As of August 30, 2026, MedGemma 4B IT is 90% cheaper per million tokens than Sarvam-30B. MedGemma 4B IT is $0.02 / $0.04 per million input/output tokens versus Sarvam-30B at $0.30 / $0.30. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://www.sarvam.ai/
Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Sarvam AI pricing (https://www.sarvam.ai/)
MedGemma 4B IT
Input
$0.02
Output
$0.04
Sarvam-30B
Sarvam AI
Input
$0.30
Output
$0.30
Token pricing, specs, and benchmarks side by side
MedGemma 4B ITSarvam-30BVerdict
Both models are closely matched on benchmarks. MedGemma 4B IT has the pricing advantage, making it the better value unless Sarvam-30B's specific capabilities are critical to your workflow.
As of August 30, 2026, MedGemma 4B IT is 90% cheaper on blended LLM API pricing. MedGemma 4B IT costs $0.02 per million input tokens and $0.04 per million output tokens ($0.06 blended 1M-in + 1M-out). Sarvam-30B costs $0.30 / $0.30 per million tokens ($0.60 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://www.sarvam.ai/. The cheapest LLM for your app still depends on how many output tokens you generate.
MedGemma 4B IT Gemini API pricing is $0.02 input and $0.04 output per million tokens via Google. Sarvam-30B Sarvam AI API pricing is $0.30 input and $0.30 output per million tokens via Sarvam AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Sarvam-30B has a published SWE-bench Verified score of 34%. MedGemma 4B IT does not have that eval on this page yet.
MedGemma 4B IT supports a 33K token context window, while Sarvam-30B supports 33K tokens. Both models have the same context window size. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for MedGemma 4B IT and Sarvam-30B are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both MedGemma 4B IT and Sarvam-30B are production API models. For cost-sensitive production traffic, MedGemma 4B IT has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call MedGemma 4B IT through Google and Sarvam-30B through Sarvam AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Gemini API pricing and Sarvam AI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://www.sarvam.ai/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
MedGemma 4B IT supports up to an unspecified number of output tokens per request, while Sarvam-30B supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither MedGemma 4B IT nor Sarvam-30B has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MedGemma 4B IT or Sarvam-30B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. MedGemma 4B IT costs $0.02/M input and $0.04/M output. Sarvam-30B costs $0.30/M input and $0.30/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
343 models across 36 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
