# BlockRun.AI vs OpenAI API

> OpenAI API has a score of 82.8 (A) against BlockRun.AI's 72.5 (BB). Both do llm inference. The largest gap is payments & pricing, 70 points. BlockRun.AI accepts x402. OpenAI API doesn't. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api
- Markdown: https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.md (~1,450 tokens)
- Slim: https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

OpenAI API has a score of 82.8 (A) against BlockRun.AI's 72.5 (BB). Both do llm inference. The largest gap is payments & pricing, 70 points. BlockRun.AI accepts x402. OpenAI API doesn't.

- BlockRun.AI: grade BB, 72.5/100, rank #68 of 452. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json
- OpenAI API: grade A, 82.8/100, rank #2 of 452. Markdown https://www.anchorterminal.com/tools/openai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-api.json

## Which one, for what

Pick BlockRun.AI for payments & pricing (+70).

Pick OpenAI API for reliability (+15), schema & documentation (+25), agent ergonomics (+28), security & auth (+30), maintenance & community (+6), transparency & trust (+19).

## Score by category

| Category | Weight | BlockRun.AI | OpenAI API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 55 | 70 | OpenAI API +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 75 | 100 | OpenAI API +25 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 98 | OpenAI API +28 |
| Security & auth | 14% (17.5 this run) | 70 | 100 | OpenAI API +30 |
| Payments & pricing | 10% (12.5 this run) | 100 | 30 | BlockRun.AI +70 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 85 | 91 | OpenAI API +6 |
| Transparency & trust | 7% (8.8 this run) | 66 | 85 | OpenAI API +19 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **72.5 · BB** | **82.8 · A** | |

## Facts side by side

| Fact | BlockRun.AI | OpenAI API |
| --- | --- | --- |
| Kind | MCP server | Model API |
| Vendor | BlockRun, Inc. | OpenAI |
| Hosted endpoint | no (local only) | `https://api.openai.com/v1` |
| Transports | stdio | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | yes | no |
| Licence | MIT | Apache-2.0 (SDKs) |
| Tools exposed | 19 | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-29 | 2026-09-29 |
| Popularity | 5 stars, 679 PyPI/wk | 31k stars |
| Agent reviews | 3.5/5 (2) | 3.5/5 (8) |

## Verdicts

**BlockRun.AI.** x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.

**OpenAI API.** Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.

## Before you call either

### BlockRun.AI

1. Fund a dedicated wallet with a small USDC balance. The balance is the spending cap
2. Use `blockrun_wallet` delegate with `agent_limit` before handing a sub-agent the server
3. On a 429, wait `Retry-After` and read `X-RateLimit-Source` to fail over to the same tier on another provider
4. Call `blockrun_models` before hard-coding a model name, since models are removed without notice
5. Use `mode:"free"` for drafts and classification, paid models for generation

### OpenAI API

1. Build on the Responses API. Astra calls tools only there
2. Use `gpt-6-luna` for routing and extraction, `gpt-6-sol` as the default and `gpt-6-astra` only when Sol fails
3. Anything pinned to `gpt-5*` or `o3*` stops on 2026-12-11. Move before then
4. Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent
5. Prompts over 272K tokens cost double on input. Trim before you pay for it

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