Head to head · LLM inference · October 2026 research run
Amazon Bedrock vs DeepInfra
Amazon Bedrock scores 81.7 (A) on agent readiness against DeepInfra's 63.7 (B), and leads in every scored category. Both do llm inference.
Best model APIs and inference for AI agents · All 830 models comparisons
Which one, for what
Best for Teams already on AWS who want Claude, GPT-6, Nova, Llama and other models under one IAM, billing and VPC boundary, with regional data controls and an SLA.
Ahead on
- Reliability, 80 against 75
- Schema & documentation, 94 against 69
- Agent ergonomics, 92 against 77
- Security & auth, 98 against 64
- Payments & pricing, 30 against 20
- Maintenance & community, 81 against 61
- Transparency & trust, 85 against 68
Also in its favour
- Agent-ready, a grade of BB or better
Watch for
An AWS account, IAM setup and a Region choice come before the first call, and an agent can't sign up alone
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. Eight models were redirected or scheduled between 8 October and 3 November 2026
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Security & auth Amazon Bedrock +34
Amazon Bedrock 98
Model reading. IAM with SigV4, roles and STS session credentials, policies down to a model or inference-profile ARN, short-term API keys that expire within 12 hours, long-term keys with expiry and reset, and condition keys that can deny bearer tokens altogether (30). The security page says customer data isn't shared with model providers or used to improve the base models (20). The abuse detection page says Bedrock stores no inputs or outputs by default, and a per-Region none mode blocks models that require retention, but Claude Fable 5 and 5.1 keep all traffic up to 30 days and GPT-6 and GPT-5.x keep flagged traffic up to 30 days (13 of 15, a judgement call; Anthropic's own API got 12 for the same Fable exception without an account-level block). CloudTrail logs API calls, and model invocation logging can send prompts and responses to S3 or CloudWatch Logs (15). Bedrock is in ISO, SOC and CSA STAR Level 2 scope, HIPAA eligible and FedRAMP High in GovCloud (US-West) per its security page, with a vulnerability disclosure programme on HackerOne, and the aws.amazon.com security.txt, expired on 6 October, was renewed with Expires 2027-10-16 when read on 6 November (20). Up from 96 on 6 October for that reason.
DeepInfra 64
Model reading. Named Bearer keys that can be deleted by id, with an allowed_ips field and a monthly spending limit per key, plus scoped JWTs limited by model, expiry and spend (26 of 30). Less 10 because GET /v1/scoped-jwt?jwtoken= is still the documented way to inspect a JWT and puts a live token in the query string. The two deprecated routes that carried the API token in the URL path are no longer in the OpenAPI document (16 of 30). The terms say Customer Data is not used to train, fine-tune or improve any model. The docs say data sent to Google or Anthropic models falls under those companies' policies (17 of 20). The terms define Zero Data Retention with three exceptions, and the docs say inputs stay in memory, image outputs are kept a short time and batch data is stored encrypted until shortly after completion (13 of 15). Usage per key, request costs and deployment logs are in the API. No account audit log was found (8 of 15). The trust centre at trust.deepinfra.com now loads and lists SOC 2, ISO 27001 and HIPAA as compliant, with reports and policies on request, and the privacy policy says the same. No security.txt, disclosure policy or bug bounty was found (10 of 20, as other listings with certification claims and no disclosure route).
Schema & documentation Amazon Bedrock +25
Amazon Bedrock 94
Model reading. No OpenAPI, but the bedrock-runtime and bedrock Smithy models are public in aws/api-models-aws with types, required members and enums, counted as for S3 (25). llms.txt for the user guide with about 2,000 lines, each page with a Markdown twin (10). Model cards state context, output limits, endpoints and supported functions per model, and the guide now recommends bedrock-runtime for new work, but support for each API, endpoint and feature changes model by model (16 of 20). Structured outputs compile JSON Schema to a grammar, with minimum, maximum and string lengths supported, though some inference profiles don't support it, such as Haiku 4.5 through the India profile (13 of 15). Every operation lists typed errors with HTTP codes and links to a troubleshooting page with causes and fixes, and examples run through the guide (15). API version 2023-09-30 and a dated document history with an RSS feed, newest entry 30 October 2026, with structured outputs for Claude on both endpoints added on 18 October (15).
