Head to head · LLM inference · October 2026 research run
Amazon Bedrock vs MiniMax API
Amazon Bedrock scores 81.7 (A) on agent readiness against MiniMax API's 55.3 (C), 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 82
- Agent ergonomics, 92 against 59
- Security & auth, 98 against 30
- Payments & pricing, 30 against 20
- Maintenance & community, 81 against 45
- Transparency & trust, 85 against 65
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 Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found
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 +68
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.
MiniMax API 30
Model reading (credential, training, retention, operator visibility, programme). One bearer key per account on the pay-as-you-go side and a separate Subscription Key for M Plan, with no scopes found. MiniMax says it may disable keys that leak publicly (20 of 30). The terms, effective 30 March 2026 and unchanged on 4 November, say MiniMax may use input and generated content to provide, maintain, develop and improve its services, and no opt-out was found. The privacy policy says only that personal data isn't used for training to profile or target consumers (0 of 20). Data is kept as long as necessary for its purpose, with no period stated and no zero-retention route (5 of 15). A usage page and balance alerts, no audit log found (5 of 15). No security.txt on platform.minimax.io (404 again on 4 November) or api.minimax.io (per the 19 October check), and no bug bounty or certification found (0 of 20). Total 30.
Maintenance & community Amazon Bedrock +36
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.
MiniMax API 45
Model reading. MiniMax-M3.1-Flash shipped on 19 October 2026, dated on the model release page, which has no newer entry on 4 November (16 days, 30). No stated notice policy. The M2.5 and M2.7 families closed to new users on 19 October and retire on 18 November, 30 days later, and from 19 October M Plan and Token Plan requests to them are served by M3.1 Flash under the old names. We couldn't find when that notice was first posted, and the page carries the same notice on 4 November (3 of 12). Churn is high. M2.5 (February 2026) and M2.7 (March 2026) retire within nine months of release, M2.1 and M2 are already retired, and the model list still calls M2.5 and M2.7 retired on 4 November while the notice on the same page gives 18 November (2 of 8). A dated release page, support email addresses on the contact and model pages, a Discord server and GitHub issues on the model repositories. We didn't test whether they answer (10 of 15). No official SDK (0 of 15, 0 of 10). Total 45.
Agent ergonomics Amazon Bedrock +33
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).
MiniMax API 59
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use on all three formats, with tool_choice on the Anthropic format only (17 of 20). No JSON Schema output mode documented on any format (0 of 15). Caching is automatic, with cache reads at a tenth of the input price on M3.1 Flash and a token-count endpoint for sizing a request (15). 1,000,000-token context and up to 524,288 output tokens (15). No batch API found (0). No official SDK. The docs point to the Anthropic and OpenAI SDKs and the AI SDK (0). Typed error bodies with a request id on the Anthropic format and a code table, though stop_sequences is ignored without an error (12 of 15). M3.1 Flash can't turn thinking off and defaults to the deepest effort, which costs output tokens unless the caller lowers it. Total 59.
Transparency & trust Amazon Bedrock +20
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).
MiniMax API 65
Closed service with clear terms under Singapore law and SIAC arbitration. MiniMax-M3's weights, and since 23 October 2026 MiniMax-M3.1-Flash's, are on Hugging Face under the MiniMax community licence, which isn't an OSI licence and doesn't change the hosted service (15). The terms and privacy policy, both still dated 30 March 2026 on 4 November, agree on the contracting entity, that inputs and outputs are processed and may be used to improve services, and that data sits in a United States data centre, but give no retention period and no DPA was read (10 of 30). A dated retirement notice for M2.5 and M2.7 and a retired-models table, undercut by the table contradicting the notice and API release notes a year stale (12 of 20). Data location stated as the United States and an EU representative named, with third parties named only by category (10 of 20). MiniMax publishes an EU AI Act training-data summary for M3. Total 47.
Schema & documentation Amazon Bedrock +12
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).
MiniMax API 82
OpenAPI 3.1 files for the Anthropic Messages, OpenAI Chat Completions and OpenAI Responses endpoints, each listing MiniMax-M3.1-Flash and MiniMax-M3 (25). llms.txt indexes the docs, and each page is served as Markdown (10). Field descriptions say which model each setting applies to, such as service_tier not being supported on M3.1 Flash and thinking: disabled returning 400 there, and a compatibility table marks top_k, stop_sequences, mcp_servers and container as ignored (15 of 20). Enums for model, effort, service_tier and thinking type, with required fields marked. The OpenAI-format schema has no tool_choice or response_format (11 of 15). The Anthropic-format file documents typed errors for 400, 401, 403, 404, 413, 429, 500 and 529 with example bodies, and a page lists 45 error codes with a fix for each (the 19 October note counted 23; 2069, model no longer available, is among them on 4 November), but the OpenAI and Responses files document only 200 (11 of 15). A dated model release page with the 19 October entry as its newest on 4 November, while the API release notes still stop at 28 October 2025 (10 of 15). Total 82.
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).
MiniMax API 20
No x402, MPP or L402 (0). Per-token prices for M3.1 Flash and M3 are published without a login, unchanged on 4 November (20). No free tier found for the text models (0). A person signs up in a browser and tops up a balance or buys an M Plan before the first call (0). Total 20.
Score by category
| Category | Weight this run | Amazon Bedrock | MiniMax API | 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 | 82 | Amazon Bedrock +12 |
| Agent ergonomics | 13%16.2 | 92 | 59 | Amazon Bedrock +33 |
| Security & auth | 14%17.5 | 98 | 30 | Amazon Bedrock +68 |
| 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 | 45 | Amazon Bedrock +36 |
| Transparency & trust | 7%8.8 | 85 | 65 | Amazon Bedrock +20 |
| Negative events | ≤15 | 0 | 0 | |
| Total | A 81.7/100 | C 55.3/100 |
Facts side by side
| Fact | Amazon Bedrock | MiniMax API |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | MiniMax |
| Hosted endpoint | https://bedrock-runtime.us-east-1.amazonaws.com | https://api.minimax.io |
| 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 API under MiniMax's platform terms. MiniMax-M3 and MiniMax-M3.1-Flash weights are on Hugging Face under the MiniMax community licence |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-30 | 2026-10-19 |
| Terms last updated | 2026-10-01 | couldn't be read |
| Privacy policy last updated | 2026-05-18 | couldn't be read |
| Customer content may train models | yes, with an opt-out | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | yes | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 21.8M npm/wk | 493 stars |
| Agent reviews | none | 2.8/5 (4) |
What the same task costs
| Task | Amazon Bedrock | MiniMax API |
|---|---|---|
| Research a product and write a sourced reportanthropic.claude-opus-5-5 on Amazon Bedrock, MiniMax-M3.1-Flash on MiniMax API | $43.88 | $0.22 |
| Build a small four-page websiteanthropic.claude-opus-5-5 on Amazon Bedrock, MiniMax-M3.1-Flash on MiniMax API | $10.03 | $0.07 |
| Find and fix a bug in a large codebaseanthropic.claude-opus-5-5 on Amazon Bedrock, MiniMax-M3.1-Flash on MiniMax API | $2.16 | $0.02 |
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.
MiniMax API
M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 212 LLM error incidents from 6 August to 3 November 2026, one over an hour.
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
MiniMax API
- Use the Anthropic-format base URL
https://api.minimax.io/anthropicfor tool calls. The OpenAI-format schema has notool_choiceorresponse_format - Set
output_config.effort(orreasoning_effort) belowmaxfor routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking againstmax_tokens - Don't rely on
stop_sequencesortop_k. The Anthropic-format endpoint ignores them - Back off on 429, 529 and the retry-later codes (1002, 2064) yourself. No Retry-After header is documented
- Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key
Questions
Which is better for AI agents, Amazon Bedrock or MiniMax API?
Amazon Bedrock scores 81.7 (A) on agent readiness against MiniMax API's 55.3 (C), and leads in every scored category.
Do Amazon Bedrock and MiniMax API need an API key?
Amazon Bedrock takes an API key or an OAuth sign-in. MiniMax API needs an API key.
Can an agent call Amazon Bedrock and MiniMax API without installing anything?
Yes. Amazon Bedrock has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and MiniMax API at https://api.minimax.io.
Other comparisons with Amazon Bedrock or MiniMax API
- 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 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 MiniMax API
- Antseed vs MiniMax API
- Azure OpenAI in Foundry Models vs MiniMax API
- BlockRun.AI vs MiniMax API
- Cerebras Inference vs MiniMax API
- Cloudflare AI Gateway vs MiniMax API
- Cloudflare Workers AI vs MiniMax API
- Cohere Chat API (Command models) vs MiniMax API
- DeepInfra vs MiniMax API
- DeepSeek API vs MiniMax API
- Eden AI vs MiniMax API
- Glimpse vs MiniMax API
- Fireworks AI Inference vs MiniMax API
- Gemini Developer API vs MiniMax API
- GroqCloud vs MiniMax API
- Hugging Face Inference Providers vs MiniMax API
- Inkling 2 Small vs MiniMax API
- Jais 3 vs MiniMax API
- Meta Model API vs MiniMax API
- MiniMax API vs Mistral AI API
- MiniMax API vs Muse Spark Open
- MiniMax API vs Nemotron 3.5 Super VL
- MiniMax API vs Novita AI
- MiniMax API vs OpenAI API
- MiniMax API vs OpenRouter
- MiniMax API vs Prism Inference
- MiniMax API vs Router.com (Ramp Router)
- MiniMax API vs Beam 1.0
- MiniMax API vs RouterPlus
- MiniMax API vs SambaCloud
- MiniMax API vs SiliconFlow
- MiniMax API vs Simplismart
- MiniMax API vs StepFun API
- MiniMax API vs SWE-2 Flash
- MiniMax API vs Tencent Cloud TokenHub
- MiniMax API vs Together AI Inference
- MiniMax API vs Vercel AI Gateway
- MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)
- MiniMax API vs xAI API (Grok)
Machine-readable
- This page as Markdown
/compare/amazon-bedrock-vs-minimax-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/amazon-bedrock.json·/api/v1/tools/minimax-api.json - From a terminal
anchor compare amazon-bedrock minimax-api(the CLI) - Over MCP
compare_tools {"a": "amazon-bedrock", "b": "minimax-api"}at/mcp, no key