Head to head · LLM inference · October 2026 research run
Amazon Bedrock vs SiliconFlow
Amazon Bedrock scores 81.7 (A) on agent readiness against SiliconFlow's 42.9 (E), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing. 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 33
- Schema & documentation, 94 against 65
- Agent ergonomics, 92 against 60
- Security & auth, 98 against 39
- Maintenance & community, 81 against 37
- Transparency & trust, 85 against 52
Also in its favour
- Agent-ready, a grade of BB or better
- No incidents deducted, where SiliconFlow loses 3 points for them
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 recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.
Ahead on
- Payments & pricing, 35 against 30
Watch for
No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment
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 +59
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.
SiliconFlow 39
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Bearer keys created in the console. No scopes, expiry, per-key limits or rotation are documented, and deletion of a key was not confirmed because the console was not read (15 of 30). The terms say Interaction Data is used only to supply the service and is not used or disclosed without authorisation. No statement on model training was found (12 of 20). The terms say there is no obligation to store Interaction Data. No retention period or zero-retention option is stated, and clause 5.11 allows communications to be recorded and passed to the authorities (6 of 15). The release note of 26 March 2026 describes usage and cost breakdowns and invoice export, and the pricing FAQ says monthly spending limits can be set. No audit log was found (6 of 15). No security.txt (404), disclosure policy, bug bounty or named certification was found on the pages read. The product introduction says the service complies with industry standards and names none (0 of 20). 15+12+6+6+0 = 39.
Reliability Amazon Bedrock +47
Amazon Bedrock 80
AWS Health Dashboard with per-service, per-Region feeds and a public history file (20). The history lists Amazon Bedrock as disrupted in ME-CENTRAL-1 (UAE) and ME-SOUTH-1 (Bahrain) since March 2026, where AWS said on 15 September 2026 (still inside the 90-day window on 6 November) that it can't restore resources held only there. No other Bedrock event appears in the history in the 90 days to 6 November; an EU-SOUTH-2 packet-loss event on 4 October named Bedrock AgentCore, not Bedrock. This counts as one major event (10). StatusGator's third-party mirror shows 'Increased Error Rates' warnings on 24, 26 and 27 August and 10 September that we couldn't find in AWS's own history, so we didn't score them. Per-model token quotas with default values in the AWS General Reference, such as 30,000,000 tokens a minute for Opus 5.5 global inference (15). The error guide gives exponential backoff with jitter for 429, 503 and 529 and says to honour Retry-After, and the SDKs retry ModelNotReadyException up to five times (15). SLA of 99.9 per cent a month per Region for the model APIs, last updated 4 October 2023 (10). Converse and the current Claude, GPT-6 and Nova 2 Lite models are GA (10).
SiliconFlow 33
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Hosted reading. No status page is linked from the site, the docs index or any page read (0). With no page there is no incident record to read (5 of 30). Rate limits are published with numbers by spend tier, from 1,000 requests and 40,000 tokens a minute at L0 to 10,000 and 2,000,000 at L5, on a page served only in Chinese, with per-model figures left to the console (12 of 15). The 429 body is documented and names the limit reached, and the docs say to wait and retry. No Retry-After header, backoff figures or idempotency guidance were found (6 of 15). No SLA found. Clause 4.2 of the terms disclaims any uptime or availability commitment (0). The serverless API is generally available, and /systemone is marked alpha (10). 0+5+12+6+0+10 = 33.
Maintenance & community Amazon Bedrock +44
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.
SiliconFlow 37
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Model reading, per the 9 October check, not re-read on 5 November. Hy4-preview is listed as released on 14 September 2026, 52 days before this check, and no later model or API change was recorded; blog post dates record no API change (20). No notice period is stated. Six removal notices from 31 December 2025 to 11 June 2026 are dated the day of removal, and two in March 2026 gave six and seven days (2 of 12). The release notes record about 60 model ids removed in ten notices over the last twelve months (2 of 8). The release notes stop at 11 June 2026 while nine chat models were added afterwards. Support is by email and Discord (6 of 15). Replies in the support channels were not examined (2 of 10). No official SDK. The langchain-siliconflow repository in the vendor's GitHub organisation was last changed on 12 December 2025 (version 0.2.3), confirmed from a clone on 5 November (3 of 15). The API description and two guides are out of date (2 of 10). 20+2+2+6+2+3+2 = 37.
