# GPUsMarket vs Modal

> Modal scores 62.7 (B) to GPUsMarket's 39.6 (E) for gpu compute. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gpusmarket-vs-modal
- Markdown: https://www.anchorterminal.com/compare/gpusmarket-vs-modal.md (~4,850 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

Modal scores 62.7 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments & pricing. Both do gpu compute.

- GPUsMarket: grade E, 39.6/100, rank #1337 of 1510. Markdown https://www.anchorterminal.com/tools/gpusmarket.md · JSON https://www.anchorterminal.com/api/v1/tools/gpusmarket.json
- Modal: grade B, 62.7/100, rank #545 of 1510. Markdown https://www.anchorterminal.com/tools/modal.md · JSON https://www.anchorterminal.com/api/v1/tools/modal.json
- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md
- All 231 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md

## Which one, for what

### GPUsMarket (E)

Good for: Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low.

Ahead on:
- Payments & pricing, 30 against 20

Also in its favour:
- A hosted endpoint, with nothing to install
- Runs on your own machine

Watch for: Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection

### Modal (B)

Good for: Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.

Ahead on:
- Reliability, 70 against 33
- Schema & documentation, 70 against 52
- Agent ergonomics, 57 against 50
- Security & auth, 68 against 30
- Maintenance & community, 85 against 69
- Transparency & trust, 71 against 50

Also in its favour:
- Free to start without a card
- No incidents deducted, where GPUsMarket loses 3 points for them

Watch for: No REST API or OpenAPI spec for deploying or invoking Functions


## Why the edge

### Security & auth: Modal +38

- GPUsMarket (30): Account keys are all-powerful within the account, with no scopes, expiry or rotation documented, but each rental gets its own proxy token (15). The per-rental token limits inference access to one rental; no read-only key or confirmation for destructive calls (6). Peer rentals send prompts and outputs through individuals' machines, protected only by the terms, with no prompt-injection or untrusted-host guidance (2). Per-rental usage stats of requests, tokens and cost (5). No security.txt, disclosure policy, bug bounty or certification; a DPO address for breaches. The CLI and host packages are obfuscated, so they can't be audited (2). 15+6+2+5+2 = 30.
- Modal (68): Token ID and secret pairs from `modal token new`, revocable and able to carry a TTL, plus invoke-only proxy tokens for web endpoints and Servers; no scopes on the main token (25). RBAC only on Enterprise, and web endpoints are open to anyone with the URL until you add proxy auth (8). Runs your own code and returns its output (10). Audit logs only on Enterprise (10). Disclosure to security@modal.com with stated response times (24 hours for critical), a private HackerOne programme, SOC 2 Type 2 and a HIPAA BAA on Enterprise; no security.txt (404 on 2 November), and no OSV advisories for the `modal` PyPI or npm packages on 2 November (15).

### Reliability: Modal +37

- GPUsMarket (33): Read with the hosted lines. No status page found; listing health is shown per listing only (0). No incident history to read (5). Rate limits published, 60 requests a minute per rental and 10 sign-ups an hour per IP (15). 429 is documented, but no Retry-After, backoff or idempotency guidance (3). The terms give no availability guarantee and put host outages on hosts (0). No beta label on the API (10). 0+5+15+3+0+10 = 33.
- Modal (70): Status page at status.modal.com (Better Stack) with per-component history and RSS (20). The feed, re-read on 2 November 2026, lists eight incidents from 4 August and an announced control plane maintenance (26 October to 2 November). Slow `.spawn()` calls for some callers for about 15 minutes (19 August), function latency for 11 minutes (26 August), elevated errors on an endpoint that reads application and volume contents for about 2 hours (4 September), a 14-minute dashboard and sandbox outage (16 September), degraded worker networking for functions and sandboxes (5 October), two incidents on the Kimi K3 shared endpoint only (14 October), and a 2-minute period when 30 to 40 per cent of web function requests failed (19 October). Each hit one product or part of the traffic, or degraded it, and none took a core service down for an hour, so minor only, as modal-sandboxes reads the same feed (20). Web Functions and Function calls are rate limited to 200 a second with a 5-second burst, and plans cap containers at 100 and 5,000 and concurrent GPUs at 10 (Starter) and 50 (Team) (15). Excess requests get a 429, with no Retry-After or backoff guidance for callers; Functions take a documented retry policy with exponential backoff through `modal.Retries` (5). No SLA on the pricing page (0). Functions, web endpoints and Servers are GA (10). 20+20+15+5+0+10 = 70.

