Compare/Granite 4.1 8B vs Sarvam 30B (high)

Granite 4.1 8BvsSarvam 30B (high)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

IBM

Granite 4.1 8B

Input
$0.05/M
Output
$0.1/M
Speed
117 tok/s
TTFT
0.75s
Sarvam

Sarvam 30B (high)

Input
$0.03/M
Output
$0.11/M
Speed
TTFT

Winner by Category

Cheaper
Sarvam 30B (high)
Faster (tok/s)
Granite 4.1 8B
Lower Latency
Granite 4.1 8B
Benchmarks (1-0)
Granite 4.1 8B

Pricing Comparison

MetricGranite 4.1 8BSarvam 30B (high)
Input ($/M tokens)$0.05$0.03
Output ($/M tokens)$0.1$0.11
Cost for 1M input + 100K output tokens:
Granite 4.1 8B$0.06
Sarvam 30B (high)$0.04

Speed Comparison

Output Speed (tokens/s) — higher is better
Granite 4.1 8B
117 tok/s
Sarvam 30B (high)
Time to First Token (seconds) — lower is better
Granite 4.1 8B
0.75s
Sarvam 30B (high)

Editorial Analysis

Verdict. Granite 4.1 8B wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, Granite 4.1 8B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Granite 4.1 8B makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Granite 4.1 8B is strongest on Coding Index (9.5), Intelligence Index (6.4). Sarvam 30B (high) leads on Intelligence Index (6.4).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. IBM and Sarvam sell to overlapping but distinct developer audiences: IBM tends to ship frontier reasoning models with premium positioning, while Sarvam often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Granite 4.1 8B costs $3.00 ($36/year); Sarvam 30B (high) costs $2.55 ($31/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Granite 4.1 8B ≈ $0.45/run, Sarvam 30B (high) ≈ $0.37/run. At agent/realtime scale (200M input / 100M output per million requests): Granite 4.1 8B ≈ $20/run, Sarvam 30B (high) ≈ $17/run. Sarvam 30B (high) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
6.46.4
Coding Index
9.5
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Granite 4.1 8B1 wins
0 winsSarvam 30B (high)

Frequently Asked Questions

Which is cheaper, Granite 4.1 8B or Sarvam 30B (high)?

Sarvam 30B (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.05/M tokens vs $0.06/M for Granite 4.1 8B.

Which model performs better on benchmarks?

Granite 4.1 8B wins 1 out of 12 benchmarks compared to 0 for Sarvam 30B (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Granite 4.1 8B generates tokens faster at 117 tok/s vs — tok/s. Granite 4.1 8B also has lower time-to-first-token (0.75s vs —s).

When should I use Granite 4.1 8B vs Sarvam 30B (high)?

Choose based on your priorities: Sarvam 30B (high) for lower cost, Granite 4.1 8B for stronger benchmark performance, and Granite 4.1 8B for faster generation. For latency-sensitive apps, check the TTFT comparison above.