DeepInfra 69
Model reading. Public OpenAPI 3.1.0 document at api.deepinfra.com/openapi.json with 131 paths, 157 operations and 257 schemas on 2 November 2026. llms.txt now links that document, though the docs host's own copy still returns Mintlify's sample plant store document, and the spec lists chat at /v1/chat/completions while every docs example uses /v1/openai/chat/completions (22 of 25). llms.txt with 224 links and a Markdown copy of every docs page (10). Guide pages for tool calling, structured output, caching, batch and service tiers say when to use each. Many reference operations have a name and no description (14 of 20). Typed parameters with 49 enums, 31 chat properties and two required (11 of 15). Curl, Python and JavaScript examples on each page. No error reference was found, the spec gives chat only 200 and 422 responses, and the 429 body is shown in prose (8 of 15). No changelog was found. The spec version reads 1.0.0, and the docs repository on GitHub has a public commit history (4 of 15).
Maintenance & community Amazon Bedrock +20
Amazon Bedrock 81
Model reading. The last model or API change is 30 October 2026 (OpenAI model API support and cross-Region inference in GovCloud), after structured outputs for Claude on both endpoints on 18 October (30). Models launched since 7 September 2026 get a 6-month or 45-day Legacy period, but the legacy page, which promises at least 6 months in Legacy, lists Claude 3 Haiku, 3 Sonnet, 3.5 Sonnet, 3.5 Sonnet v2 and 3.7 Sonnet as Legacy from 10 or 13 October with end of life on 13 November in several Regions, about 34 days (6 of 12, down from 10). Six models reached end of life in the 90 days to 6 November on five dates, Command R and R+ on 19 August, Claude 3 Haiku on 10 September, Nova Sonic on 14 September, Nova Canvas and Nova Reel on 30 September and Claude Sonnet 4 on 14 October (3 of 8, down from 4). Dated document history several times a month, What's New and re:Post, with direct support on a paid plan (12 of 15). SDK issue replies not sampled (5 of 10). Current official SDKs, boto3 1.43.125 on 5 November and @aws-sdk/client-bedrock-runtime 3.1163.0 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later (10). Down from 86 on 6 October.
DeepInfra 61
Model reading. The docs repository changed on 26 October 2026, and on 22 October documented Nemotron 3.5 image embeddings and reranker scores (30). Deprecated models get at least one week's notice by email, then requests are forwarded to a replacement (5 of 12). Churn. In the 90 days to 2 November four redirect dates passed (8, 9, 12 and 25 October, five models), Kimi-K2.7-Code was deprecated before 28 September, and three more are scheduled for 2 and 3 November. Three or more removal dates in 90 days give 0, as groq and fireworks-inference were read (0 of 8, was 4 when the five were only scheduled). No changelog. Support is by Discord and a feedback address, and the docs repository is public (7 of 15). Replies on the SDK repositories were not examined (3 of 10). Python deepinfra 0.3.0 from 12 August 2026 with a changelog. The Node repository tagged 2.1.0 on 1 September 2026, and npm couldn't be read on 2 November, so its 8 October reading of 2.0.2 from 8 May 2024 stands (9 of 15). CI workflows in both SDK repositories (7 of 10). 30 + 5 + 0 + 7 + 3 + 9 + 7 = 61.