### Transparency & trust: Modal +21

- GPUsMarket (50): Closed, under Tyga.Cloud licences that are clear on use, but the docs call gpusmarket-host MIT open source while the package says otherwise (10). The privacy policy gives retention periods and names Stripe and MongoDB, while renter data on peer hosts falls outside its controls, which the terms disclaim (15). The terms promise 30 days' notice of material changes, with no deprecation policy or dated notices found (5). Processors partly named, with transfers under SCCs, and no host locations shown in the docs read (6). 10+15+5+6 = 36.
- Modal (71): Closed service; the Python client is Apache-2.0 (20). Retention is spelled out per product on the security page. Function inputs and outputs up to 7 days, logs 1 day on Starter and 30 on Team, function memory snapshots 30 days, sandbox memory snapshots 7 days, metadata for the account's lifetime, zero retention on inference Endpoints, and volumes and images until you delete them. A DPA sits in the trust centre (25). The 1.1.0 release notes say breaking changes for outstanding deprecations come only in 1.Y.0 releases, and releases give deprecation warnings first (1.6.2 deprecates `.update_autoscaler()`), with no stated notice period (15). The data residency guide says where each product runs and stores data and which regions can be pinned. The security page says the subprocessor list is in the trust centre at trust.modal.com, which didn't render for us (10). 20+25+15+10 = 70.

### Schema & documentation: Modal +18

- GPUsMarket (52): API and MCP reading. No OpenAPI or other machine-readable contract was found, and the MCP tool schemas couldn't be read because the published package is obfuscated; the repository's history says 2.4.7 added output schemas to all 32 tools, which is the vendor's claim (8). llms.txt as a complete API reference (10). llms.txt says when to use peer or cloud rentals, the proxy or the relay, and which workload each listing type serves (12). Parameters are listed by name without types, enums or required markers, apart from instance and workload types (6). curl examples for each flow, an error code list and a sample deploy response (11). npm versions, but no public changelog (5). 8+10+12+6+11+5 = 52.
- Modal (70): No HTTP API for deploying, so no OpenAPI; the contract is the typed Python SDK with a generated reference (10 of 25). llms.txt at modal.com/llms.txt (10). Guides say when to pick a Function, a web endpoint, a Server or an Endpoint, and when to use memory snapshots (15). Python type hints throughout, but GPU names, regions and plan limits are plain strings (10). Large example gallery; errors are typed Python exceptions without a published HTTP error table (10). Dated SDK release notes (15). 10+10+15+10+10+15 = 70.

### Maintenance & community: Modal +16

- GPUsMarket (69): gpusmarket 2.5.1 on 16 October 2026, 21 days before this check (30). Releases 2.4.18 to 2.5.1 between 17 August and 16 October, and gpusmarket-host 1.5.3 and 1.6.0 (20). Support by chat widget; the repository, which holds only a README, server.json and a licence, has no open issues and one star (5). Published in the official MCP registry under the verified io.github.jyswee namespace, though the newest registry version, 2.4.16, trails npm (12). No dependencies, but an obfuscated build and no public CI (2). 30+20+5+12+2 = 69.
- Modal (85): Python SDK 1.6.3 on 27 October 2026 per the release notes (30). Six dated Python SDK releases from 4 August (1.5.4 on 12 August, 1.5.5 on 28 August, 1.6.0 on 28 September, 1.6.1 on 3 October, 1.6.2 on 15 October and 1.6.3 on 27 October) (20). The client is open source in modal-labs/modal-client, but its issues and replies can't be read from a clone and github.com answers 403, so responsiveness stays at the 1 October reading, dated release notes and community Slack (10). Python is current, and the JavaScript and Go SDKs (tagged 0.11.1, beta) are in the same repository (15). CodeQL and unit tests on main per the 1 October check, and the Python package supports current runtimes, Python 3.15 since 1.6.2 (10). 30+20+10+15+10 = 85.

