Compare/Sarvam 30B (high) vs gpt-oss-20B (low)

Sarvam 30B (high)vsgpt-oss-20B (low)

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

Sarvam

Sarvam 30B (high)

Input
$0/M
Output
$0/M
Speed
247 tok/s
TTFT
1.21s
OpenAI

gpt-oss-20B (low)

Input
$0.06/M
Output
$0.2/M
Speed
265 tok/s
TTFT
0.42s

Winner by Category

Cheaper
Sarvam 30B (high)
Faster (tok/s)
gpt-oss-20B (low)
Lower Latency
gpt-oss-20B (low)
Benchmarks (2-9)
gpt-oss-20B (low)

Pricing Comparison

MetricSarvam 30B (high)gpt-oss-20B (low)
Input ($/M tokens)$0$0.06
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
Sarvam 30B (high)$0.00
gpt-oss-20B (low)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Sarvam 30B (high)
247 tok/s
gpt-oss-20B (low)
265 tok/s
Time to First Token (seconds) — lower is better
Sarvam 30B (high)
1.21s
gpt-oss-20B (low)
0.42s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.320.8
Coding Index
7.914.4
Math Index
62.3
GPQA Diamond
63.3%61.1%
MMLU-Pro
71.8%
LiveCodeBench
65.2%
AIME 2025
62.3%
MATH-500
Humanity's Last Exam
7.0%5.1%
SciCode
19.2%34.0%
IFBench
26.5%57.8%
TerminalBench
2.3%4.5%
Sarvam 30B (high)2 wins
9 winsgpt-oss-20B (low)

Frequently Asked Questions

Which is cheaper, Sarvam 30B (high) or gpt-oss-20B (low)?

Sarvam 30B (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.10/M for gpt-oss-20B (low).

Which model performs better on benchmarks?

gpt-oss-20B (low) wins 9 out of 12 benchmarks compared to 2 for Sarvam 30B (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (low) generates tokens faster at 265 tok/s vs 247 tok/s. However, gpt-oss-20B (low) has lower time-to-first-token (0.42s vs 1.21s).

When should I use Sarvam 30B (high) vs gpt-oss-20B (low)?

Choose based on your priorities: Sarvam 30B (high) for lower cost, gpt-oss-20B (low) for stronger benchmark performance, and gpt-oss-20B (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.