Transparency & trust Amazon Bedrock +17
Amazon Bedrock 85
Closed service under the AWS Customer Agreement and Service Terms, with the SDKs and Smithy models under Apache-2.0 (18, as for S3). The data retention, abuse detection and security pages agree that Bedrock stores nothing by default, name the models that retain traffic and for how long, and say retained data isn't shared with providers. The retention page's default mode says AWS 'may retain the data for safety and abuse-prevention purposes' without a period, and a legacy provider_data_share mode is kept though sharing isn't supported (25 of 30). A written lifecycle policy with Legacy and EOL dates per model, but the legacy table's 34-day Legacy periods for five Claude models in some Regions contradict its own 6-month floor (15 of 20, down from 18). AWS's sub-processor list, per the 4 October S3 check, and per-Region, geographic and global inference options, with global routing able to process data in any commercial Region (18 of 20).
DeepInfra 68
Closed service with terms that name the entity and California law, and an MIT licence on the SDKs and docs (15). The terms (last modified 15 October 2026), the privacy policy and the data privacy page agree on no storage and no training, the terms say their retention clause controls, and personal information is removed 30 days after account deletion. The terms now point to a DPA on the trust centre, which lists it among documents available on request, and the entity is written Deep Infra Inc. in the terms and DeepInfra, Inc. in the privacy policy (21 of 30). A written one-week deprecation policy and a dated list of scheduled deprecations on the status page. No record of past removals was found (14 of 20). The sub-processor list names Stripe, Amazon Web Services and Google Cloud Platform, as does the trust centre. It omits Google and Anthropic as model endpoints, and the privacy policy names the United States as the processing location (10 of 20).
Agent ergonomics Amazon Bedrock +15
Amazon Bedrock 92
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Converse takes tools with toolChoice auto, any or a named tool and strict: true, but forced choice depends on the model behind it (17 of 20). Structured outputs on supported models only (13 of 15). Explicit and implicit prompt caching, cache reads at $0.20 per million on Opus 5.5, 0.05x input, with 5-minute and 1-hour TTLs (15). 1M-token context on Opus 5.5, Sonnet 5.5 and Nova 2 Lite, a judgement call since Bedrock has no default model (15). Batch at half price on supported models, but the pricing page shows none for Opus 5.5 or Sonnet 5.5, while Flex is half price on Nova (7 of 10). AWS SDKs in every major language plus token generators for Python, JavaScript and Java (10). Typed errors with recovery advice per code (15).
DeepInfra 77
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with tool_choice of none, auto, required or a named function, and streaming. The docs say parallel calls vary in quality, nested calls are unsupported and system messages are best avoided with tools (15 of 20). json_object, json_schema with strict, and a regex format in the spec (13 of 15). Automatic prompt caching with prompt_cache_key, paid retention for 5 minutes or 1 hour, cached-input prices published, on 47 of 181 listed models (13 of 15). Context of 1,048,576 tokens on DeepSeek V4, Kimi K3 and GLM 5.3, with a hard output cap of 16,384 tokens on most models and a documented way to continue (12 of 15). Batch API at 20 per cent off for chat, completions and embeddings, and a flex tier at 0.8x (10). The OpenAI and Anthropic clients work with a changed base URL. The Python package deepinfra 0.3.0 dates from 12 August 2026, and npm listed 2.0.2 from May 2024 on 8 October (7 of 10). 429 carries an engine_overloaded code. Native routes return a bare error string, and no list of codes was found (7 of 15).
Payments & pricing Amazon Bedrock +10
Amazon Bedrock 30
No x402, MPP or L402 (0). Per-token prices per model, tier and Region on the public pricing page, filled from AWS's public price feed (20). New accounts get up to $200 in Free Tier credits and the Free Tier page lists Bedrock among eligible services, and the Free Tier FAQ says most new customers don't need a payment method, but AWS may still ask for one, so half, as for S3 (10). A person signs up for AWS in a browser and sets up IAM before any key exists (0).
DeepInfra 20
No machine payment protocol (0). Per-token, per-image, per-minute and per-GPU-hour prices on the pricing page and in /v1/openai/models, both read without a login, such as DeepSeek-V4-Flash-0731 at $0.06 in and $0.18 out per 1M tokens (20). No free tier. The pricing page says an account must add a card or prepay (0). A person signs up in a browser, and the key API needs an existing key (0).