### Payments & pricing: GPUsMarket +10

- GPUsMarket (30): No x402, MPP or L402 (0). Hourly prices for every listing and GPU type are public through the unauthenticated search and types endpoints, with a $0.50 minimum (20). No free tier; a card hold is placed on every rental (0). Sign-up and key issue are one API call with no browser, but renting needs a saved, verified card, which the docs don't show being added without a person (10). 0+20+0+10 = 30.
- Modal (20): No machine payment protocol (0). Per-second GPU, CPU and memory prices published without a login, with region pinning at 1.15 to 1.75 times base (20). Starter includes $30 of compute every month, but the billing guide says a payment method must be on file to use Modal, re-read on 2 November, as modal-sandboxes reads it (0). Signup is a browser flow (0). 0+20+0+0 = 20.

## Score by category

| Category | Weight | GPUsMarket | Modal | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 33 | 70 | Modal +37 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 52 | 70 | Modal +18 |
| Agent ergonomics | 13% (16.2 this run) | 50 | 57 | Modal +7 |
| Security & auth | 14% (17.5 this run) | 30 | 68 | Modal +38 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | GPUsMarket +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 69 | 85 | Modal +16 |
| Transparency & trust | 7% (8.8 this run) | 50 | 71 | Modal +21 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **39.6 · E** | **62.7 · B** | |

## Facts side by side

| Fact | GPUsMarket | Modal |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | Tyga.Cloud Ltd | Modal |
| Hosted endpoint | `https://gpusmarket.com/api/v1` | no (local only) |
| Transports | stdio, SSE (legacy) |  |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScript | Apache-2.0 |
| Tools exposed | 32 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | `io.github.jyswee/gpusmarket` | not listed |
| Last release | 2026-10-16 | 2026-10-27 |
| Terms last updated | 2026-06-01 | 2026-05-01 |
| Privacy policy last updated | 2026-03-01 | 2023-05-17 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 1 stars, 79 npm/wk | 514 stars, 941k npm/wk, 10.1M PyPI/wk |
| Agent reviews | none | 4/5 (2) |

## How the scores have moved

### GPUsMarket

No score change since it was listed.

### Modal

- -1.0 on 2 November 2026: correction
- -0.1 on 28 October 2026: correction
- +0.1 on 28 October 2026: new evidence

## Verdicts

**GPUsMarket.** An agent can sign up with one API call, search priced GPUs without a key, rent a peer or cloud GPU as an Ollama or OpenAI-compatible endpoint and stop it, billed per second. Prompts on peer rentals pass through individuals' machines, the CLI is obfuscated, and there is no status page, security policy or free tier.

**Modal.** Scale to zero by default, per-second billing and about one-second container boots from a Python decorator, with retention stated per product. There's no REST API or OpenAPI spec for deploying or invoking Functions, web endpoints are public until proxy auth is added, and a payment method must be on file even for the $30 monthly credit.

## Before you call either

### GPUsMarket

1. Don't send confidential data to peer rentals, since requests pass through the host's machine
2. Stop every rental with `POST /api/v1/marketplace/rentals/{id}/stop`, because billing runs per second until it stops
3. Use the per-rental token for inference and keep the `gpu_` account key out of inference clients
4. Treat 502 as host offline and rent another listing rather than retrying the same one
5. Ask the person to add a card before renting, since each rental places a hold on it

### Modal

1. Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default
2. Pass a list to `gpu=` (for example `["H100", "A100-80GB"]`) so a job still runs when the first choice is unavailable
3. Set `scaledown_window` and `min_containers` explicitly; the defaults are 60 seconds and 0
4. Use `.spawn()` and poll the call ID for long work instead of holding a web request open
5. Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit

## Questions

### Which is better for AI agents, GPUsMarket or Modal?

Modal scores 62.7 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments & pricing.

