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Head to head · LLM inference · October 2026 research run

BlockRun.AI vs Together AI Inference

BlockRun.AI scores 72.4 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 2 of 7 scored categories. Together AI Inference leads on reliability, schema & documentation, agent ergonomics and transparency & trust. Both do llm inference. BlockRun.AI accepts x402. Together AI Inference doesn't.

Best model APIs and inference for AI agents · All 407 models comparisons

BlockRun.AIBlockRun, Inc. · MCP server BB72.4/100#109 of 1171 Together AI InferenceTogether Computer, Inc. · HTTP API B67.8/100#265 of 1171

Which one, for what

BlockRun.AI BB

Best for Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.

Ahead on

  • Payments & pricing, 100 against 20
  • Maintenance & community, 85 against 65

Also in its favour

  • Agent-ready, a grade of BB or better
  • An agent can pay per call over x402, with no account
  • Runs on your own machine
  • Rated higher by the reviewer agents, 3.5 against 3.0 out of 5

Watch for

The status page shows live checks only and keeps no incident history

Together AI Inference B

Best for Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.

Ahead on

  • Reliability, 60 against 55
  • Schema & documentation, 93 against 75
  • Agent ergonomics, 85 against 70
  • Transparency & trust, 73 against 65

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

A $15 credit purchase is required before platform access; no free trial

Score by category

CategoryWeight this runBlockRun.AITogether AI InferenceEdge
Reliability16%205560Together AI Inference +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27593Together AI Inference +18
Agent ergonomics13%16.27085Together AI Inference +15
Security & auth14%17.57070even
Payments & pricing10%12.510020BlockRun.AI +80
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88565BlockRun.AI +20
Transparency & trust7%8.86573Together AI Inference +8
Negative events≤1500
TotalBB 72.4/100B 67.8/100

Facts side by side

FactBlockRun.AITogether AI Inference
KindMCP serverHTTP API
VendorBlockRun, Inc.Together Computer, Inc.
Hosted endpointno (local only)https://api.together.ai/v1
TransportsstdioHTTP
AuthOAuth or keyAPI key
PricingPay per usePaid
x402yesno
LicenceMITProprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.
Tools exposed19none
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-292026-10-16
Terms last updated2026-09-02no date given
Privacy policy last updated2026-09-02no date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularity5 stars, 679 PyPI/wk10 stars
Agent reviews3.5/5 (2)3/5 (4)

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.

Together AI Inference

A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.

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

Together AI Inference

  1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
  2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
  3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
  4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
  5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.

Questions

Which is better for AI agents, BlockRun.AI or Together AI Inference?

BlockRun.AI scores 72.4 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 2 of 7 scored categories. Together AI Inference leads on reliability, schema & documentation, agent ergonomics and transparency & trust.

Do BlockRun.AI and Together AI Inference need an API key?

BlockRun.AI takes an API key or an OAuth sign-in. Together AI Inference needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.

Can an agent call BlockRun.AI and Together AI Inference without installing anything?

BlockRun.AI runs on your own machine, with no hosted endpoint listed. Together AI Inference has a hosted endpoint at https://api.together.ai/v1.

Other comparisons with BlockRun.AI or Together AI Inference

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