Inference.net vs Meta

Inference.net lists 2 models and Meta 9. Inference.net is cheaper on a typical model ($0.08 per 1M tokens median). Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.

At a glance

Inference.netMeta
Models listed29
Models with published pricing29
Typical price (median, 3:1 blend per 1M)$0.08$2.00
Cheapest paid modelInference.net: Schematron V2 Turbo ($0.06)Meta: Muse Spark 1.2 Contributor ($0.13)
Longest contextInference.net: Schematron V2 Small (128K)Meta: Muse Spark 1.1 (1.0M)
Free models00
Newest modelInference.net: Schematron V2 Small (2026-09-12)Meta: Muse Spark Open (2026-10-15)
Price changes in the last 90 days011
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What each costs for real workloads

For each workload: the cheapest model from each provider that can actually do it (fits the context window; tool calling required for the agent), and its monthly cost at list price.

Workload (per month)Inference.netMeta
Customer-support chatbot
50,000 conversations — each a 6-turn conversation
$5.25 with Inference.net: Schematron V2 Turbo$11.50 with Meta: Muse Spark 1.2 Contributor
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages
$5.10 with Inference.net: Schematron V2 Turbo$14.00 with Meta: Muse Spark 1.2 Contributor
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context
no suitable model$14.40 with Meta: Muse Spark 1.2 Contributor
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page
$3.30 with Inference.net: Schematron V2 Turbo$9.20 with Meta: Muse Spark 1.2 Contributor
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass
$1.65 with Inference.net: Schematron V2 Turbo$5.20 with Meta: Muse Spark 1.2 Contributor

Cheapest model for each capability

You needInference.netMeta
Any modelInference.net: Schematron V2 Turbo ($0.06)Meta: Muse Spark 1.2 Contributor ($0.13)
With tool callingnone listedMeta: Muse Spark 1.2 Contributor ($0.13)
With image inputnone listedMeta: Muse Spark 1.2 Contributor ($0.13)
With reasoning modenone listedMeta: Muse Spark 1.2 Contributor ($0.13)
128K+ contextInference.net: Schematron V2 Turbo ($0.06)Meta: Muse Spark 1.2 Contributor ($0.13)
1M+ contextnone listedMeta: Muse Spark 1.2 Contributor ($0.13)

Line-up by type and price tier

Model typeInference.netMeta
text+image+file+audio+video->text02
text+image+file+video->text05
text+image->text02
text->text20
Price per 1M (3:1 blend)Inference.netMeta
Free00
Under $0.5023
$0.50 – $305
$3 – $1001
$10 and up00

Frequently asked questions

How does Inference.net cost compare with Meta cost?

Inference.net is cheaper on a typical model: a median of $0.08 per 1M tokens (3:1 input/output) against $2.00 for Meta. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and Meta: Muse Spark 1.2 Contributor at $0.13.

Is Inference.net better than Meta?

It depends on the job: Meta offers the broader line-up (2 models vs 9), Inference.net the lower typical price, Meta the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.

Which has more models, Inference.net or Meta?

Meta: Inference.net lists 2 models and Meta lists 9.

Which provider has the longest context window?

Meta: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; Meta's is Meta: Muse Spark 1.1 at 1.0M.

Do Inference.net or Meta offer free models?

Neither lists a free model; both are pay-per-token.

Which provider has models that can read images?

Inference.net: 0 of 2 models accept images. Meta: 9 of 9.

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