As of August 30, 2026, Sarvam-30B API pricing is $0.30 per million input tokens and $0.30 per million output tokens. A typical 100K-in / 20K-out request costs $0.04. Source: https://www.sarvam.ai/
Blended / 1M
$0.60
Input
$0.30
Output
$0.30
100K / 20K
$0.04
Specs
32.8K
Mar 6, 2026
Open source
Percentile against every model with a published score on that eval. Click a row for the full board.
SWE-bench Verified against blended input+output $/M. Log price. Sarvam-30B is the green point.
Published scores
14 evals · 6 groups
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As of August 30, 2026, Sarvam-30B Sarvam AI API pricing is $0.30 per million input tokens and $0.30 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://www.sarvam.ai/
On this page the blended Sarvam-30B API cost is $0.60 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $1.20.
A typical Sarvam-30B API request with 100K input tokens and 20K output tokens costs about $0.04 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Sarvam AI can bring the real invoice lower than the public list rate at https://www.sarvam.ai/.
Sarvam-30B supports a 33K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Sarvam-30B is an open-weight model by Sarvam AI. You can download the weights and self-host, or pay Sarvam AI's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Sarvam-30B currently reports GPQA 66.5%, SWE-bench Verified 34%, LiveCodeBench v6 70%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Sarvam-30B scores 34% on SWE-bench Verified. Pair that score with Sarvam AI API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Sarvam-30B vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Sarvam-30B. Open-weight models can be cheaper still if you self-host, but that is not the same as Sarvam AI API pricing on this page.
Sarvam-30B is called through Sarvam AI's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Sarvam AI and 5+ other providers with auth, payments, and deployment already configured.
This Sarvam-30B page tracks the latest published Sarvam AI API pricing from Sarvam AI, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://www.sarvam.ai/. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Sarvam-30B is a open-source model from Sarvam AI. Current API pricing is $0.30 per million input tokens and $0.30 per million output tokens, with a 32.8K token context window. A blended 1M-in / 1M-out workload costs $0.60.
Source: Sarvam AI pricing (https://www.sarvam.ai/)
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