Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Llama 3.1 Instruct 8B | Sarvam 30B (high) |
|---|---|---|
| Input ($/M tokens) | $0.02 | $0.03 |
| Output ($/M tokens) | $0.05 | $0.11 |
Verdict. Llama 3.1 Instruct 8B wins the overall benchmark matchup 2–0 across 2 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 0.5× the per-million-token cost, Llama 3.1 Instruct 8B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Llama 3.1 Instruct 8B makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Llama 3.1 Instruct 8B is strongest on Intelligence Index (7.4), Coding Index (5.4). Sarvam 30B (high) leads on Intelligence Index (6.4).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Meta and Sarvam sell to overlapping but distinct developer audiences: Meta 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): Llama 3.1 Instruct 8B costs $1.35 ($16/year); Sarvam 30B (high) costs $2.55 ($31/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Llama 3.1 Instruct 8B ≈ $0.20/run, Sarvam 30B (high) ≈ $0.37/run. At agent/realtime scale (200M input / 100M output per million requests): Llama 3.1 Instruct 8B ≈ $9/run, Sarvam 30B (high) ≈ $17/run. Llama 3.1 Instruct 8B 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.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Llama 3.1 Instruct 8B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.03/M tokens vs $0.05/M for Sarvam 30B (high).
Llama 3.1 Instruct 8B wins 2 out of 12 benchmarks compared to 0 for Sarvam 30B (high). See the detailed benchmark chart above for per-category results.
Llama 3.1 Instruct 8B generates tokens faster at 138 tok/s vs — tok/s. Llama 3.1 Instruct 8B also has lower time-to-first-token (0.93s vs —s).
Choose based on your priorities: Llama 3.1 Instruct 8B for lower cost, Llama 3.1 Instruct 8B for stronger benchmark performance, and Llama 3.1 Instruct 8B for faster generation. For latency-sensitive apps, check the TTFT comparison above.