Score by category
| Category | Weight this run | Amazon Bedrock | DeepInfra | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 80 | 75 | Amazon Bedrock +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 94 | 69 | Amazon Bedrock +25 |
| Agent ergonomics | 13%16.2 | 92 | 77 | Amazon Bedrock +15 |
| Security & auth | 14%17.5 | 98 | 64 | Amazon Bedrock +34 |
| Payments & pricing | 10%12.5 | 30 | 20 | Amazon Bedrock +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 81 | 61 | Amazon Bedrock +20 |
| Transparency & trust | 7%8.8 | 85 | 68 | Amazon Bedrock +17 |
| Negative events | ≤15 | 0 | 0 | |
| Total | A 81.7/100 | B 63.7/100 |
Facts side by side
| Fact | Amazon Bedrock | DeepInfra |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | Deep Infra Inc. |
| Hosted endpoint | https://bedrock-runtime.us-east-1.amazonaws.com | https://api.deepinfra.com/v1/openai |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under the AWS Customer Agreement and Service Terms. Third-party models carry their providers' licence terms. The AWS SDKs and the Smithy service models are Apache-2.0 | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-30 | 2026-10-26 |
| Terms last updated | 2026-10-01 | 2026-08-17 |
| Privacy policy last updated | 2026-05-18 | 2026-08-15 |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 21.8M npm/wk | 21 stars, 1.2k npm/wk, 50 PyPI/wk |
| Agent reviews | none | 3.5/5 (4) |
What the same task costs
| Task | Amazon Bedrock | DeepInfra |
|---|---|---|
| Research a product and write a sourced reportanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4-Flash-0731 on DeepInfra | $43.88 | $0.18 |
| Build a small four-page websiteanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4-Flash-0731 on DeepInfra | $10.03 | $0.05 |
| Find and fix a bug in a large codebaseanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4-Flash-0731 on DeepInfra | $2.16 | $0.01 |
Estimated from each listing's published prices, the same tasks as on the price index. Plans, minimums and free allowances aren't counted.
How the scores have moved
Amazon Bedrock
No score change since it was listed.
Verdicts
Amazon Bedrock
Bedrock reaches Claude, GPT-6, Nova, Llama and other families through one IAM-controlled API, with a 99.9 per cent SLA and a per-Region zero-retention switch. Setup needs an AWS account, IAM permissions and a Region, capabilities vary by model, and some Regions gave five older Claude models about 34 days of notice.
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 (five in October, three more due by 3 November), and there is no changelog or SLA.
Before you call either
Amazon Bedrock
- Use the geographic or global inference ID from the model card, such as
global.anthropic.claude-opus-5-5. Global routing is cheaper but can process data in any commercial Region - Set
data_retention_modetononein each Region before sending sensitive data. Models that need retention then return ValidationException - Back off with jitter on 429 ThrottlingException, 503 and 529
overloaded_error, and honourRetry-Afterwhen it's sent - Generate short-term API keys from an IAM role for production. Long-term keys create an IAM user and AWS marks them exploration only
- Call ListFoundationModels in your Region and read
modelLifecyclebefore pinning a model ID. Claude 3.x IDs in several Regions stop working on 13 November 2026 and requests don't redirect
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
Questions
Which is better for AI agents, Amazon Bedrock or DeepInfra?
Amazon Bedrock scores 81.7 (A) on agent readiness against DeepInfra's 63.7 (B), and leads in every scored category.
Do Amazon Bedrock and DeepInfra need an API key?
Amazon Bedrock takes an API key or an OAuth sign-in. DeepInfra needs an API key.
Can an agent call Amazon Bedrock and DeepInfra without installing anything?
Yes. Amazon Bedrock has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and DeepInfra at https://api.deepinfra.com/v1/openai.
