# Backmesh vs RightNow Inference (RunInfra)

Backmesh records 874 monthly visits with +965.9% month-over-month growth and Free Trial, Paid pricing. RightNow Inference (RunInfra) records 18,110 monthly visits with -22.6% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Backmesh](https://openaitools.app/tool/backmesh) | [RightNow Inference (RunInfra)](https://openaitools.app/tool/runinfra) |
| :--- | :--- | :--- |
| Website URL | https://backmesh.com | https://runinfra.ai |
| Categories | AI API, Large Language Models (LLMs), Open Source AI Models | AI Developer Tools, Large Language Models (LLMs), AI API, Open Source AI Models |
| Pricing Model | Free Trial, Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 874 | 18,110 |
| MoM Growth Rate | +965.9% | -22.6% |
| Primary Market | Nigeria | India |
| Direct Visits | 394 | 7,781 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Backmesh

Backmesh solves a specific and expensive problem: GitHub-hosted runners are convenient but costly, and typical self-hosted runner setups require you to operate autoscaling infrastructure yourself. With a single install, Backmesh connects your GitHub organisation to spot VM capacity across AWS, Google Cloud and Azure, and launches one VM per job. Runners and their autoscaler run inside accounts you control, so your clouds bill you directly for compute.

Security is designed around not holding your data. Backmesh stores no cloud keys: the install connects each cloud using a role created from your own cloud CLI session. Code, secrets, caches and logs travel only between GitHub and your runners, never to Backmesh, and only one small event per job is sent — describing the runner without naming the repository, workflow, job or branch. If Backmesh itself has an outage of roughly half an hour, in-flight jobs finish and new ones keep starting.

Commercially, Backmesh charges by jobs started rather than minutes, with a 15-day free trial on every tier and monthly or yearly billing. The site publishes comparisons against GitHub-hosted runners — for example 150,000 minutes a month costing about $1,800 on GitHub versus roughly $210–$260 on Backmesh for 4-vCPU Linux jobs. The platform supports Linux x86-64, private repositories, and AWS, GCP or Azure per workflow.

**Pricing & Plans:** Subscription tiers priced by jobs started over a rolling 30-day window, with a 15-day free trial on every tier and up to 30% off on yearly billing; tier prices and job caps are listed on the pricing page.

- **One install across three clouds:** A single Backmesh install receives your GitHub queued jobs and dispatches each to its own spot VM in AWS, Google Cloud or Azure.
- **No cloud keys stored:** Cloud connections use roles created from your own CLI session, and Backmesh never receives your code, secrets, caches or logs.
- **Cost visibility and control:** A status command reports runner VMs, queue times, 24-hour and 7-day job stats and month-to-date cost in one place.
- **Per-job resource telemetry:** Every job log ends with peak memory, OOM kills, CPU and disk usage so you can right-size jobs.
- **Resilient by design:** Running jobs complete and new jobs keep starting through a Backmesh outage of about 30 minutes.

**Strengths:** Substantially lower CI compute cost than GitHub-hosted runners on equivalent workloads; Runners and autoscaler live in your own cloud accounts, with no cloud keys stored by Backmesh; Works across AWS, GCP and Azure from a single install with unified status reporting; Per-job resource telemetry helps size runners accurately

**Limitations:** Linux x86-64 and private repositories only — no macOS, Windows, Arm or GPU runners; Each job waits for its own VM to boot, roughly 30 s on AWS and 60–70 s on GCP and Azure; A reclaimed spot VM fails its job and must be rerun; Each job starts with an empty Docker layer cache

[Profile (Markdown)](https://openaitools.app/tool/backmesh.md)

## RightNow Inference (RunInfra)

RightNow Inference, which operates at runinfra.ai, is a Y Combinator-backed inference provider focused on the economics of agentic workloads. Agents tend to resend the same context on every turn, which makes input tokens the dominant cost. RightNow Inference addresses this with session-aware routing: repeat calls from one session prefer the GPU replica that already holds the relevant KV cache, so cached input is billed at a fraction of list price.

The platform serves a curated library of open-weight models — including models from the DeepSeek, GLM, Qwen and Step families — through endpoints compatible with the OpenAI and Anthropic SDKs, so existing agent code needs minimal changes. The company publishes per-model output speed, cache-hit rates and effective input pricing, and documents its cache measurement methodology publicly.

Beyond metered API usage, RightNow Inference offers coding plans from $10 a month designed for tools such as Claude Code and opencode, with usage that resets on rolling five-hour and weekly windows and a free standby option when a limit is reached. The service is marketed to teams that want controllable costs without giving up open-model quality.

**Pricing & Plans:** Metered API pricing is published per model, with cached input rates starting around $0.01 per million tokens and effective input costs often several times lower than list thanks to high cache-hit rates. Coding plans start at $10/month (Starter), $29/month (Pro) and $99/month (Team), with included usage that resets every five hours and weekly, plus pay-as-you-go credits or a free standby tier at the limit. A free trial and contact-based enterprise arrangements are also offered.

- **Warm-cache session routing:** Automatically keeps repeated calls from one agent session on the replica that already holds its context, reaching reported cache-hit rates around 99% and cutting effective input costs.
- **Drop-in API compatibility:** One API key works with both the OpenAI and Anthropic SDKs, so existing agent code can switch providers with minimal changes.
- **Curated open-model library:** Serves open-weight models with published pricing, tool calling, JSON mode, streaming and image-input capabilities, plus live output-speed and cache metrics.
- **Transparent cached billing:** Cache hits appear in usage and are billed at the cached rate, with a published measurement methodology and per-model effective input rates.
- **Coding-agent plans:** Flat monthly plans for Claude Code, opencode and 20+ other agents, with usage windows and a free standby option when limits are reached.

**Strengths:** Session-aware routing can push cache-hit rates near 99%, sharply lowering effective input cost; OpenAI and Anthropic SDK compatibility keeps migration effort low; Published per-model speed, cache and pricing data supports informed comparisons; Affordable coding plans with a free standby option when limits are hit

**Limitations:** Model library is curated and smaller than large general-purpose aggregators; Cached and effective pricing depends on best-effort cache hits, so results vary by workload; Some reported benchmark figures come from the vendor's own measurement method

[Profile (Markdown)](https://openaitools.app/tool/runinfra.md)

## Frequently Asked Questions

### How do Backmesh and RightNow Inference (RunInfra) compare in monthly traffic?

Backmesh has 874 monthly visits, while RightNow Inference (RunInfra) has 18,110. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Backmesh has a month-over-month growth rate of +965.9%; RightNow Inference (RunInfra) has -22.6%.

### How does pricing compare?

Backmesh: Free Trial, Paid. Subscription tiers priced by jobs started over a rolling 30-day window, with a 15-day free trial on every tier and up to 30% off on yearly billing; tier prices and job caps are listed on the pricing page. RightNow Inference (RunInfra): Free Trial, Paid, Contact for Pricing. Metered API pricing is published per model, with cached input rates starting around $0.01 per million tokens and effective input costs often several times lower than list thanks to high cache-hit rates. Coding plans start at $10/month (Starter), $29/month (Pro) and $99/month (Team), with included usage that resets every five hours and weekly, plus pay-as-you-go credits or a free standby tier at the limit. A free trial and contact-based enterprise arrangements are also offered.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 4 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Ultra-fast AI inference on the LPU and LPX platform | [.md](https://openaitools.app/tool/groq.md) |
| 5 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) |
| 8 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 9 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/backmesh-vs-runinfra

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)