Sarvam 30B

Sarvam 30B

Sarvamtext

API Available

Specifications

Context Window

Input Price/1M

$0.03

Output Price/1M

$0.11

Parameters

Speed

195 tok/s

Latency (TTFT)

1.2s

Benchmarks

Sarvam 30B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard2.0100.0

Coding

BenchmarkScoreMaximumMethodology
SciCode19.0100.0
AA Coding Index7.9100.0Artificial Analysis official API

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR0.0100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index6.6100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
GPQA Diamond63.0100.0Artificial Analysis official API
IFBench26.0100.0
HLE7.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench35.0100.0

Information

Release date
March 06, 2026
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Sarvam 30B

What is Sarvam 30B?

Sarvam 30B is an AI model developed by Sarvam, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Sarvam's cloud API.

Pricing & Costs in 2026

Sarvam 30B is usage-based, priced at $0.026/1M input tokens and $0.11/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

Sarvam 30B was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Sarvam 30B specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Sarvam 30B competes directly with similarly capable models. Sarvam competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Sarvam 30B?

Sarvam 30B is an AI model developed by Sarvam. It is a text model.

How much does Sarvam 30B cost?

Sarvam 30B costs $0.026/1M input tokens and $0.11/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Sarvam 30B compare with other models?

In available benchmarks, Sarvam 30B scored: Terminal-Bench Hard: 2/100, SciCode: 19/100, AA Coding Index: 7.9/100. See the full table above for a detailed comparison.

Is Sarvam 30B open source?

No, Sarvam 30B is a proprietary model from Sarvam. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Sarvam 30B best for?

Sarvam 30B excels at general-purpose language tasks.

Last updated: June 22, 2026 View methodology →