Modular Cloud models in Big-AGI

Open models on NVIDIA and AMD GPUs, from the team behind Mojo and MAX. Your key, Modular's rates, no markup.

Open models, served fast

Modular Cloud is the hosted endpoint of the MAX and Mojo team, now part of Qualcomm: open-weights models on NVIDIA and AMD GPUs, pay per token. Of the three models we compared across hosts, Modular served each one fastest:

ModelOn ModularElsewhere, same day
MiniMax M3~238 tok/s, first token 257 ms64 (MiniMax API) · 138 (OpenRouter)
Kimi K2.7 Code~170 tok/s57 (Moonshot API)
Gemma 4 31B~199 tok/s, first token 231 ms132 (OpenRouter)

Measured August 13, 2026 from a US connection, best of two ~200-token streaming runs; not a benchmark. Re-measured quarterly.

Free to try: new accounts currently include $10 of API credit, enough to try every model on this page.

Models are served as NVIDIA NVFP4 4-bit quantized builds, disclosed in the response's model field. Our small task checks found no quality difference against full-precision hosts.

Web UI for a self-hosted MAX server

MAX is the same engine as a free download: it runs on NVIDIA, AMD and Apple Silicon and serves the same OpenAI-compatible API from your own machine - get MAX from Modular. Big-AGI connects to it through the same Modular vendor, as a second endpoint next to the cloud one.

All supported Modular models

ModelContextInputOutputReleased

Qwen3.8 27B

VisionReasoningTools / functions

Qwen3.8 27B open-weights dense vision-language model, reasoning on by default (effort control). Served as NVFP4 (4-bit) quantization, 256K context on the share…

262K

-

-

Aug 2026

GLM 5.3

ReasoningTools / functions

Zhipu GLM-5.3, post-trained on the GLM-5.2 base for frontier coding and long-horizon agentic work, reasoning on by default (effort control), text-only. 512K co…

524K

$1.40

$4.40

Aug 2026

GLM 5.2

deprecated
ReasoningTools / functions

Zhipu GLM-5.2 open-weights coding/agentic MoE (753B, ~40B active), reasoning on by default (effort control), text-only. Served as NVIDIA NVFP4 (4-bit) quantiza…

1M

$1.40

$4.40

Jun 2026

Kimi K2.7 Code

deprecated
VisionReasoningTools / functions

Moonshot Kimi K2.7 Code, agentic coding model with always-on reasoning. Served as NVIDIA NVFP4 (4-bit) quantization.

262K

$0.60

$3.00

Jun 2026

MiniMax M3

VisionReasoningTools / functions

1M-context multimodal MoE with default-on reasoning. Served as NVIDIA NVFP4 (4-bit) quantization on Modular Cloud shared endpoints.

1M

$0.30

$1.20

May 2026

Gemma 4 31B

VisionTools / functions

Google Gemma 4 31B instruction-tuned, text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

262K

$0.25

$0.65

Apr 2026

Gemma 4 26B A4B

deprecated
VisionTools / functions

Google Gemma 4 26B MoE (4B active), text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

262K

$0.15

$0.60

Apr 2026

Gemma 4 31B

VisionTools / functions

Google Gemma 4 31B instruction-tuned, text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

262K

$0.25

$0.65

Apr 2026

FLUX.2 Klein 4B

deprecated
Tools / functions

Model served via Modular.

no spec

Qwen3.8 27B

Aug 2026

Qwen3.8 27B open-weights dense vision-language model, reasoning on by default (effort control). Served as NVFP4 (4-bit) quantization, 256K context on the share…

VisionReasoningTools / functions
262K · in - · out -

GLM 5.3

Aug 2026

Zhipu GLM-5.3, post-trained on the GLM-5.2 base for frontier coding and long-horizon agentic work, reasoning on by default (effort control), text-only. 512K co…

ReasoningTools / functions
524K · in $1.40 · out $4.40

GLM 5.2

deprecated
Jun 2026

Zhipu GLM-5.2 open-weights coding/agentic MoE (753B, ~40B active), reasoning on by default (effort control), text-only. Served as NVIDIA NVFP4 (4-bit) quantiza…

ReasoningTools / functions
1M · in $1.40 · out $4.40

Kimi K2.7 Code

deprecated
Jun 2026

Moonshot Kimi K2.7 Code, agentic coding model with always-on reasoning. Served as NVIDIA NVFP4 (4-bit) quantization.

