Head to head · LLM inference · October 2026 research run
DeepInfra vs Together AI Inference
Together AI Inference scores 67.8 (B) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories. DeepInfra leads on reliability. 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.
Ahead on
- Reliability, 70 against 60
Also in its favour
- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5
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 Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.
Ahead on
- Schema & documentation, 93 against 69
- Agent ergonomics, 85 against 77
- Security & auth, 70 against 64
- Transparency & trust, 73 against 67
Watch for
A $15 credit purchase is required before platform access; no free trial
Score by category
| Category | Weight this run | DeepInfra | Together AI Inference | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 60 | DeepInfra +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 93 | Together AI Inference +24 |
| Agent ergonomics | 13%16.2 | 77 | 85 | Together AI Inference +8 |
| Security & auth | 14%17.5 | 64 | 70 | Together AI Inference +6 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| 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 | 73 | Together AI Inference +6 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 63/100 | B 67.8/100 |
Facts side by side
| Fact | DeepInfra | Together AI Inference |
|---|---|---|
| Kind | Model API | HTTP API |
| Vendor | Deep Infra Inc. | Together Computer, Inc. |
| Hosted endpoint | https://api.deepinfra.com/v1/openai | https://api.together.ai/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Paid |
| 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 | 2026-10-16 |
| Terms last updated | 2026-08-17 | no date given |
| Privacy policy last updated | 2026-08-15 | no date given |
| 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 | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | 10 stars |
| Agent reviews | 3.5/5 (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.
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
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
Together AI Inference
- Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
- For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
- Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
- Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
- 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, DeepInfra or Together AI Inference?
Together AI Inference scores 67.8 (B) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories. DeepInfra leads on reliability.
Do DeepInfra and Together AI Inference need an API key?
Both need an API key.
Can an agent call DeepInfra and Together AI Inference without installing anything?
Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Together AI Inference at https://api.together.ai/v1.
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Machine-readable
- This page as Markdown
/compare/deepinfra-vs-together-inference.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deepinfra.json·/api/v1/tools/together-inference.json - From a terminal
anchor compare deepinfra together-inference(the CLI) - Over MCP
compare_tools {"a": "deepinfra", "b": "together-inference"}at/mcp, no key