Transparency & trust Amazon Bedrock +33
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).
SiliconFlow 52
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Closed service. The Terms of Use name the entity, Singapore law and SIAC arbitration. They also grant a licence "for in Singapore" and forbid use for any commercial purposes, which sits oddly with a paid API (10 of 30). The terms and the privacy policy agree that Interaction Data is processed on the customer's instructions with no obligation to store it. No retention period or DPA was found, and the privacy policy keeps drafting brackets around several values (12 of 30). Dated removal notices in the release notes, with no written policy or notice period (8 of 20). Stripe is named as payment processor and other providers only by type. Data may be handled within or outside Singapore, with no locations given (4 of 20). 10+12+8+4 = 34.
Agent ergonomics Amazon Bedrock +32
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).
SiliconFlow 60
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI-style tools with up to 128 functions, and each model page says whether Tools are supported. No tool_choice field is in the chat schema and the guide is out of date (12 of 20). response_format of json_object. The DeepSeek-V4.1-Flash page says Structured Outputs are not supported (7 of 15). Cached input prices are published per model. No caching guide was found (8 of 15). Context listed as 1049K tokens on eleven chat models on the home page, with output up to 393K (14 of 15). /files and /batches are in the OpenAPI file for chat completions only, with no guide in the English index, no batch price and a window description that contradicts itself (5 of 10). No official SDK. The OpenAI and Anthropic clients work with a changed base URL (6 of 10). Errors carry an HTTP status, a numeric code and a message. No list of codes was found (8 of 15). 12+7+8+14+5+6+8 = 60.
Schema & documentation Amazon Bedrock +29
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).
SiliconFlow 65
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Public OpenAPI 3.0 file with 22 operations and 102 schemas, linked from llms.txt under the Chinese path only. Its chat model enum of 71 ids includes removed models and omits every model added since July 2026 (19 of 25). llms.txt and a Markdown copy of each docs page (10). Guides for function calling, JSON mode, reasoning, prefix and FIM completion. The function calling guide lists only models the release notes show as removed, and its examples use DeepSeek-V2.5 (10 of 20). Typed parameters with 104 enums and required fields. response_format is typed as a bare string with an example (10 of 15). Curl and Python examples, an error page with seven HTTP codes and one body code, and 400, 401, 404, 429, 503 and 504 responses in the file (9 of 15). The file's version reads 1.0.0. The release notes are dated, stop at 11 June 2026 and since March 2026 record only model removals (7 of 15). 19+10+10+10+9+7 = 65.
Score by category
| Category | Weight this run | Amazon Bedrock | SiliconFlow | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 80 | 33 | Amazon Bedrock +47 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 94 | 65 | Amazon Bedrock +29 |
| Agent ergonomics | 13%16.2 | 92 | 60 | Amazon Bedrock +32 |
| Security & auth | 14%17.5 | 98 | 39 | Amazon Bedrock +59 |
| Payments & pricing | 10%12.5 | 30 | 35 | SiliconFlow +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 81 | 37 | Amazon Bedrock +44 |
| Transparency & trust | 7%8.8 | 85 | 52 | Amazon Bedrock +33 |
| Negative events | ≤15 | 0 | -3 | |
| Total | A 81.7/100 | E 42.9/100 |
Facts side by side
| Fact | Amazon Bedrock | SiliconFlow |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | https://bedrock-runtime.us-east-1.amazonaws.com | https://api.siliconflow.com/v1 |
| 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 SiliconFlow Terms of Use |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-30 | 2026-09-14 |
| Terms last updated | 2026-10-01 | no date given |
| Privacy policy last updated | 2026-05-18 | no date given |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 21.8M npm/wk | none |
| Agent reviews | none | 2.5/5 (4) |
What the same task costs
| Task | Amazon Bedrock | SiliconFlow |
|---|---|---|
| Research a product and write a sourced reportanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4.1-Flash on SiliconFlow | $43.88 | $0.09 |
| Build a small four-page websiteanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4.1-Flash on SiliconFlow | $10.03 | $0.05 |
| Find and fix a bug in a large codebaseanthropic.claude-opus-5-5 on Amazon Bedrock, deepseek-ai/DeepSeek-V4.1-Flash on SiliconFlow | $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.
