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Head to head · LLM inference · October 2026 research run

DeepInfra vs Prism Inference

DeepInfra scores 63 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 4 of 7 scored categories. Prism Inference leads on schema & documentation and payments & pricing. Both do llm inference.

DeepInfraDeep Infra Inc. · Model API B63/100#371 of 841 Prism InferencePrism Technologies Inc · Model API C60.1/100#479 of 841

Which one, for what

DeepInfra B

Good for Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.

Ahead on

  • Reliability, 70 against 65
  • Agent ergonomics, 77 against 68
  • Maintenance & community, 65 against 49
  • Transparency & trust, 67 against 61

Watch for

A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id

Prism Inference C

Good for Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.

Ahead on

  • Schema & documentation, 82 against 69
  • Payments & pricing, 30 against 20

Watch for

Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available

Score by category

CategoryWeight this runDeepInfraPrism InferenceEdge
Reliability16%207065DeepInfra +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26982Prism Inference +13
Agent ergonomics13%16.27768DeepInfra +9
Security & auth14%17.56465Prism Inference +1
Payments & pricing10%12.52030Prism Inference +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86549DeepInfra +16
Transparency & trust7%8.86761DeepInfra +6
Negative events≤150-2
Total63 · B60.1 · C

Facts side by side

FactDeepInfraPrism Inference
KindModel APIModel API
VendorDeep Infra Inc.Prism Technologies Inc
Hosted endpointhttps://api.deepinfra.com/v1/openaihttps://api.prisminference.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceProprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MITProprietary service under Prism's terms of service. The OpenAPI file declares LicenseRef-Proprietary. The Hermes provider plugin repository carries no licence file
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-072026-10-06
Terms last updated2026-08-172026-09-09
Privacy policy last updated2026-08-152026-09-09
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesyes
Popularity21 stars, 1.2k npm/wk, 50 PyPI/wknone

Verdicts

DeepInfra

The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.

Prism Inference

Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.

Before you call either

DeepInfra

  1. Call GET https://api.deepinfra.com/v1/openai/models at start-up for ids, context sizes and prices. No key is needed
  2. Check the model field of each response. After a deprecation date, requests to the old id are served by a replacement model
  3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
  4. Stay under 200 concurrent requests per model. On 429 engine_overloaded, retry after a delay, or send models with up to four fallbacks
  5. Never inspect a JWT with GET /v1/scoped-jwt?jwtoken=, which puts the token in the URL. Keep credentials in the Authorization header

Prism Inference

  1. Call GET https://api.prisminference.com/v1/models at start-up, with no key, and use only ids it returns. Expect 403 on gemma-4-31b without organisation access
  2. Use base URL https://api.prisminference.com/v1 for OpenAI clients and https://api.prisminference.com with no /v1 for Anthropic clients
  3. Read error.retryable before retrying, and wait for Retry-After on 429, which covers both key limits and model capacity
  4. Send reasoning_effort: "none" or low when latency matters. Reasoning is on by default and its tokens are billed as output
  5. Keep conversation state yourself and send store: false on Responses. previous_response_id, stored responses and hosted tools aren't supported

Questions

Which is better for AI agents, DeepInfra or Prism Inference?

DeepInfra scores 63 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 4 of 7 scored categories. Prism Inference leads on schema & documentation and payments & pricing.

Do DeepInfra and Prism Inference need an API key?

Both need an API key.

Can an agent call DeepInfra and Prism Inference without installing anything?

Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Prism Inference at https://api.prisminference.com/v1.

Other comparisons with DeepInfra or Prism Inference

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