.3715/1M | $2.743/1M | prepaid BYOK |
deepseek/deepseek-v4-pro-0423DeepSeek V4 Pro 0423 |
— | 1,048,576 | 1 | $1.3715/1M | $2.743/1M | prepaid |
google/gemini-2.5-flashGoogle: Gemini 2.5 Flash |
— | 1,048,576 | 2 | $0.3165/1M | $2.6375/1M | prepaid BYOK |
google/gemini-2.5-proGoogle: Gemini 2.5 Pro |
IQ 103#65 | 1,048,576 | 2 | $1.31875/1M | $10.55/1M | prepaid BYOK |
google/gemini-3.1-flash-liteGoogle: Gemini 3.1 Flash Lite |
IQ 101#72 | 1,048,576 | 2 | $0.26375/1M | $1.5825/1M | prepaid BYOK |
google/gemini-3.1-progoogle/gemini-3.1-pro |
IQ 127#10 | 1,000,000 | 2 | $2.11/1M | $12.66/1M | prepaid BYOK |
google/gemini-3.7-flashGoogle: Gemini 3.7 Flash |
IQ 122#17 | 1,048,576 | 2 | $0.79125/1M | $3.95625/1M | prepaid BYOK |
google/gemma-3-12b-itGoogle: Gemma 3 12B |
— | 131,072 | 2 | $0.05275/1M | $0.15825/1M | prepaid BYOK |
google/gemma-3-27b-itGoogle: Gemma 3 27B |
— | 262,144 | 2 | $0.0844/1M | $0.1688/1M | prepaid BYOK |
google/gemma-3-4b-itGoogle: Gemma 3 4B |
— | 131,072 | 2 | $0.05275/1M | $0.1055/1M | prepaid BYOK |
google/gemma-4-26b-a4b-itGoogle: Gemma 4 26B A4B |
IQ 96#89 | 262,144 | 2 | $0.07385/1M | $0.3587/1M | prepaid BYOK |
google/gemma-4-31b-itGoogle: Gemma 4 31B |
IQ 101#73 | 262,144 | 2 | $0.13715/1M | $0.4009/1M | prepaid BYOK |
google/gemma-4-31b-it-turbogoogle/gemma-4-31B-it-turbo |
— | 262,144 | 2 | $0.09495/1M | $0.3587/1M | prepaid BYOK |
google/gemma-4-31b-it-ultragoogle/gemma-4-31B-it-Ultra |
— | 131,072 | 2 | $0.28485/1M | $0.8018/1M | prepaid BYOK |
google/gemma-4-e4b-itgoogle/gemma-4-E4B-it |
IQ 93#98 | 131,072 | 2 | $0.0211/1M | $0.1055/1M | prepaid BYOK |
gryphe/mythomax-l2-13bMythoMax 13B |
— | 8,192 | 2 | $0.422/1M | $0.422/1M | prepaid BYOK |
inclusionai/ling-3.0-flashLing-3.0-flash |
IQ 92#100 | 262,144 | 2 | $0.0633/1M | $0.1899/1M | prepaid BYOK |
meta-llama/llama-3.1-70b-instructMeta: Llama 3.1 70B Instruct |
— | 131,072 | 2 | $0.422/1M | $0.422/1M | prepaid BYOK |
meta-llama/llama-3.3-70b-instruct-turbometa-llama/Llama-3.3-70B-Instruct-Turbo |
— | 131,072 | 2 | $0.1055/1M | $0.3376/1M | prepaid BYOK |
meta-llama/llama-4-maverick-17b-128e-instruct-fp8Llama 4 Maverick Instruct |
— | 1,048,576 | 2 | $0.211/1M | $0.844/1M | prepaid BYOK |
meta-llama/llama-4-scout-17b-16e-instructLlama 4 Scout Instruct |
— | 131,072 | 2 | $0.1055/1M | $0.3165/1M | prepaid BYOK |
meta-llama/llama-guard-4-12bMeta: Llama Guard 4 12B |
— | 1,048,576 | 2 | $0.1899/1M | $0.1899/1M | prepaid BYOK |
meta-llama/meta-llama-3.1-8b-instruct-turbometa-llama/Meta-Llama-3.1-8B-Instruct-Turbo |
— | 131,072 | 2 | $0.0211/1M | $0.0422/1M | prepaid BYOK |
meta-models/muse-glimmer-30bmeta-models/Muse-Glimmer-30B |
— | 131,072 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
microsoft/phi-4Microsoft: Phi 4 |
— | 16,384 | 2 | $0.07385/1M | $0.1477/1M | prepaid BYOK |
minimax/minimax-m2.7MiniMax: MiniMax M2.7 |
IQ 109#50 | 204,800 | 2 | $0.26375/1M | $1.055/1M | prepaid BYOK |
minimax/minimax-m2.7-turboMiniMaxAI/MiniMax-M2.7-Turbo |
— | 196,608 | 2 | $0.4009/1M | $1.7935/1M | prepaid BYOK |
minimax/minimax-m3MiniMax: MiniMax M3 |
IQ 114#39 | 1,048,576 | 2 | $0.2954/1M | $1.1605/1M | prepaid BYOK |
mistralai/mistral-nemo-instruct-2407mistralai/Mistral-Nemo-Instruct-2407 |
— | 131,072 | 2 | $0.020045/1M | $0.03165/1M | prepaid BYOK |
mistralai/mistral-small-24b-instruct-2501Mistral: Mistral Small 3 |
— | 32,768 | 2 | $0.05275/1M | $0.0844/1M | prepaid BYOK |
mistralai/mistral-small-3.2-24b-instruct-2506mistralai/Mistral-Small-3.2-24B-Instruct-2506 |
— | 128,000 | 2 | $0.079125/1M | $0.211/1M | prepaid BYOK |
moonshotai/kimi-k2.5MoonshotAI: Kimi K2.5 |
IQ 111#46 | 262,144 | 2 | $0.47475/1M | $2.37375/1M | prepaid BYOK |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 119#23 | 262,144 | 2 | $0.79125/1M | $3.6925/1M | prepaid BYOK |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 123#16 | 1,048,576 | 2 | $3.00675/1M | $15.03375/1M | prepaid BYOK |
nousresearch/hermes-3-llama-3.1-405bNous: Hermes 3 405B Instruct |
— | 131,072 | 2 | $1.055/1M | $1.055/1M | prepaid BYOK |
nvidia/nemotron-3-nano-30b-a3bNVIDIA: Nemotron 3 Nano 30B A3B |
— | 262,144 | 2 | $0.05275/1M | $0.211/1M | prepaid BYOK |
nvidia/nemotron-3-super-120b-a12bNVIDIA: Nemotron 3 Super |
— | 1,000,000 | 2 | $0.089675/1M | $0.422/1M | prepaid BYOK |
nvidia/nemotron-3-ultra-550b-a55bNVIDIA: Nemotron 3 Ultra |
— | 512,288 | 2 | $0.5275/1M | $2.321/1M | prepaid BYOK |
nvidia/nemotron-3.5-lightningNVIDIA: Nemotron 3.5 Lightning |
— | 1,000,000 | 2 | $0.0844/1M | $0.211/1M | prepaid BYOK |
nvidia/nemotron-content-safety-3.5nvidia/Nemotron-Content-Safety-3.5 |
— | 131,072 | 2 | $0.211/1M | $0.211/1M | prepaid BYOK |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 105#61 | 131,072 | 2 | $0.039035/1M | $0.17935/1M | prepaid BYOK |
openai/gpt-oss-120b-turboopenai/gpt-oss-120b-Turbo |
— | 131,072 | 2 | $0.15825/1M | $0.633/1M | prepaid BYOK |
openai/gpt-oss-120b-ultraopenai/gpt-oss-120b-Ultra |
— | 131,072 | 2 | $0.211/1M | $1.00225/1M | prepaid BYOK |
openai/gpt-oss-20bOpenAI: gpt-oss-20b |
IQ 100#77 | 131,072 | 2 | $0.03165/1M | $0.1477/1M | prepaid BYOK |
qwen/qwen2.5-72b-instructQwen/Qwen2.5-72B-Instruct |
— | 32,768 | 2 | $0.3798/1M | $0.422/1M | prepaid BYOK |
qwen/qwen3-14bQwen: Qwen3 14B |
— | 131,072 | 2 | $0.1266/1M | $0.2532/1M | prepaid BYOK |
qwen/qwen3-235b-a22b-instruct-2507Qwen3 235B A22B Instruct 2507 |
— | 131,072 | 2 | $0.09495/1M | $0.58025/1M | prepaid BYOK |
qwen/qwen3-235b-a22b-thinking-2507Qwen: Qwen3 235B A22B Thinking 2507 |
— | 262,144 | 2 | $0.24265/1M | $2.4265/1M | prepaid BYOK |
qwen/qwen3-30b-a3bQwen: Qwen3 30B A3B |
— | 131,072 | 2 | $0.1266/1M | $0.5275/1M | prepaid BYOK |
qwen/qwen3-coder-480b-a35b-instruct-turboQwen/Qwen3-Coder-480B-A35B-Instruct-Turbo |
— | 262,144 | 2 | $0.3165/1M | $1.055/1M | prepaid BYOK |
qwen/qwen3-maxQwen3 Max |
— | 262,144 | 2 | $1.266/1M | $6.33/1M | prepaid BYOK |
qwen/qwen3-max-thinkingQwen/Qwen3-Max-Thinking |
— | 256,000 | 2 | $1.266/1M | $6.33/1M | prepaid BYOK |
qwen/qwen3-next-80b-a3b-instructQwen: Qwen3 Next 80B A3B Instruct |
— | 262,144 | 2 | $0.09495/1M | $1.1605/1M | prepaid BYOK |
qwen/qwen3-vl-235b-a22b-instructQwen: Qwen3 VL 235B A22B Instruct |
— | 262,144 | 2 | $0.211/1M | $0.9284/1M | prepaid BYOK |
qwen/qwen3-vl-30b-a3b-instructQwen: Qwen3 VL 30B A3B Instruct |
— | 262,144 | 2 | $0.15825/1M | $0.633/1M | prepaid BYOK |
qwen/qwen3.5-122b-a10bQwen: Qwen3.5-122B-A10B |
— | 262,144 | 2 | $0.30595/1M | $2.532/1M | prepaid BYOK |
qwen/qwen3.5-27bQwen: Qwen3.5-27B |
— | 262,144 | 2 | $0.2743/1M | $2.743/1M | prepaid BYOK |
qwen/qwen3.5-35b-a3bQwen: Qwen3.5-35B-A3B |
— | 262,144 | 2 | $0.1477/1M | $1.055/1M | prepaid BYOK |
qwen/qwen3.5-397b-a17bQwen: Qwen3.5 397B A17B |
— | 262,144 | 2 | $0.47475/1M | $3.165/1M | prepaid BYOK |
qwen/qwen3.5-9bQwen: Qwen3.5-9B |
IQ 93#99 | 262,144 | 2 | $0.1055/1M | $0.15825/1M | prepaid BYOK |
qwen/qwen3.6-27bQwen: Qwen3.6 27B |
IQ 111#47 | 262,144 | 2 | $0.3376/1M | $3.376/1M | prepaid BYOK |
qwen/qwen3.6-35b-a3bQwen: Qwen3.6 35B A3B |
IQ 100#78 | 262,144 | 2 | $0.1055/1M | $1.00225/1M | prepaid BYOK |
qwen/qwen3.7-maxQwen3.7-Max |
IQ 118#29 | 1,000,000 | 2 | $2.6375/1M | $7.9125/1M | prepaid BYOK |
qwen/qwen3.8-2.4t-a95bQwen: Qwen3.8 2.4T A95B |
IQ 119#25 | 1,048,576 | 2 | $2.11/1M | $6.33/1M | prepaid BYOK |
qwen/qwen3.8-maxQwen3.8 Max |
IQ 119#26 | 1,000,000 | 2 | $1.74075/1M | $5.223305/1M | prepaid BYOK |
sao10k/l3-8b-lunaris-v1-turboSao10K/L3-8B-Lunaris-v1-Turbo |
— | 8,192 | 2 | $0.0422/1M | $0.05275/1M | prepaid BYOK |
sao10k/l3.1-70b-euryale-v2.2Sao10K/L3.1-70B-Euryale-v2.2 |
— | 131,072 | 2 | $0.89675/1M | $0.89675/1M | prepaid BYOK |
stepfun-ai/step-3.7-flashstepfun-ai/Step-3.7-Flash |
IQ 101#76 | 262,144 | 2 | $0.211/1M | $1.21325/1M | prepaid BYOK |
tencent/hy3Tencent: Hy3 |
IQ 103#67 | 262,144 | 2 | $0.1477/1M | $0.6119/1M | prepaid BYOK |
thinkingmachines/inklingThinking Machines: Inkling |
IQ 108#53 | 1,048,576 | 2 | $1.00225/1M | $4.27275/1M | prepaid BYOK |
thinkingmachines/inkling-smallThinking Machines: Inkling Small |
IQ 106#59 | 524,288 | 2 | $0.47475/1M | $1.266/1M | prepaid BYOK |
xiaomimimo/mimo-v2.5XiaomiMiMo/MiMo-V2.5 |
IQ 109#49 | 262,144 | 2 | $0.422/1M | $2.11/1M | prepaid BYOK |
xiaomimimo/mimo-v2.5-proXiaomiMiMo/MiMo-V2.5-Pro |
IQ 115#36 | 1,048,576 | 2 | $1.055/1M | $3.165/1M | prepaid BYOK |
z-ai/glm-4.6Z.ai: GLM 4.6 |
— | 204,800 | 2 | $0.5275/1M | $2.11/1M | prepaid BYOK |
z-ai/glm-4.7Z.ai: GLM 4.7 |
IQ 103#66 | 204,800 | 2 | $0.422/1M | $1.84625/1M | prepaid BYOK |
z-ai/glm-4.7-flashZ.ai: GLM 4.7 Flash |
— | 202,752 | 2 | $0.0633/1M | $0.422/1M | prepaid BYOK |
z-ai/glm-5Z.ai: GLM 5 |
IQ 105#60 | 204,800 | 2 | $0.633/1M | $2.1944/1M | prepaid BYOK |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#19 | 1,048,576 | 2 | $0.79125/1M | $2.532/1M | prepaid BYOK |
Questions
Does DeepInfra have zero data retention?
TrustedRouter does not currently mark DeepInfra as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.
Is DeepInfra end-to-end encrypted?
TrustedRouter does not currently mark DeepInfra as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.
Which DeepInfra models are available through TrustedRouter?
This page currently lists 95 public DeepInfra models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.