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Comparison · 2 models · Updated Oct 4, 2026

Granite-4.0-H-Micro vs Sarvam 30B

Too close to call on our weighted score (Granite-4.0-H-Micro 65, Sarvam 30B 65). The right pick depends on what you value most.

  1. IBM

    Granite-4.0-H-Micro

    Released Oct 2, 2025

    65/100
    • ECI—
    • Price$0.017 / $0.112
    • Context131K
    Full specs Remove Granite-4.0-H-Micro

  2. Sarvam AI

    Sarvam 30B

    Released Feb 18, 2026

    65/100
    • ECI—
    • Price$0.02 / $0.10
    • Context128K
    Full specs Remove Sarvam 30B

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 65/100, Sarvam 30B 65/100), so choose by what matters most for your work: Sarvam 30B on price and Granite-4.0-H-Micro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceSarvam 30BSarvam 30B $0.04 · Granite-4.0-H-Micro $0.041 per 1M tokens (3:1 blend)
  • Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · Sarvam 30B 128,000 tokens
  • Widest inputsSame inputsGranite-4.0-H-Micro: Text · Sarvam 30B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGranite-4.0-H-MicroSarvam 30B
Price50%100100
Inputs & features30%3535
Context window20%2424
Overall100%65/10065/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Granite-4.0-H-Micro vs Sarvam 30B specifications side by side
SpecificationGranite-4.0-H-MicroIBMSarvam 30BSarvam AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.017 (best)$0.02
Output$0.112$0.10 (best)
Cached input——
Blended (3:1)$0.041$0.04 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens (best)128,000 tokens
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes · low · medium · high
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID—sarvam-30b
API providers12 (best)
ReleasedOct 2, 2025Feb 18, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Granite-4.0-H-Micro$0.394
  • Sarvam 30B$0.40
04 — Questions

Which should you choose?

Which is better: Granite-4.0-H-Micro or Sarvam 30B?

It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 65/100, Sarvam 30B 65/100), so choose by what matters most for your work: Sarvam 30B on price and Granite-4.0-H-Micro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Granite-4.0-H-Micro or Sarvam 30B?

Sarvam 30B is cheaper at $0.02 input / $0.10 output per million tokens (median across 1 API provider). Granite-4.0-H-Micro costs $0.017 input / $0.112 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.04 per million tokens for Sarvam 30B versus $0.041 for Granite-4.0-H-Micro (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Granite-4.0-H-Micro has not been scored yet and Sarvam 30B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Granite-4.0-H-Micro and Sarvam 30B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Granite-4.0-H-Micro has the largest context window at 131,072 tokens, against 128,000 for Sarvam 30B. Maximum output per response: Granite-4.0-H-Micro up to 131,072, Sarvam 30B up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Granite-4.0-H-Micro accepts text; Sarvam 30B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Sarvam 30B is the newest, released Feb 18, 2026. Granite-4.0-H-Micro came out Oct 2, 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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