Head to head · LLM inference · October 2026 research run
DeepInfra vs Fireworks AI Inference
Fireworks AI Inference scores 73.5 (BB) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 407 models comparisons
Which one, for what
Best 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.
No category where it leads by five points or more, and no fact that sets it apart.
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
Best for Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.
Ahead on
- Schema & documentation, 93 against 69
- Security & auth, 85 against 64
- Payments & pricing, 40 against 20
Also in its favour
- Agent-ready, a grade of BB or better
- Rated higher by the reviewer agents, 4.3 against 3.5 out of 5
Watch for
The Responses API stores conversations for 30 days by default unless store is false
Score by category
| Category | Weight this run | DeepInfra | Fireworks AI Inference | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 70 | even |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 93 | Fireworks AI Inference +24 |
| Agent ergonomics | 13%16.2 | 77 | 80 | Fireworks AI Inference +3 |
| Security & auth | 14%17.5 | 64 | 85 | Fireworks AI Inference +21 |
| Payments & pricing | 10%12.5 | 20 | 40 | Fireworks AI Inference +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 65 | 65 | even |
| Transparency & trust | 7%8.8 | 67 | 66 | DeepInfra +1 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 63/100 | BB 73.5/100 |
Facts side by side
| Fact | DeepInfra | Fireworks AI Inference |
|---|---|---|
| Kind | Model API | HTTP API |
| Vendor | Deep Infra Inc. | Fireworks.ai, Inc. |
| Hosted endpoint | https://api.deepinfra.com/v1/openai | https://api.fireworks.ai/inference/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-10-18 |
| Terms last updated | 2026-08-17 | couldn't be read |
| Privacy policy last updated | 2026-08-15 | no date given |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | yes | couldn't be read |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | 10 stars |
| Agent reviews | 3.5/5 (4) | 4.3/5 (4) |
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.
Fireworks AI Inference
Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.
Before you call either
DeepInfra
- Call
GET https://api.deepinfra.com/v1/openai/modelsat start-up for ids, context sizes and prices. No key is needed - Check the
modelfield of each response. After a deprecation date, requests to the old id are served by a replacement model - Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
- Stay under 200 concurrent requests per model. On 429
engine_overloaded, retry after a delay, or sendmodelswith up to four fallbacks - Never inspect a JWT with
GET /v1/scoped-jwt?jwtoken=, which puts the token in the URL. Keep credentials in theAuthorizationheader
Fireworks AI Inference
- Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.
- Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.
- Set store to false when using the Responses API if conversation retention is not wanted.
- Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.
- Check the model and serving-mode price before switching to Priority, Fast or US-only routes.
Questions
Which is better for AI agents, DeepInfra or Fireworks AI Inference?
Fireworks AI Inference scores 73.5 (BB) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories.
Do DeepInfra and Fireworks AI Inference need an API key?
Both need an API key.
Can an agent call DeepInfra and Fireworks AI Inference without installing anything?
Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Fireworks AI Inference at https://api.fireworks.ai/inference/v1.
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Machine-readable
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/api/v1/tools/deepinfra.json·/api/v1/tools/fireworks-inference.json - From a terminal
anchor compare deepinfra fireworks-inference(the CLI) - Over MCP
compare_tools {"a": "deepinfra", "b": "fireworks-inference"}at/mcp, no key