OpenAI: GPT-4.1
openai/gpt-4.1GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.
input
$2.00/M
output
$8.00/M
context
1.0M
created
Apr 15, 2025
Supported API shape
input
image · text · file
output
text
tools
Supported
json mode
Supported
Verification
receipt
x-receipt-id
attestation
gateway report
session
attested upstream
provider
Phala
Provider
Phala
Intel TDX
input
$2.00/M
output
$8.00/M
context
1.0M
Performance comparison
Last 72h · UTCMore models
Other private inference routes.
Phala: Qwen3.8 27B Uncensored (Aggressive)
HauhauCS Qwen3.8-27B Uncensored Aggressive, using the pinned Q8_K_P GGUF and BF16 vision projector. Served with SGLang on a Phala TDX-attested H200, with text and image input and a 262144-token context.
context
262K
input
$0.30/M
NVIDIA: Nemotron 3.5 Lightning
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
context
262K
input
$0.07/M
Z.ai: GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window. Served as a text-only TEE deployment via Phala.
context
1.0M
input
$1.40/M
Qwen: Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled. Served on Phala in a TDX-attested enclave.
context
1M
input
$0.20/M