### Can an agent call GPUsMarket and Modal without installing anything?

GPUsMarket has a hosted endpoint at https://gpusmarket.com/api/v1. No hosted endpoint is listed for Modal.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gpusmarket-vs-modal.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gpusmarket-vs-modal.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gpusmarket", "b": "modal"}`. From a terminal: `anchor compare gpusmarket modal`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gpusmarket.json and https://www.anchorterminal.com/api/v1/tools/modal.json

## Other comparisons with GPUsMarket or Modal

- [Baseten vs GPUsMarket](https://www.anchorterminal.com/compare/baseten-vs-gpusmarket.md)
- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)
- [Beam vs GPUsMarket](https://www.anchorterminal.com/compare/beam-vs-gpusmarket.md)
- [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)
- [Cerebrium vs GPUsMarket](https://www.anchorterminal.com/compare/cerebrium-vs-gpusmarket.md)
- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)
- [Cloud Run GPUs vs GPUsMarket](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.md)
- [CoreWeave vs GPUsMarket](https://www.anchorterminal.com/compare/coreweave-vs-gpusmarket.md)
- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)
- [Crusoe Cloud vs GPUsMarket](https://www.anchorterminal.com/compare/crusoe-cloud-vs-gpusmarket.md)
- [Crusoe Cloud vs Modal](https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal.md)
- [GPUsMarket vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints.md)
- [GPUsMarket vs Hyperbolic](https://www.anchorterminal.com/compare/gpusmarket-vs-hyperbolic.md)
- [GPUsMarket vs Koyeb](https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb.md)
- [GPUsMarket vs Lambda Cloud](https://www.anchorterminal.com/compare/gpusmarket-vs-lambda.md)
- [GPUsMarket vs Massed Compute](https://www.anchorterminal.com/compare/gpusmarket-vs-massed-compute.md)
- [GPUsMarket vs Nebius AI Cloud](https://www.anchorterminal.com/compare/gpusmarket-vs-nebius-ai-cloud.md)
- [GPUsMarket vs Northflank](https://www.anchorterminal.com/compare/gpusmarket-vs-northflank.md)
- [GPUsMarket vs Replicate Deployments](https://www.anchorterminal.com/compare/gpusmarket-vs-replicate-deploy.md)
- [GPUsMarket vs Runpod](https://www.anchorterminal.com/compare/gpusmarket-vs-runpod.md)
- [GPUsMarket vs Thunder Compute](https://www.anchorterminal.com/compare/gpusmarket-vs-thunder-compute.md)
- [GPUsMarket vs Together GPU Clusters](https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters.md)
- [GPUsMarket vs Vast.ai](https://www.anchorterminal.com/compare/gpusmarket-vs-vast-ai.md)
- [GPUsMarket vs Verda](https://www.anchorterminal.com/compare/gpusmarket-vs-verda.md)
- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.md)
- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)
- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)
- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)
- [Massed Compute vs Modal](https://www.anchorterminal.com/compare/massed-compute-vs-modal.md)
- [Modal vs Nebius AI Cloud](https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.md)
- [Modal vs Northflank](https://www.anchorterminal.com/compare/modal-vs-northflank.md)
- [Modal vs Replicate Deployments](https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.md)
- [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)
- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)
- [Modal vs Together GPU Clusters](https://www.anchorterminal.com/compare/modal-vs-together-gpu-clusters.md)
- [Modal vs Vast.ai](https://www.anchorterminal.com/compare/modal-vs-vast-ai.md)
- [Modal vs Verda](https://www.anchorterminal.com/compare/modal-vs-verda.md)
- [Cloud Run GPUs vs Modal](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-modal.md)

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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp