NEAR AI is the private AI and agent infrastructure layer around the NEAR ecosystem: model access, confidential inference, verifiable privacy, and agent execution surfaces such as IronClaw. NearStats tracks the public NEAR AI model catalog and direct confidential inference endpoints, then separates TEE/attested models from third-party gateway models.
AI models
52
Confidential / attested
15
Direct endpoints
22
Direct endpoint models
23
Reasoning models
31
Tool-capable models
43
Max context
1.05M tokens
Ready confidential
7
Live source check: NEAR AI model catalog is ok; direct endpoint catalog is ok.
GLM-5.2 on NEAR AI
| Signal | Value |
|---|---|
| Status | Live |
| Model | GLM 5.2 (z-ai/glm-5.2) |
| Privacy tier | TEE confidential |
| Context | n/a |
| Max output | n/a |
| Price | n/a input / n/a output |
| Endpoint | glm-5-2-long.completions.near.ai |
| Features | n/a |
Confidential model signals
| Metric | Value |
|---|---|
| TEE / attested catalog models | 15 |
| Third-party gateway models | 37 |
| Direct endpoint domains | 22 |
| Ready confidential models | 7 |
| Lowest-priced ready confidential text model | GLM 5.3 Flash at $0.15/1M input |
| Largest context model | GPT-5.4 with 1.05M tokens |
Featured NEAR AI models
| Model | Privacy tier | Context | Input / Output | Endpoint |
|---|---|---|---|---|
| GPT-5.4 (openai) | Third-party gateway | 1.05M tokens | $2.50/1M / $15.00/1M | gateway |
| GLM 5.3 Flash (nearai) | TEE confidential | 1.05M tokens | $0.15/1M / $0.50/1M | glm-5-3-flash.completions.near.ai |
| DeepSeek V4 Flash (nearai) | TEE confidential | 1.05M tokens | $0.17/1M / $0.35/1M | dsv4-flash.completions.near.ai |
| Qwen 3.6 35B A3B FP8 (nearai) | TEE confidential | 262K tokens | $0.17/1M / $1.10/1M | qwen3-6-35b.completions.near.ai |
| Qwen 3.8 27B (nearai) | TEE confidential | 262K tokens | $0.44/1M / $3.30/1M | qwen3-8-27b.completions.near.ai |
| Qwen3-VL-30B-A3B-Instruct (nearai) | TEE confidential | 16K tokens | $0.15/1M / $0.55/1M | qwen3-vl-30b.completions.near.ai |
| FLUX.2-klein-4B (nearai) | TEE confidential | 128K tokens | $1.00/1M / $1.00/1M | flux2-klein.completions.near.ai |
| Qwen3-Reranker-0.6B (nearai) | TEE confidential | 41K tokens | $0.01/1M / $0.01/1M | qwen3-reranker.completions.near.ai |
| Qwen3-Embedding-0.6B (nearai) | TEE confidential | 33K tokens | $0.01/1M / $0.01/1M | qwen3-embedding.completions.near.ai |
| Privacy Filter (nearai) | TEE confidential | 512 tokens | $0.01/1M / $0.00/1M | privacy-filter.completions.near.ai |
| Whisper Large v3 (nearai) | TEE confidential | 448 tokens | $0.01/1M / $0.01/1M | whisper-large-v3.completions.near.ai |
Direct confidential endpoints
| Direct endpoint | Models |
|---|---|
| dsv4-flash.completions.near.ai | deepseek-ai/DeepSeek-V4-Flash |
| flux2-klein.completions.near.ai | black-forest-labs/FLUX.2-klein-4B |
| gemma-4-31b-int4-dsv4-test.completions.near.ai | google/gemma-4-31B-it-INT4-AutoRound |
| gemma-4-31b.completions.near.ai | google/gemma-4-31B-it |
| glm-5-1.completions.near.ai | zai-org/GLM-5.1-FP8 |
| glm-5-2-long.completions.near.ai | z-ai/glm-5.2-long |
| glm-5-2.completions.near.ai | z-ai/glm-5.2, zai-org/GLM-5.2-FP8 |
| glm-5-3-flash-long.completions.near.ai | z-ai/glm-5.3-flash-long |
| glm-5-3-flash.completions.near.ai | z-ai/glm-5.3-flash |
| glm-5.completions.near.ai | zai-org/GLM-5-FP8 |
| gpt-oss-120b.completions.near.ai | openai/gpt-oss-120b |
| privacy-filter.completions.near.ai | openai/privacy-filter |
| qwen3-30b.completions.near.ai | Qwen/Qwen3-30B-A3B-Instruct-2507 |
| qwen3-6-27b.completions.near.ai | Qwen/Qwen3.6-27B-FP8 |
| qwen3-6-35b-nvfp4.completions.near.ai | Qwen/Qwen3.6-35B-A3B |
| qwen3-6-35b.completions.near.ai | Qwen/Qwen3.6-35B-A3B-FP8 |
| qwen3-8-27b.completions.near.ai | Qwen/Qwen3.8-27B |
| qwen3-embedding.completions.near.ai | Qwen/Qwen3-Embedding-0.6B |
Provider mix
| Provider / owner | Models |
|---|---|
| openai | 18 |
| anthropic | 10 |
| nearai | 10 |
| 6 | |
| attested 3p | 5 |
| deepseek | 1 |
| qwen | 1 |
| x-ai | 1 |
How NEAR AI private inference works
NEAR AI private inference uses Trusted Execution Environments so prompts and responses can be processed inside isolated hardware-backed environments. NearStats links the public docs rather than re-verifying individual requests from the dashboard: see Private Inference, Verification, and the NEAR AI Cloud model catalog.
Privacy tiers NearStats shows
| Tier | Meaning |
|---|---|
| TEE confidential | A NEAR AI / attested model also exposed through a direct completions.near.ai endpoint. |
| Attested | A NEAR AI or attested third-party model in the public catalog, without a matched direct endpoint domain in the current endpoint list. |
| Third-party gateway | A third-party model surfaced through NEAR AI, tracked separately because it is not the same privacy tier as direct confidential inference. |
Frequently asked questions
- Does NEAR run AI models on-chain?
- NearStats tracks NEAR AI Cloud model infrastructure, private inference, direct completions endpoints, and agent infrastructure around the NEAR ecosystem. It does not imply that large models execute directly on NEAR blockchain validators.
- What counts as a confidential NEAR AI model on NearStats?
- NearStats counts NEAR AI catalog models owned by nearai or attested 3p as confidential or attested, and separately counts direct completions.near.ai endpoint domains.
- Are OpenAI, Anthropic, and Google models confidential in the same way?
- No. Third-party gateway models are separated from NEAR AI TEE-hosted or attested models, because upstream providers have different privacy guarantees than direct confidential inference endpoints.
Machine-readable data: /api/near/ai. Source policy: NearStats does not use Dune or social posts for this page's live numbers; it uses public NEAR AI endpoints and caches the normalized response server-side.
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