Model provider cost

Host Kimi Linear 48B-A3B Instruct on Lambda

Kimi Linear 48B-A3B Instruct needs 1x 48GB+ GPU, and Lambda's current cheapest qualifying row is A100 SXM4 at $1.99/hr.

1x 48GB+ GPU 49B params Long-context specialist MIT

Check Lambda availability Compare all LLM costs All Lambda GPUs

Cheapest on this provider

$1.99/hr

A100 SXM4

Monthly estimate

$1,453/mo

730 hours at the current median

VRAM baseline

48GB

1x 48GB+ GPU

Qualifying rows

Updated Jul 31, 2026

Live hosting options

Lambda rows that can host Kimi Linear 48B-A3B Instruct

The cheapest tracked way to host Kimi Linear 48B-A3B Instruct on Lambda is A100 SXM4 at $1.99/hr. The overall tracked market floor is $0.44/hr on RunPod, so Lambda is $1.55/hr above the current floor.

Price source Lambda Labs instance types API Provider API pricing; availability and spot/community rows can move quickly.

Methodology Freshness

GPU	VRAM	Per GPU	Estimated hourly	Estimated monthly	Offers	Updated
A100 SXM4	80GB	$1.99/hr	$1.99/hr	$1,453/mo	7	Jul 31, 2026 Lambda Labs instance types API 7 offers · Jul 31, 2026 global aggregate
H100 PCIE	80GB	$3.29/hr	$3.29/hr	$2,402/mo	1	Jul 31, 2026 Lambda Labs instance types API 1 offer · Jul 31, 2026 global aggregate
H100 SXM	80GB	$4.29/hr	$4.29/hr	$3,132/mo	3	Jul 31, 2026 Lambda Labs instance types API 3 offers · Jul 31, 2026 global aggregate

Model fit

Why this setup does or does not fit

VRAM floor

1x 48GB+ GPU

1x 80GB GPU for meaningful long-context headroom. Long prompts, batching, and KV cache can require extra headroom.

Model quality

Long-context specialist

Its value is architectural efficiency at long context, not simply benchmark-maxing against the trillion-parameter Kimi flagships.

Operational note

Kimi 49B

The model card reports up to 75% less KV-cache demand and a 1M-token context, but real 1M serving still needs substantial memory.

FAQ

Kimi Linear 48B-A3B Instruct on Lambda FAQ

Can I host Kimi Linear 48B-A3B Instruct on Lambda?

The cheapest tracked way to host Kimi Linear 48B-A3B Instruct on Lambda is A100 SXM4 at $1.99/hr.

What GPU memory does Kimi Linear 48B-A3B Instruct need?

Our baseline for Kimi Linear 48B-A3B Instruct is 1x 48GB+ GPU. The practical recommendation is 1x 80GB GPU for meaningful long-context headroom.

Is Lambda the cheapest provider for Kimi Linear 48B-A3B Instruct?

The overall tracked market floor is $0.44/hr on RunPod, so Lambda is $1.55/hr above the current floor.

How fresh is this Lambda Kimi Linear 48B-A3B Instruct cost page?

This page recalculates from the latest tracked on-demand rows. The freshest qualifying Lambda row shown here is from Jul 31, 2026.

Next research paths

Compare this setup

Agent-assisted setup

Hand this runbook to Claude Code or Codex

Open a terminal in the repository where you want the deployment files, start claude or codex, then paste this prompt. It asks the agent to verify sources and stop before it creates billable infrastructure.

Claude Code quickstart ↗ Codex docs ↗

Deployment prompt

Use the infrastructure or model context on this page to create a reproducible open-model deployment. Use this guide as the starting context: https://www.getflops.ai/llms/kimi-linear-48b-a3b-instruct/lambda. Read the linked model card and provider documentation before choosing hardware or runtime settings. Open every linked primary source and flag any mismatch instead of guessing. Create a deployment folder containing README.md, .env.example with no secrets, a pinned start script or infrastructure manifest, and smoke-test.sh. Make the endpoint OpenAI-compatible where the runtime supports it. Run local/static validation, estimate the billable resources, and stop before provisioning paid infrastructure until I approve.

Guardrails included No secrets in files · verify primary docs · approval before spend