SiliconFlow
Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.
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
SiliconFlow
- Set the OpenAI client's base URL to
https://api.siliconflow.com/v1, or the Anthropic client's tohttps://api.siliconflow.com/, and send the key as a Bearer token - Take model ids from the model pages or
GET /v1/models, not from the OpenAPI enum or the function calling guide, which list removed models - Check the
modelfield of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models - Use
response_formatofjson_objectonly where the model page says JSON Mode is supported, and keepmax_tokensabout 10,000 below the context length - Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash
Questions
Which is better for AI agents, Amazon Bedrock or SiliconFlow?
Amazon Bedrock scores 81.7 (A) on agent readiness against SiliconFlow's 42.9 (E), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing.
Do Amazon Bedrock and SiliconFlow need an API key?
Amazon Bedrock takes an API key or an OAuth sign-in. SiliconFlow needs an API key.
Can an agent call Amazon Bedrock and SiliconFlow without installing anything?
Yes. Amazon Bedrock has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and SiliconFlow at https://api.siliconflow.com/v1.
Other comparisons with Amazon Bedrock or SiliconFlow
- 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 DeepInfra
- 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 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 SiliconFlow
- Antseed vs SiliconFlow
- Azure OpenAI in Foundry Models vs SiliconFlow
- BlockRun.AI vs SiliconFlow
- Cerebras Inference vs SiliconFlow
- Cloudflare AI Gateway vs SiliconFlow
- Cloudflare Workers AI vs SiliconFlow
- Cohere Chat API (Command models) vs SiliconFlow
- DeepInfra vs SiliconFlow
- DeepSeek API vs SiliconFlow
- Eden AI vs SiliconFlow
- Glimpse vs SiliconFlow
- Fireworks AI Inference vs SiliconFlow
- Gemini Developer API vs SiliconFlow
- GroqCloud vs SiliconFlow
- Hugging Face Inference Providers vs SiliconFlow
- Inkling 2 Small vs SiliconFlow
- Jais 3 vs SiliconFlow
- Meta Model API vs SiliconFlow
- MiniMax API vs SiliconFlow
- Mistral AI API vs SiliconFlow
- Muse Spark Open vs SiliconFlow
- Novita AI vs SiliconFlow
- OpenAI API vs SiliconFlow
- OpenRouter vs SiliconFlow
- Prism Inference vs SiliconFlow
- Router.com (Ramp Router) vs SiliconFlow
- Beam 1.0 vs SiliconFlow
- RouterPlus vs SiliconFlow
- SambaCloud vs SiliconFlow
- SiliconFlow vs Simplismart
- SiliconFlow vs StepFun API
- SiliconFlow vs SWE-2 Flash
- SiliconFlow vs Tencent Cloud TokenHub
- SiliconFlow vs Together AI Inference
- SiliconFlow vs Vercel AI Gateway
- SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)
- SiliconFlow vs xAI API (Grok)
- Nemotron 3.5 Super VL vs SiliconFlow
Machine-readable
- This page as Markdown
/compare/amazon-bedrock-vs-siliconflow.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/amazon-bedrock.json·/api/v1/tools/siliconflow.json - From a terminal
anchor compare amazon-bedrock siliconflow(the CLI) - Over MCP
compare_tools {"a": "amazon-bedrock", "b": "siliconflow"}at/mcp, no key