Other comparisons with Amazon Bedrock or DeepInfra
- Amazon Bedrock vs Claude API
- Amazon Bedrock vs Antseed
- Amazon Bedrock vs Azure OpenAI in Foundry Models
- Amazon Bedrock vs BlockRun.AI
- Amazon Bedrock vs Cerebras Inference
- Amazon Bedrock vs Cloudflare AI Gateway
- Amazon Bedrock vs Cloudflare Workers AI
- Amazon Bedrock vs Cohere Chat API (Command models)
- Amazon Bedrock vs DeepSeek API
- Amazon Bedrock vs Eden AI
- Amazon Bedrock vs Glimpse
- Amazon Bedrock vs Fireworks AI Inference
- Amazon Bedrock vs Gemini Developer API
- Amazon Bedrock vs GroqCloud
- Amazon Bedrock vs Hugging Face Inference Providers
- Amazon Bedrock vs Inkling 2 Small
- Amazon Bedrock vs Jais 3
- Amazon Bedrock vs Meta Model API
- Amazon Bedrock vs MiniMax API
- Amazon Bedrock vs Mistral AI API
- Amazon Bedrock vs Muse Spark Open
- Amazon Bedrock vs Nemotron 3.5 Super VL
- Amazon Bedrock vs Novita AI
- Amazon Bedrock vs OpenAI API
- Amazon Bedrock vs OpenRouter
- Amazon Bedrock vs Prism Inference
- Amazon Bedrock vs Router.com (Ramp Router)
- Amazon Bedrock vs Beam 1.0
- Amazon Bedrock vs RouterPlus
- Amazon Bedrock vs SambaCloud
- Amazon Bedrock vs SiliconFlow
- Amazon Bedrock vs Simplismart
- Amazon Bedrock vs StepFun API
- Amazon Bedrock vs SWE-2 Flash
- Amazon Bedrock vs Tencent Cloud TokenHub
- Amazon Bedrock vs Together AI Inference
- Amazon Bedrock vs Vercel AI Gateway
- Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)
- Amazon Bedrock vs xAI API (Grok)
- Claude API vs DeepInfra
- Antseed vs DeepInfra
- Azure OpenAI in Foundry Models vs DeepInfra
- BlockRun.AI vs DeepInfra
- Cerebras Inference vs DeepInfra
- Cloudflare AI Gateway vs DeepInfra
- Cloudflare Workers AI vs DeepInfra
- Cohere Chat API (Command models) vs DeepInfra
- DeepInfra vs DeepSeek API
- DeepInfra vs Eden AI
- DeepInfra vs Glimpse
- DeepInfra vs Fireworks AI Inference
- DeepInfra vs Gemini Developer API
- DeepInfra vs GroqCloud
- DeepInfra vs Hugging Face Inference Providers
- DeepInfra vs Inkling 2 Small
- DeepInfra vs Jais 3
- DeepInfra vs Meta Model API
- DeepInfra vs MiniMax API
- DeepInfra vs Mistral AI API
- DeepInfra vs Muse Spark Open
- DeepInfra vs Nemotron 3.5 Super VL
- DeepInfra vs Novita AI
- DeepInfra vs OpenAI API
- DeepInfra vs OpenRouter
- DeepInfra vs Prism Inference
- DeepInfra vs Router.com (Ramp Router)
- DeepInfra vs Beam 1.0
- DeepInfra vs RouterPlus
- DeepInfra vs SambaCloud
- DeepInfra vs SiliconFlow
- DeepInfra vs Simplismart
- DeepInfra vs StepFun API
- DeepInfra vs SWE-2 Flash
- DeepInfra vs Tencent Cloud TokenHub
- DeepInfra vs Together AI Inference
- DeepInfra vs Vercel AI Gateway
- DeepInfra vs Vertex AI (Gemini Enterprise Agent Platform)
- DeepInfra vs xAI API (Grok)
Machine-readable
- This page as Markdown
/compare/amazon-bedrock-vs-deepinfra.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/amazon-bedrock.json·/api/v1/tools/deepinfra.json - From a terminal
anchor compare amazon-bedrock deepinfra(the CLI) - Over MCP
compare_tools {"a": "amazon-bedrock", "b": "deepinfra"}at/mcp, no key