Sarvam 105B Conversations API model profile
Evidence snapshot:
Sarvam 105B Conversations is a Sarvam AI model profile with a 128,000-token context window. The dated catalog snapshot records text modalities and interfaces for conversation, structured output, web search.
Sarvam 105B Conversations is a fast Sarvam AI route on Kendr for conversation, web search, structured output workloads. It exposes 128K context or 128k generation through Kendr Cloud. Published reference pricing is ₹29.28 / ₹73.20 (INR per 1M tokens; cached input ₹10.98/M).
Sarvam 105B Conversations is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.
Sarvam 105B Conversations is available under the Kendr alias kc-sarvam-105b-conversations. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.
Sarvam 105B Conversations accepts text and returns text. The snapshot records conversation, structured output, and web search as capabilities or interfaces.
The dated reference snapshot lists No verified rate input and No verified rate output per million tokens. The separately published provider-route reference is ₹29.28 / ₹73.20 (INR per 1M tokens; cached input ₹10.98/M).
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.
No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Kendr API model
- Kendr API alias
- kc-sarvam-105b-conversations
- Model developer
- Sarvam AI
- Kendr route provider
- Sarvam AI
- Context window
- 128K
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- sarvam/sarvam-105b-conversations
When to pick Sarvam 105B Conversations
Sarvam 105B Conversations is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.
Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.
- Look elsewhere when the prompt is long. The 128K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route.
- Look elsewhere when you are building an agent. No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions.
Context, modalities, and identity
Sarvam 105B Conversations accepts text and returns text. The snapshot records conversation, structured output, and web search as capabilities or interfaces.
- Model developer
- Sarvam AI
- Kendr route provider
- Sarvam AI
- Context window
- 128K
- Maximum output
- No verified numeric limit
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
Sarvam 105B Conversations is a fast Sarvam AI route on Kendr for conversation, web search, structured output workloads. It exposes 128K context or 128k generation through Kendr Cloud. Published reference pricing is ₹29.28 / ₹73.20 (INR per 1M tokens; cached input ₹10.98/M).
- Reference model ID
- sarvam/sarvam-105b-conversations
- Canonical version
- sarvam-105b-conversations
- Hugging Face ID
- Not separately documented
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- No verified parameter list
- conversation
- structured output
- web search
Dated pricing snapshot
The dated reference snapshot lists No verified rate input and No verified rate output per million tokens. The separately published provider-route reference is ₹29.28 / ₹73.20 (INR per 1M tokens; cached input ₹10.98/M).
Reference figures are dated 2026-09-06; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.
- Price date
- 2026-09-06
- Input
- No verified rate
- Cached input
- No verified rate
- Output
- No verified rate
Benchmark evidence and limitations
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.
No normalized third-party benchmark fields in this snapshot.
Popularity and market context
No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
- Third-party catalog rank
- No verified rank
- Global market share
- Not inferred
- Observation date
- 2026-09-06
OpenAI-compatible API example
This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.
curl https://api.kendr.org/v1/chat/completions \
-H "Authorization: Bearer $KENDR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"kc-sarvam-105b-conversations","messages":[{"role":"user","content":"Hello"}]}'Frequently asked questions
When should I use Sarvam 105B Conversations?
Sarvam 105B Conversations is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out. Look elsewhere when the prompt is long: The 128K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route. Look elsewhere when you are building an agent: No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions.
What is Sarvam 105B Conversations?
Sarvam 105B Conversations is a Sarvam AI model profile with a 128,000-token context window. The dated catalog snapshot records text modalities and interfaces for conversation, structured output, web search.
What context window does Sarvam 105B Conversations have?
The dated profile lists 128K of context. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for Sarvam 105B Conversations?
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. No normalized third-party benchmark fields in this snapshot.
What is the Kendr API alias for Sarvam 105B Conversations?
Use kc-sarvam-105b-conversations as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.
How is Sarvam 105B Conversations priced on Kendr?
The dated reference snapshot lists No verified rate input and No verified rate output per million tokens. The separately published provider-route reference is ₹29.28 / ₹73.20 (INR per 1M tokens; cached input ₹10.98/M). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.
Sources and evidence dates
- Sarvam 105B Conversations provider or route reference (primary, checked 2026-09-06)