Head to head · LLM inference · October 2026 research run

MiniMax API vs Nemotron 3.5 Super VL

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against MiniMax API's 55.2 (C), and leads in 4 of 7 scored categories. MiniMax API leads on reliability, schema & documentation and transparency & trust. Both do llm inference.

Best model APIs and inference for AI agents · All 436 models comparisons

Which one, for what

MiniMax API C

Best for Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.

Ahead on

  • Reliability, 75 against 58
  • Schema & documentation, 82 against 74
  • Transparency & trust, 64 against 59

Watch for

The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found

Nemotron 3.5 Super VL C

Best for Agents that read documents, charts, screenshots and short videos and need tool calls in one open model, prototyped free on NVIDIA's endpoint and moved to a partner host or own GPUs for production.

Ahead on

  • Agent ergonomics, 65 against 59
  • Security & auth, 51 against 30
  • Payments & pricing, 35 against 20
  • Maintenance & community, 71 against 45

Also in its favour

  • Free to start without a card

Watch for

NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting

Score by category

CategoryWeight this runMiniMax APINemotron 3.5 Super VLEdge
Reliability16%207558MiniMax API +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28274MiniMax API +8
Agent ergonomics13%16.25965Nemotron 3.5 Super VL +6
Security & auth14%17.53051Nemotron 3.5 Super VL +21
Payments & pricing10%12.52035Nemotron 3.5 Super VL +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84571Nemotron 3.5 Super VL +26
Transparency & trust7%8.86459MiniMax API +5
Negative events≤1500
TotalC 55.2/100C 58.9/100

Facts side by side

FactMiniMax APINemotron 3.5 Super VL
KindModel APIModel API
VendorMiniMaxNVIDIA
Hosted endpointhttps://api.minimax.iohttps://integrate.api.nvidia.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per useFree
x402nono
LicenceProprietary API under MiniMax's platform terms. MiniMax-M3 weights are on Hugging Face under the MiniMax community licenceOpenMDW-1.1 for the weights (permissive, not an OSI licence). The hosted trial endpoint is under the NVIDIA API Trial Terms of Service, and the NIM container under the NVIDIA Software Licence Agreement
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-192026-10-15
Terms last updatedcouldn't be read
Privacy policy last updatedcouldn't be readno date given
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity493 starsnone
Agent reviews2.8/5 (4)3/5 (4)

Verdicts

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 23 short LLM incidents in the week to 19 October 2026.

Nemotron 3.5 Super VL

NVIDIA's free endpoint takes OpenAI-format requests with typed tool calls, JSON Schema output and an OpenAPI 3.1 file, and the weights run anywhere under a permissive licence. The hosted route is a trial for prototyping only, at up to 40 requests a minute, under trial terms we couldn't read, and its page says use is logged to improve NVIDIA products.

Before you call either

MiniMax API

  1. Use the Anthropic-format base URL https://api.minimax.io/anthropic for tool calls. The OpenAI-format schema has no tool_choice or response_format
  2. Set output_config.effort (or reasoning_effort) below max for routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking against max_tokens
  3. Don't rely on stop_sequences or top_k. The Anthropic-format endpoint ignores them
  4. Back off on 429 and 529 yourself. No Retry-After header is documented
  5. 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

Nemotron 3.5 Super VL

  1. Set chat_template_kwargs to {"enable_thinking": false} for short tasks. Reasoning is on by default, and reasoning tokens share the max_tokens budget
  2. Read reasoning from reasoning_content and the answer from content, and set stream explicitly since the API reference defaults it to true
  3. Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged
  4. Back off and retry on throttling. Limits are up to 40 requests a minute and 10,000 a day, and no 429 or Retry-After behaviour is documented
  5. For production, use a partner endpoint or serve the weights. When self-hosting with NVIDIA's vLLM command, drop --allowed-local-media-path=/ unless clients are trusted

Questions

Which is better for AI agents, MiniMax API or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against MiniMax API's 55.2 (C), and leads in 4 of 7 scored categories. MiniMax API leads on reliability, schema & documentation and transparency & trust.

Do MiniMax API and Nemotron 3.5 Super VL need an API key?

Both need an API key.

Can an agent call MiniMax API and Nemotron 3.5 Super VL without installing anything?

Yes. MiniMax API has a hosted endpoint at https://api.minimax.io and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.

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