AI model comparison

Sarvam 105B vs Sarvam 30B

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Sarvam 105B from Sarvam lists 131.07K context, 131.07K maximum output. Sarvam 30B from Sarvam lists 128K context, 128K maximum output. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Sarvam

Sarvam 105B

Sarvam 105B from Sarvam: Flagship Indian-language reasoning model for enterprise multilingual applications.

Context
131.07K
Max output
131.07K

Accepts

  • Text input

Produces

  • Text output
VS

Sarvam

Sarvam 30B

Sarvam 30B from Sarvam: Efficient Indian-language reasoning model for chat, coding, and multilingual work.

Context
128K
Max output
128K

Accepts

  • Text input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Sarvam 105B

  • Context capacity: 131.07K
  • Maximum output: 131.07K

Context capacity

Higher listed limit

Sarvam 105B:131.07K

Sarvam 30B:128K

Sarvam 105B

Maximum output

Higher listed limit

Sarvam 105B:131.07K

Sarvam 30B:128K

Sarvam 105B

Specifications

Pricing, limits and capabilities

Specifications for Sarvam 105B and Sarvam 30B. Higher limits and lower prices describe these figures only.
SpecificationSarvam 105BSarvam 30B
ProviderSarvamSarvam
Listed pricing routeSarvamSarvam
Model familysarvamsarvam
Accepted inputstexttext
Produced outputstexttext
Context window131.07KHigher128K
Max output131.07KHigher128K
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseOpen weightsOpen weights

Workload guidance

Which model should you choose?

Consider Sarvam 105B if you need larger context or larger maximum output. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison