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Compare/Sarvam 105B (high) vs Agnes 3.0 Flash

Sarvam 105B (high)vsAgnes 3.0 Flash

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

Sarvam

Sarvam 105B (high)

Input
$0.04/M
Output
$0.17/M
Speed
—
TTFT
—
Sapiens AI

Agnes 3.0 Flash

Input
$0.05/M
Output
$0.15/M
Speed
237 tok/s
TTFT
1.84s

Winner by Category

Cheaper
Sarvam 105B (high)
Faster (tok/s)
Agnes 3.0 Flash
Lower Latency
Agnes 3.0 Flash
Benchmarks (0-1)
Agnes 3.0 Flash

Pricing Comparison

MetricSarvam 105B (high)Agnes 3.0 Flash
Input ($/M tokens)$0.04$0.05
Output ($/M tokens)$0.17$0.15
Cost for 1M input + 100K output tokens:
Sarvam 105B (high)$0.06
Agnes 3.0 Flash$0.07

Speed Comparison

Output Speed (tokens/s) — higher is better
Sarvam 105B (high)
—
Agnes 3.0 Flash
237 tok/s
Time to First Token (seconds) — lower is better
Sarvam 105B (high)
—
Agnes 3.0 Flash
1.84s

Editorial Analysis

Verdict. Agnes 3.0 Flash takes the aggregate benchmark matchup 1–0 across 1 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.1× the per-million-token cost, Agnes 3.0 Flash is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Agnes 3.0 Flash makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Sarvam 105B (high) is strongest on Intelligence Index (8.8). Agnes 3.0 Flash leads on Intelligence Index (35.5).

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

Provider. Sarvam and Sapiens AI sell to overlapping but distinct developer audiences: Sarvam tends to ship frontier reasoning models with premium positioning, while Sapiens AI 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): Sarvam 105B (high) costs $3.75 ($45/year); Agnes 3.0 Flash costs $3.75 ($45/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Sarvam 105B (high) ≈ $0.54/run, Agnes 3.0 Flash ≈ $0.55/run. At agent/realtime scale (200M input / 100M output per million requests): Sarvam 105B (high) ≈ $25/run, Agnes 3.0 Flash ≈ $25/run.

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
8.835.5
Coding Index
——
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Sarvam 105B (high)0 wins
1 winsAgnes 3.0 Flash

Frequently Asked Questions

Which is cheaper, Sarvam 105B (high) or Agnes 3.0 Flash?

Sarvam 105B (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.07/M tokens vs $0.07/M for Agnes 3.0 Flash.

Which model performs better on benchmarks?

Agnes 3.0 Flash wins 1 out of 12 benchmarks compared to 0 for Sarvam 105B (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Agnes 3.0 Flash generates tokens faster at 237 tok/s vs — tok/s. However, Agnes 3.0 Flash has lower time-to-first-token (1.84s vs —s).

When should I use Sarvam 105B (high) vs Agnes 3.0 Flash?

Choose based on your priorities: Sarvam 105B (high) for lower cost, Agnes 3.0 Flash for stronger benchmark performance, and Agnes 3.0 Flash for faster generation. For latency-sensitive apps, check the TTFT comparison above.