VisionReasoningTools / functions
262K · in $0.60 · out $3.00

MiniMax M3

May 2026

1M-context multimodal MoE with default-on reasoning. Served as NVIDIA NVFP4 (4-bit) quantization on Modular Cloud shared endpoints.

VisionReasoningTools / functions
1M · in $0.30 · out $1.20

Gemma 4 31B

Apr 2026

Google Gemma 4 31B instruction-tuned, text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

VisionTools / functions
262K · in $0.25 · out $0.65

Gemma 4 26B A4B

deprecated
Apr 2026

Google Gemma 4 26B MoE (4B active), text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

VisionTools / functions
262K · in $0.15 · out $0.60

Gemma 4 31B

Apr 2026

Google Gemma 4 31B instruction-tuned, text+image input. Served as NVIDIA NVFP4 (4-bit) quantization.

VisionTools / functions
262K · in $0.25 · out $0.65

FLUX.2 Klein 4B

deprecated

Model served via Modular.

Tools / functions
no spec
9 models · sorted by release date · prices in USD per 1M tokens · refreshed hourlyCompare every model across vendors ->

Get started in 3 steps

1

Create an API key at the Modular console.

2

Paste it into Big-AGI's model settings.

3

Start chatting, or Beam it against other models and fuse the answers.

Good to know

  • Keys expire on a set date and are recreated at the console, not renewed.
  • Accounts start at 60 requests and 600K tokens per minute, tripling once a payment method is on file.
  • The model list is read live: when Modular ships a new model, it appears in your picker on the next refresh.
  • For coding agents, Kimi K2.7 Code. It always reasons before answering, so budget output tokens above the visible answer.

Your key and your data

Modular's API does not accept direct browser calls, so requests go through the Big-AGI fast edge servers - there is no Direct Connection toggle on this vendor. Your key stays in your browser and is sent only with your requests. Chats are stored on your device first and sync only if you turn sync on. The AI Inspector shows every request, the token counts, and the cost estimate.

Modular in Beam

Beam runs one prompt across several models in parallel, then fuses the answers, and one Modular balance covers several of its models in the same run. Parallel runs use more tokens than a single chat.

Modular questions

FAQ

Is Modular Cloud OpenAI-compatible, and do I need a base URL in Big-AGI?

Yes: Modular Cloud serves the OpenAI chat completions API at api.modular.com/v1, which is how Cursor and OpenCode connect to it. In Big-AGI, Modular is a native vendor: paste the key, no base URL, and the model list loads from Modular's catalog.

How much does Modular Cloud cost?

Pay per token at Modular's published per-model rates, drawn from prepaid credit you load at console.modular.com; every model's price is in the list on this page. Big-AGI adds no markup: the bill is between you and Modular.

Why does my Modular API key return a 401?

Three causes share that code: the prepaid balance hit zero, the key passed its expiration date, or the key is wrong. Top up or recreate the key at console.modular.com; Big-AGI refills the model list once a working key is in place.

Can Big-AGI be the web UI for my own MAX server?

Yes. Switch the Modular vendor's Endpoint to "MAX self-hosted" and enter your server URL, such as http://localhost:8000; an API key is optional. The models your MAX server loads then appear in Big-AGI's list, next to Modular Cloud's.

Checked September 14, 2026

Bring your Modular key. Keep control.

Your key, your data, your choice of model. Big-AGI's Open branch is open source and self-hostable, so you can check exactly how Modular is called.

Launch Big-AGI

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